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Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None The Healthcare Finance Data and AI team translates healthcare data into measurable healthcare financial performance. This role is dedicated to managed care contracting – you will learn to read payer contracts (commercial and government), model reimbursement terms in our existing tools, and enhance those tools with automation using SQL and Python. You will partner with contracting, revenue integrity, and patient financial services teams to ensure our modeled rates and rules align with contract language and adjudication behavior, and you will turn findings into clear, executive-ready recommendations. * Learn and interpret payer contracts (fee schedules, DRG/APC, per diem, percent-of-charge, case rates, carveouts, stoploss/outlier, multiple procedure reductions, modifiers, bundling/packaging rules, lesser-of logic, escalators, effective dates, term/renewal, amendments). * Translate contract terms into machine-readable logic and configure/model those terms in our existing pricing/adjudication tools. * Validate modeled results by reconciling remittance advice (835/ERA) and historical payments; investigate and resolve discrepancies with root cause analysis. * Maintain a controlled library of contract models (versioning, effective/expiry dates, audit trail, documentation of assumptions). * Build/optimize ETL/ELT pipelines to ingest fee schedules and contract artifacts; implement QA/validation checks (e.g., dimensional completeness, rate reasonableness, variance thresholds). * Use advanced SQL (window functions, CTEs, stored procedures, query tuning) to automate contract lookups, grouper logic, case mix normalization, and variance analytics. * Use Python (preferred) for parsing artifacts, applying calculation engines, regression/variance checks, and generating repeatable validation reports. * Develop Power BI/Tableau dashboards for contract performance (e.g., allowed vs. expected, underpayment/overpayment detection, denial patterns, yield by payer/product). * Own analytics workstreams; present findings that connect contract mechanics to RCM KPIs (denial rate, DNFB, AR days, first pass yield, cash acceleration, net revenue). * Work with Managed Care/Finance, Revenue Integrity/CDM, PFS, and IT/Data teams to align interpretation, data sources, and operationalization. * Support pursuits (POVs, demos) showcasing our contract modeling capabilities and automation. * Enhance our contract modeling tooling: propose schema/logic improvements, performance tuning, error handling, and test harnesses. * Contribute reusable assets (SQL/Python modules, validation checklists, samples, documentation); uphold SDLC/Agile practices and code review standards. What You Will Need: * Bachelor's degree is required * Minimum THREE (3) years of experience in healthcare analytics, consulting, or adjacent healthcare services with measurable data driven outcomes (revenue cycle management exposure strongly preferred). * Experience building production-grade ETL/ELT processes and implementing data quality frameworks. * Proficiency with BI/visualization tools (Power BI or Tableau) and strong Excel skills. * Excellent communication—able to translate technical and contractual details into concise, executive-ready insights. * Detail oriented, self-directed, collaborative teammate comfortable leading workstreams. What Would Be Nice To Have: * Hands‑on with Azure Data Factory, Databricks, SSIS (or similar). * Understanding of payer/provider operations and payment methodologies; experience with contract modeling or payment variance analytics is a strong plus (we will train on contract reading). * Experience with Agile practices and Git-based version control. * Experience with regulatory reporting and transparency initiatives (e.g., CMS price transparency, charge master reviews). The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ___. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact ___. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: • Data Collection & Management: Identify, gather, and manage data from primary and secondary sources, ensuring its accuracy and integrity., • Data Cleaning & Preprocessing: Clean raw data by identifying and addressing inconsistencies, missing values, and errors to prepare it for analysis., • Data Analysis & Interpretation: Apply statistical techniques and analytical methods to explore datasets, discover trends, find patterns, and derive insights., • Data Visualization & Reporting: Develop reports, dashboards, and visualizations using tools like Tableau or Power BI to present complex findings clearly to stakeholders., • Collaboration & Communication: Work with cross-functional teams, understand business requirements, and effectively communicate insights to support data-driven decision-making., • Problem Solving: Address specific business challenges by using data to identify underperforming processes, pinpoint areas for growth, and determine optimal strategies. What You Will Need: • US Citizenship is required, • Bachelor's degree is required, • Minimum THREE (3) Years Experience using Power BI, Tableau and other visualization tools to develop intuitive and user friendly dashboards and visualizations., • Skilled in SQL, R, and other languages to assist in database querying and statistical programming., • Strong foundational knowledge and experience in statistics, probability, and experimental design., • Familiarity with cloud platforms (e.g., Amazon Web Services, Azure, or Google Cloud) and containerization (e.g., Docker)., • Experience applying data governance concepts and techniques to assure greater data quality and reliability., • he curiosity and creativity to uncover hidden patterns and opportunities., • Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: • Hands-on experience with Python, SQL, and modern ML frameworks., • Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models., • Expertise in Python or Java for data processing., • Demonstrated work experience within the public sector., • Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics. #LI-DNI The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or ___. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact ___. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description Launch or Level-Up Your Real Estate Career with Pioneer Realty Group Location: Lakeview | Chicago, IL Status: Full-Time or Part-Time | Commission-Based Are you just getting started in real estate—or feeling stuck at a brokerage that’s not investing in you? At Pioneer Realty Group, we believe in building careers, not just closing deals. Whether you’re a newly licensed agent or ready to take your business to the next level, our community-rooted brokerage offers the tools, mentorship, and opportunity to help you grow into the professional you want to be. We're not a corporate machine—we're a passionate, family-owned brokerage founded by a husband-and-wife team who understand what it means to hustle. Our leadership team brings decades of combined experience in property management, investment, and residential real estate, and they're ready to guide you from day one. Why Join Pioneer? * Mentorship That Moves the Needle Learn directly from experienced leaders like Helen Bailey (MBA, Real Estate Finance) and Sean Flynt (12+ years in property management), plus hands-on coaching from active leasing and sales professionals who started where you are now. * Close Deals Fast – Even as a New Agent Gain immediate access to our exclusive rental unit database, giving you a competitive edge in Chicago’s fast-paced market. * From Leasing to Lifetime Clients We don’t just teach you how to lease—we show you how to build a book of business that converts to buyers, sellers, and investors over time. * Real Estate with Purpose We're deeply involved in the neighborhoods we serve. From Sean’s tenant-first management philosophy to Helen’s work on the Lakeview SSA, we believe in doing well by doing good. * Multiple Paths for Growth Look at Savannah Whittington, who started with rentals and has since grown into a top-producing sales agent, thanks to mentoring and support that helped her build a client base from the ground up. Meet the Management & Mentor Team At Pioneer, you won’t be left figuring it out alone. Get to know the people who will actually help shape your journey: * Helen Bailey – Managing Broker Strategic thinker, community advocate, and the brains behind our growth-oriented approach to real estate. * Sean Flynt – Co-Founder & Property Manager 12+ years of boots-on-the-ground experience in leasing and investment—he’s walked the talk. * Jon Hamilton – Property Manager Operational wizard and expert in keeping client satisfaction and building performance aligned. * Ryan Anguilm – Leasing Director Mentor and motivator who helps new agents hit the ground running and build confidence fast. * Savannah Whittington – Director of Sales A top closer who started where you are—now mentoring others to build high-trust, high-volume businesses. * Matt Byrne – Leasing Manager Chicago native with serious hustle and a heart for helping people find home. Pro Tip: Check out their bios and social media to get a feel for their vibe—these are the people you’ll actually be learning from and working with every day. What You’ll Do * Help clients find and lease apartments across Chicago * Learn how to nurture long-term buyer/seller relationships * Conduct showings, write contracts, and negotiate deals * Build your network and reputation with our support * Work from our Lakeview office or in the field What You Need * Illinois Real Estate License (or a plan to get one—we’ll guide you) * A desire to grow your business and learn the industry inside-out * Great communication skills and a commitment to follow through * A car, smartphone, and laptop—and the motivation to use them daily Perks & Support * Competitive commissions (earn what you put in) * Real, daily mentorship and one-on-one coaching * Access to exclusive property listings and a proprietary lead database * Supportive, collaborative culture that celebrates your wins * Flexible scheduling—run your day, your way * Marketing and tech tools to help you stand out Ready to Start—or Restart—Your Real Estate Career? Let’s talk about your future with Pioneer Realty Group. Apply now by visiting: or email your resume to: Want to learn more about us? Follow us on social to get a behind-the-scenes look: LinkedIn: Facebook: YouTube: Company DescriptionPioneer Realty Group is a family owned full-service community-based brokerage. What does that mean? A full-service brokerage means we can help you with pretty much any real estate transaction or contract. We handle rentals, sales, investments, condo deconversions, gut rehabs, and property management to name a few. A community-based brokerage means we are here to serve the people of this community. The owners of the company live and invest in the community and we routinely participate in volunteer events. We are not a profit driven company just trying to make the next deal. Instead we want to provide the community with a trustworthy local Realtor that can service all their real estate needs and that they will continue to use and recommend. We pride ourselves in being a small, smart brokerage that offers superior services to our clients. Our agents are dedicated, hard working, and extremely knowledgeable of the local Chicago real estate market. Our office is very open with shared space for agents and dedicated work space for admins. Take a look at our growing you tube channel to get a better idea of who PRG is and if you may be a good fit! You can find it here; Here you can find several videos of construction projects managed by Pioneer Here you can find several funny short videos starring our amazing agents Want to hear what it is like to work at Pioneer Realty Group from a current agent? Check out our agent testimonials here. Realty Group is a family owned full-service community-based brokerage. What does that mean? A full-service brokerage means we can help you with pretty much any real estate transaction or contract. We handle rentals, sales, investments, condo deconversions, gut rehabs, and property management to name a few. A community-based brokerage means we are here to serve the people of this community. \r\n\r\nThe owners of the company live and invest in the community and we routinely participate in volunteer events. We are not a profit driven company just trying to make the next deal. Instead we want to provide the community with a trustworthy local Realtor that can service all their real estate needs and that they will continue to use and recommend. We pride ourselves in being a small, smart brokerage that offers superior services to our clients. Our agents are dedicated, hard working, and extremely knowledgeable of the local Chicago real estate market. Our office is very open with shared space for agents and dedicated work space for admins. \r\n\r\nTake a look at our growing you tube channel to get a better idea of who PRG is and if you may be a good fit! You can find it here;\r\n you can find several videos of construction projects managed by Pioneer\r\n you can find several funny short videos starring our amazing agents\r\n to hear what it is like to work at Pioneer Realty Group from a current agent? Check out our agent testimonials here.\r\n

Job Description Enova International is hiring! We provide a pay rate of $17.00/hr, coupled with a quarterly performance bonus and various other incentive programs. This role is entirely remote; however, candidates must reside within 100 miles of either Chicago, IL or South Jordan, UT. About Enova: Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions. About the role: Enova operates multiple consumer lending brands, each featuring distinct offerings and customer criteria. In the role of an Application Support Representative, you will undergo a comprehensive two-week training program to specialize in a specific brand. Following the completion of training, you will handle a significant volume of inbound calls, engaging with potential customers to aid them in their loan application process. Responsibilities: • Effectively manage incoming calls, adeptly assisting customers in navigating the loan application process, • Educate customers by explaining the distinctive features and advantages of Enova's products and services, • Initiate proactive outreach to customers as needed, encouraging them to finalize their loan application, • Uphold exceptional customer service standards through articulate and effective verbal and written communication, • Experience in a call center setting is preferred, • Proficient in phone communication and verbal skills, with a keen ability to actively listen, • Familiarity with CRM systems and their practices, • Customer-centric approach with adaptability to various personality types, • Health, dental, and vision insurance including mental health benefits, • 401(k) matching plus a roth option, • PTO & paid holidays off, • Paid parental leave, • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova), • Employee recognition and rewards program, • 2/2/2026Company DescriptionEnova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.

Director, Software Engineering As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Spark, Artifactory, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few. You will: * Lead, manage and grow multiple teams of product focused software engineers * Mentor and guide the professional and technical development of engineers on your team. * Work with product managers to understand desired application capabilities and testing scenarios * Continuously improve software engineering practices * Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies * Lead the craftsmanship, availability, resilience, and scalability of your solutions * Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community * Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity * Work across to improve the velocity of your and other teams * Lead efforts to deploy new and existing applications into AWS environments * Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications: * Bachelor’s Degree * At least 7 years’ experience in software development * At least 5 years’ experience in people management Preferred Qualifications: * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * 10+ years’ of experience in software development * 5+ years’ of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $239,900 - $273,800 for Director, Software Engineering McLean, VA: $263,900 - $301,200 for Director, Software Engineering Richmond, VA: $239,900 - $273,800 for Director, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Software Engineer, DevOps (CI/CD, Terraform, Jenkins, Github, Shell script, Unix/Linux, AWS EMR) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive___ and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: * Bachelor’s degree * At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) * At least 4 years of Unix or Linux system administration experience Preferred Qualifications: * 7+ years of DevOps Engineering experience * 4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) * 4+ years of experience with technologies Apache Mesos, Marathon, or Apache Spark * 4+ years of experience using build and deployment tools (Jenkins, Docker) * 2+ years of experience with distributed database systems (Cassandra, ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of experience working within Agile Development Practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Lead Software Engineer McLean, VA: $197,300 - $225,100 for Lead Software Engineer Riverwoods, IL: $179,400 - $204,700 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Site Reliability Engineer (Global Payment Network) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive___ and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Site Reliability Engineers who are passionate about marrying data with emerging technologies to join our team. As a Site Reliability Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: * Bachelor’s degree * At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) * At least 4 years of Unix or Linux system administration experience * At least 2 years of people management experience Preferred Qualifications: * 7+ years of DevOps Engineering experience * 4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) * 4+ years of experience with technologies Apache Mesos, Marathon, or Apache Spark * 4+ years of experience using build and deployment tools (Jenkins, Docker) * 2+ years of experience with distributed database systems (Cassandra, ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of experience working within Agile Development Practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $175,800 - $200,700 for Manager, Software Engineering McLean, VA: $193,400 - $220,700 for Manager, Software Engineering Riverwoods, IL: $175,800 - $200,700 for Manager, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,___inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems * Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor’s Degree * At least 3 years of experience in application development (Internship experience does not apply) * At least 1 year of experience in big data technologies Preferred Qualifications: * 5+ years of experience in application development including Python, SQL, Scala, or Java * 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) * 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 2+ year experience working on real-time data and streaming applications * 2+ years of experience with NoSQL implementation (Mongo, Cassandra) * 2+ years of data warehousing experience (Redshift or Snowflake) * 3+ years of experience with UNIX/Linux including basic commands and shell scripting * 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $144,200 - $164,600 for Senior Data Engineer McLean, VA: $158,600 - $181,000 for Senior Data Engineer Richmond, VA: $144,200 - $164,600 for Senior Data Engineer Riverwoods, IL: $144,200 - $164,600 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Machine Learning Engineer- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelors Degree * At least 7 years of experience in Software Engineering * At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 6+ year of experience deploying machine learning models * Ability to understand deploying Machine Learning models in production environments at scale * Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,___inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems * Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor’s Degree * At least 4 years of experience in application development (Internship experience does not apply) * At least 2 years of experience in big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * 7+ years of experience in application development including Python, SQL, Scala, or Java * 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) * 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming applications * 4+ years of experience with NoSQL implementation (Mongo, Cassandra) * 4+ years of data warehousing experience (Redshift or Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting * 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $175,800 - $200,700 for Lead Data Engineer McLean, VA: $193,400 - $220,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Riverwoods, IL: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer (Big Data and Machine Learning) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Data Engineering Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,___inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems * Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Perform unit tests and conduct reviews with other team members to make sure our code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience in application development (Internship experience does not apply) * At least 2 years of experience in big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master's Degree * 9+ years of experience in application development including Spark, Python, Java, Databricks, Snowflake, Data Lakehouse or Iceberg * 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) * 5+ years experience with Distributed data/computing tools (Glue, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming applications * 4+ years of experience with UNIX/Linux including basic commands and shell scripting * 2+ years of experience with Agile engineering practices * 6+ years of people management experience Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Sr. Mgr, Data Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Software Engineer, DevOps Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive___ and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: * Bachelor’s degree * At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) * At least 4 years of Unix or Linux system administration experience Preferred Qualifications: * 7+ years of DevOps Engineering experience * 4+ years of experience with coding and scripting (Python, SQL, Java, Scala, JavaScript, Golang, Bash, Perl or Ruby) * 4+ years of experience with technologies Apache Mesos, Marathon, or Apache Spark * 4+ years of experience using build and deployment tools (Jenkins, Docker) * 2+ years of experience with distributed database systems (Cassandra, ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of experience working within Agile Development Practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Lead Software Engineer McLean, VA: $197,300 - $225,100 for Lead Software Engineer New York, NY: $215,200 - $245,600 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Manager, Ontology and Data Modeling - Commercial Bank The role of the Manager of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy. The Manager of Ontology and Data Modeling, as part of the Commercial Bank, will be responsible for working collaboratively across Capital One Lines of Business and Functions to develop domain ontologies in support of enterprise initiatives. The Manager of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services. The Manager of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts. Primary Responsibilities: * Guide the definition, design, and deployment of ontology-based data products in support of Capital One’s priorities and business objectives * Define clear and actionable problem statements to help teams deliver results while displaying a comprehensive understanding of ontologies and optimized data models * Leverage customer insights to influence priorities and roadmap development while advocating for and driving alignment between stakeholders in the development of acceptance criteria * Own and prioritize the near-term Ontology and Data Modeling roadmap to deliver on business outcomes, quickly identifying points of leverage in complex problems or systems, and utilizing data effectively to define success metrics and measurable outcomes * Utilize balanced judgment in decisions about risks of both actions taken and not taken while innovating on ways to iterate faster in a well-managed way for the immediate team * Understand and leverage technology and end-state architecture vision in partnership with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services, driving comprehensive design decisions out of white space technical problems * Deliver value by creating reusable, extensible and resilient capabilities and proactively identify opportunities when key metrics are not performing * Develop and communicate a 6-month vision to senior stakeholders and partner teams with accurate details and transparency on risks and impediments, and proactively build relationships with those outside of your immediate team resulting in horizontal influence * Contribute to team culture and recruiting by leading activities to attract and retain top talent and mentoring and developing junior ontology and data modeling associates * Manage teams that develop, implement and govern ontologies and optimized data models in consultation with stakeholder * Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies * Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business. * Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning * Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, and SKOS * Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One Role-Based Competencies: * Able to develop and implement ontologies and data models in consultation with stakeholders in teams dedicated to data management, search, product management, machine learning, and other enterprise initiatives * Able to communicate and advocate the value of using industry standards, applications, and open source data sets * Able to analyze and implement knowledge organization strategies using tools capable of machine learning and semantic enrichment * Able to maintain awareness of competitor and industry developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling, and metadata * Able to test/troubleshoot new or updated models and systems * Able to create processes and tools to establish, maintain, and update ontology, taxonomy, and other data models * Able to maintain and update data and models according to industry best practice * Able to support knowledge organization workshops in order to further enhance enterprise ontology, taxonomy, or data models * Able to assist in the implementation and support of data standardization and ontology governance strategies and processes * Able to develop a strong understanding of the Capital One business, processes, customers, users, and business needs to better solve Data Management problems * Able to see and communicate the big picture in an inspiring way. Determines opportunity and risks through comprehensive analysis of current and future trends * Has very strong research skills * Able to communicate and present ideas clearly and with confidence. Delivers presentations and status updates suited to the characteristics and needs of the audience * Able to foster strong relationships with business partners, supporting semantic projects across departments. Develops a supportive and helpful culture for assistance in projects and daily support interactions * Continually focused on improving the responsiveness and quality of the solutions delivered * Exhibits high energy, passion, self-motivation, and creativity for problem solving Basic Qualifications: * Bachelor’s degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * At least 4 years’ experience in a metadata field of work (ontology, taxonomy, semantics or computational linguistics) * At least 4 years’ experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS) * At least 4 years’ experience or training in ontology and linked data tools (Protégé, TopQuadrant, GraphWise, Stardog, AnzoGraph, Neptune, or Data.World) * At least 4 years’ experience or training with SQL and SPARQL Preferred Qualifications: * Master’s degree or PhD in information science, computer science, engineering, library science, ontology, semantics or computational linguistics * Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data * Familiarity with graph databases and technologies * Familiarity with Python or R * Familiarity with JSON, OpenAPI/YAML, AVRO * Familiarity with Agile principles, processes, and methodologies * Familiarity with Amazon Web Services * Detail-oriented and an ability to problem-solve independently * Strong reading and writing skills * Strong project management experience * Excellent communication skills and the ability to present ideas clearly and with confidence * Ability to work individually and with a team to meet deadlines At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Charlotte, NC: $149,800 - $171,000 for Manager, Ontology and Data Modeling Chicago, IL: $149,800 - $171,000 for Manager, Ontology and Data Modeling McLean, VA: $164,800 - $188,100 for Manager, Ontology and Data Modeling Richmond, VA: $149,800 - $171,000 for Manager, Ontology and Data Modeling Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Data Engineer - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 5 years of experience in data architecture Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * 1+ year of experience deploying machine learning models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Data Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Data Engineer - Card Data Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank’s core profitability and security, this is your team. This leader must have the ability to attract and recruit the industry’s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. Our Distinguished Engineers Are: * Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices * Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community * Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelor’s Degree * At least 7 years of experience in data engineering * At least 3 years of experience in data architecture * At least 2 years of experience building applications in AWS Preferred Qualifications: * Masters’ Degree * 9+ years of experience in data engineering * 3+ years of data modeling experience * 2+ years of experience with ontology standards for defining a domain * 2+ years of experience using Python, SQL or Scala * 1+ year of experience deploying machine learning models * 3+ years of experience implementing big data processing solutions on AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $244,700 - $279,200 for Distinguished Data Engineer McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer New York, NY: $293,600 - $335,100 for Distinguished Data Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Software Engineer, DevOps (Global Payment Network) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive___ and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: * Bachelor’s degree * At least 4 years of experience in DevOps Engineering (Internship experience does not apply) * At least 3 years of experience in Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) * At least 4 years of Unix or Linux system administration experience Preferred Qualifications: * 7+ years of DevOps Engineering experience * 4+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) * 4+ years of experience with technologies Apache Mesos, Marathon, or Apache Spark * 4+ years of experience using build and deployment tools (Jenkins, Docker) * 2+ years of experience with distributed database systems (Cassandra, ElasticSearch) * 2+ years of experience with deploying clustered web services * 2+ years of experience working within Agile Development Practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Lead Software Engineer McLean, VA: $197,300 - $225,100 for Lead Software Engineer Riverwoods, IL: $179,400 - $204,700 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director Software Engineering - Global Payments Network As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Spark, Artifactory, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few. Team Description The Global Payments Network Digital Payments Technology team is responsible for providing card tokenization and Digital Wallets support for cardholders. This includes device wallets like as ApplePay and Google Pay, along with Stored Payments Tokens for online merchants and token aggregators. The team is responsible for building and managing software to support tokenization and transaction security to enable innovative payment methods with increased security for cardholders. You will: * Lead, manage and grow multiple teams of product focused software engineers * Mentor and guide the professional and technical development of engineers on your team. * Work with product managers to understand desired application capabilities and testing scenarios * Continuously improve software engineering practices * Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies * Lead the craftsmanship, availability, resilience, and scalability of your solutions * Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community * Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity * Work across to improve the velocity of your and other teams * Lead efforts to deploy new and existing applications into AWS environments * Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications: * Bachelor’s Degree * At least 7 years’ experience in software development * At least 5 years’ experience in people management Preferred Qualifications: * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * 10+ years’ of experience in software development * 5+ years’ of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $239,900 - $273,800 for Director, Software Engineering McLean, VA: $263,900 - $301,200 for Director, Software Engineering Riverwoods, IL: $239,900 - $273,800 for Director, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Do you want to join a team where the mission is meaningful, the challenges are complex, and you can directly see the results of your hard work? Lundbeck is a global biopharmaceutical company focusing exclusively on brain health. With more than 70 years of experience in neuroscience, we are committed to improving the lives of people with neurological and psychiatric diseases. Lundbeck employees are inspired and driven by our purpose to advance brain health and transform lives. Join us on our journey of growth! Remote Opportunity - Open to candidates anywhere in the greater United States SUMMARY: We are seeking an experienced and innovative Data Science Modeler to join our Advanced Analytics team at Lundbeck. In this role, you will support the measurement and analysis of marketing programs by leveraging advanced analytics and machine learning techniques to drive insights while driving innovation in AI. You will collaborate with cross-functional teams to develop advanced predictive models, enhance reporting capabilities, and contribute to the strategic direction of our marketing initiatives. ESSENTIAL FUNCTIONS: * Design, implement, and validate predictive models to assess the effectiveness of marketing programs and campaigns. * Hands on building machine learning models (classification and regression) for customer segmentation and targeting. * Analyze large datasets to identify trends, patterns, and insights that inform marketing strategies and decision-making. * Develop and deploy machine learning algorithms to optimize marketing efforts and enhance customer targeting. * Implement comprehensive reporting and visualization tools to communicate findings and recommendations effectively to senior leadership and stakeholders. * Work closely with marketing, analytics, IT, and agency partners teams to ensure data integrity, accessibility, and alignment with business objectives. * Stay up-to-date with industry trends and emerging technologies in AI and machine learning, promoting a culture of continuous improvement and innovation within the organization. * Provides technical expertise across the team * Supervise vendor resource on day to day tasks * Ensure thorough documentation of methodologies, processes, and model performance to ensure reproducibility and knowledge sharing. REQUIRED EDUCATION, EXPERIENCE, AND SKILLS: * Accredited Bachelor’s degree * 5+ years of experience in data science, statistics, analytics, or a related field, with a focus on marketing analytics. * Proven experience in leading analytic projects and hands on developing predictive models and machine learning algorithms, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), customer segmentation and lead scoring. * Experience in vendor management working with multiple vendors and overseeing data collection processes. * Proficiency in programming languages such as Python, R, or SQL. * Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). * Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software. * Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights. * Excellent verbal and written communication skills, with the ability to present findings to both technical and non-technical audiences. * Demonstrated ability to lead and motivate teams, manage projects, and drive strategic initiatives. * Ability to work collaboratively in a fast-paced, dynamic environment. PREFFERED EDUCATION, EXPERIENCE, AND SKILLS: • Strong Preference to be based in Deerfield, IL Office, • Accredited bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. or accredited master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field., • Cross-industry experience, with a demonstrated ability to apply analytics techniques in diverse contexts (e.g., retail, finance, healthcare, technology). TRAVEL: * Willingness/Ability to travel up to 25% domestically. International travel may be required • If based remotely, additional travel may be required to Deerfield, IL, to meet the needs of the role and the business The range displayed is a national range, and if selected for this role, may vary based on various factors such as the candidate’s geographical location, qualifications, skills, competencies, and proficiency for the role. Salary Pay Range: $150,000 - $175,000 and eligibility for a 15% bonus target based on company and individual performance. Benefits for this position include flexible paid time off (PTO), health benefits to include Medical, Dental and Vision, and company match 401k. Additional benefits information can be found on our ___ Applications accepted on an ongoing basis. #LI-BK1 Why Lundbeck Lundbeck offers a robust and comprehensive benefits package to help employees live well and protect their health, family, and everyday life. Information regarding our benefit offering can be found on the ___. Lundbeck is committed to working with and providing reasonable accommodations to disabled veterans and other individuals with disabilities during our employment application process. If, because of a disability, you need a reasonable accommodation for any part of the application process, please visit the ___. Lundbeck is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, and any other characteristic protected by law, rule, or regulation. Lundbeck participates in ___.

Aramco energizes the world economy. \n\n Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. \n\n With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. \n\n Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. \n\n We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. \n\n\n\nOverview\n\n\n We are seeking an Oil Reservoir Management Engineer to join Petroleum Engineering/Oil Reservoir Management Department. \n \n Petroleum Engineering/Oil Reservoir Management Department is responsible for developing and managing world-class fields, reservoirs, and reserves, leveraging cutting-edge technology and innovation at our state-of-the-art Exploration and Petroleum Engineering Center in Dhahran, Saudi Arabia. Our organization also conducts pioneering research, introduces new technologies, and provides engineering services as part of our customized reservoir management practices. \n \n As an Oil Reservoir Management Engineer your primary role is to serve as an expert in Oil Reservoir Management, providing guidance and expert advice to the design, implementation, and optimization of best-in-class reservoir management programs for the world’s largest onshore and offshore oil fields. \n \n\n\n\n\nKey Responsibilities\n\n\n As a successful candidate you will be required to perform the following: \n\n • Provide expert guidance and oversight on best-in-class reservoir management principles, practices, and cutting-edge technologies across all Saudi Aramco hydrocarbon assets.\n, • Formulate reservoir development, data acquisition, strategic surveillance, and monitoring of masterplans to optimize asset development and depletion strategies. This involves utilizing established reservoir management standards and guidelines to maximize Net Present Value (NPV) and hydrocarbon recovery.\n, • Lead, design and practice in integrated field reviews and field development plans. \n, • Prepare critical reservoir engineering inputs for drilling and workover proposals and programs, recommending innovative completion techniques for complex well configurations, including: horizontal and multilateral wells.\n, • Lead and participate in reservoir engineering studies focused on optimizing ultimate recovery through reservoir stimulation modeling of various Improved Oil Recovery (IOR) processes.\n, • Engage in professional development activities, such as: participating in technical societies and groups, sharing expertise, and mentoring young engineers to foster growth and excellence within the organization.\n\n\n\n\n\nMinimum Requirements\n\n\n, • As a successful candidate you will hold a:\n, • Bachelor's degree in Petroleum Engineering or a related Engineering discipline from an accredited university. Advanced degree is a plus.\n, • Minimum of 10 years of experience including at least 7 years specializing in oil reservoir management.\n, • Training history of appropriate specialized courses and seminars is expected. \n, • Knowledge of open-hole and cased-hole logs, geological modeling, simulation, completion and production procedures and technologies.\n, • \nTechnical knowledge and expertise are required in formation evaluation, geological modeling, simulation, reservoir appraisal and field development planning, completion, production/injection procedures-strategy-technologies, water flooding, reservoir surveillance, SCAL, PVT, geochemical analysis, and fluid's compatibility. \n\n, • Expertise in Artificial Intelligence, Machine Learning, and data analytics are preferred.\n \n

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. Engineering Services are seeking a Solution Architect with hands-on expertise in data engineering and solution architecture. This position bridges the gap between high-level business requirements and technical execution, defining the architecture of scalable data pipelines, robust storage solutions, and high-performance analytics environments. The responsibilities include prototyping complex integrations and ensuring that data infrastructure is robust, secure, resilient, and optimized for scale-up. As a practitioner in this role, the Solution Architect will be responsible for translating business needs into technical solutions, leveraging your expertise to drive the design and implementation of data-driven systems. Architectural Design: Lead the design of end-to-end solution and data architectures, including ingestion, processing, storage, and visualization layers. Infrastructure Strategy: Define cloud-native or hybrid infrastructure strategies that support high-volume data processing and real-time analytics. Hands-on Development: Develop Proof of Concepts (PoCs) and core framework components for data pipelines (e.g. ETL) to ensure architectural feasibility. Database Governance: Evaluate and select appropriate data stores (Relational, NoSQL, Graph, Vector) based on specific use-case requirements like latency, throughput, and consistency. Performance Optimization: Audit existing data systems to identify bottlenecks and implement strategies for cost-optimization and query performance tuning. Technical Leadership: Provide technical leadership in ensuring best practices in various areas including CI/CD and documentation. Solution Architecture: Develop and maintain a deep understanding of the corporate’s technology landscape, including applications, data flows, and infrastructure, to identify opportunities for improvement and optimization. Legacy Modernization: Experience migrating on-premise infrastructure to cloud-native architectures. Containerization: Experience with Docker and Kubernetes for deploying data services. Cloud Infrastructure: Expert-level experience with at least one major cloud provider (AWS, Azure, or GCP) and their native data services. Data Processing: Strong proficiency in batch and stream processing. Programming: Advanced coding skills in Python, or Java, along with expert-level SQL. Database Systems: Extensive experience managing and querying various systems: Relational: PostgreSQL, MySQL, SQL Server, NoSQL/NewSQL: MongoDB, Cassandra, Warehousing/Lakehouses: Snowflake, Databricks, BigQuery. Enterprise Architecture: Knowledge of enterprise architecture principles, including business architecture, information architecture, and technology architecture. Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or a related field. Minimum of 15 years in IT, with at least 4 years in a Solution Architect or Lead Data Engineer role. Proven track record of delivering at least two large-scale enterprise data platform migrations or greenfield builds. Preferred qualifications and experience: The certifications are TOGAF, ITIL, or similar. AI/ML Integration experience architecting Feature Stores and MLOps pipelines to support machine learning workflows. Governance Tools familiarity with data cataloging and governance tools. Work Location: Within Saudi Arabia – To be specified in Job offer Work Schedule: Full Time - To be specified in Job offer Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. Overview We are seeking a Lead Corporate Data Officer to join our Corporate Data Office Division (CDOD) within our Cybersecurity Organization. CDOD focus on AI governance, including the design and implementation of robust AI governance frameworks that ensure the ethical, transparent, and compliant use of AI and machine learning technologies. Your primary role is to oversee the establishment and governance of key areas within the Corporate Data Strategy, approving the defined key performance indicators of data management and compliance. In addition, you will manage an enterprise-wide data governance framework. Key Responsibilities As the successful candidate you will be required to perform the following: • Create and enforce policies for responsible AI development, deployment, and monitoring, ensuring alignment with global regulatory standards., • Design and implement comprehensive AI governance frameworks to ensure the ethical, transparent, and compliant use of AI/ML technologies., • Identify and appropriately manage AI risks through the organization’s risk governance process., • Support the AI governance process, including management of the AI inventory, governance meetings, and management reporting., • Align AI governance strategies with organizational objectives, regulatory requirements, and industry standards., • Conduct AI risk assessments and develop risk mitigation strategies that align with the organization’s risk appetite., • Monitor emerging regulatory trends and ensure proactive adaptation of governance policies to maintain compliance with evolving legal and ethical standards., • Develop and deliver awareness programs to educate stakeholders on AI governance principles, policies, and compliance requirements., • Provide insights and recommendations on governance-related challenges and opportunities., • Oversee periodic assessments of AI systems to validate adherence to governance standards and regulatory obligations., • Conduct impact assessments of AI systems, including the identification of potential biases, discrimination, and negative impacts on Saudi Aramco, individuals and society., • Establish AI evaluation and processes., • Research AI safety, fairness, bias, transparency, and explain ability. Minimum requirements • You must hold a Bachelor degree in Computer Science, Data Science, Engineering, or a related field. A master's degree in Machine Learning, Data Science, or a related field is preferred., • You should have a minimum of 15 years experience in application development, system administration, and data management, including 10 years of experience of implementing AI , computer vision, NLP, and LLM solutions., • 5 years of experience designing and implementing AI governance and risk management programs is also required., • You must be able to demonstrate strong knowledge in responsible AI and AI evaluations, bias detection, data centric, Agentic AI, AIOps , data privacy by design, LLM red teaming, methodologies for explain ability and interpretability and cloud computing environments. Work Location & Work Schedule Work Location: Within Saudi Arabia – To be specified in Job offer Work Schedule: Full Time - To be specified in Job offer Job Posting Start Date: 8/28/2025 End Date: 8/28/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

You are a mid-level data scientist with 3+ years of experience in Python. Knowledge of data visualization tools (Matplotlib, Seaborn). You have expertise in machine learning and data analysis.

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. We are seeking Computational Research Expert with a strong background in Artificial Intelligence to join our Research & Development Center (R&DC). R&DC conducts strategic research, development and demonstration programs in support of Aramco’s drive for innovation. Your primary role is to design, develop, and deploy advance AI and ML solutions to address complex business, scientific, and engineering challenges. As the successful candidate you will be required to perform the following: • Design, develop, and validate advanced AI/ML models, • Engage with stakeholders and domain experts to understand challenges, formulate AI-ready problem statements, and identify impactful solutions., • Lead end-to-end AI projects, from data acquisition and feature engineering to deployment and performance monitoring., • Integrate AI solutions with existing systems, digital twins, and operational workflows., • Stay current with AI research and translate emerging methods into practical applications., • Collaborate with cross-functional teams and provide technical guidance and mentorship., • Contribute to technical documentation, patents, and publications., • As a successful candidate you will hold a Bachelor degree AI, Computer Science, Data Science, Engineering, Mathematics, or related fields. A PhD is also required., • You should have a minimum of 5 years of experience., • You will have a strong foundation in machine learning, statistics, and optimization., • You will also have a proven track record of conducting advanced technical projects with an ability to connect basic science research with industrial applications. Work schedule: Full Time - To be specified in Job offer Job posting start date: 12/18/2025 Job posting end date: 12/31/2026 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a Senior Site Reliability Engineer (SRE) at TAG – The Aspen Group, you will be responsible for ensuring the reliability, performance, and scalability of our core systems. This role involves proactively building and managing, monitoring solutions, lead incident response, and continuously optimizing system performance to exceed business objectives. We are actively integrating AI and machine learning into our operational workflows, and you will be on the front lines, leveraging intelligent automation and machine learning to build a proactive resilient infrastructure. This is an opportunity to go beyond SRE by applying cutting-edge technology to solve complex reliability challenges. Responsibilities: Intelligent Site Reliability Engineering: • Design and build highly scalable and resilient systems to support our applications and services, incorporating predictive analytics to anticipate reliability risks., • Develop and manage Service Level Objectives (SLOs) and Service Level Indicators (SLIs) using machine learning anomaly detection to ensure systems meet reliability targets., • Drive improvements in system reliability, availability, and performance through proactive measures, automation, and intelligent failure prediction. Advanced Observability: • Implement and manage comprehensive monitoring and alerting solutions, integrating with intelligent observability platforms that reduce alert noise and correlate events., • Develop and maintain dashboards and reporting tools that provide data-driven insights for actionable troubleshooting recommendations and performance optimization., • Evaluate and integrate advanced monitoring tools and operational intelligence platforms to enhance observability and root cause identification. Proactive Incident Management: • Lead and participate in incident response efforts, using intelligent log analysis and automated event correlation to speed up troubleshooting and root cause identification., • Develop and maintain incident management processes incorporating automated decision support systems to improve response times and minimize service disruptions., • Conduct post-incident reviews, using automated pattern recognition and trend analysis to identify systemic issues and implement preventive measures. Performance and Capacity Optimization: • Analyze performance metrics and logs, supported by advanced observability tools, to detect bottlenecks and inefficiencies., • Collaborate with development teams to implement automated profiling and optimization recommendations for code and infrastructure improvements., • Perform capacity planning using machine learning forecasting models to ensure systems can handle current and future loads. Automation and Process Improvement: • Develop and implement automation solutions, including intelligent runbook automation, self-healing systems, and automated incident triage., • Identify and drive process improvements by applying machine learning to operational data for continuous optimization., • Maintain documentation that includes automation and machine learning guidelines for monitoring, incident management, and SRE best practices. Collaboration and Communication: • Work closely with engineering, operations, and product teams to align reliability and monitoring goals, including automation adoption strategies., • Communicate effectively with stakeholders, providing regular updates on system health, incidents, performance improvements, and data-driven insights., • Foster a culture of collaboration, knowledge sharing, and automation best practices within the team and across the organization. Requirements: • Bachelor's degree in computer science or a related technical field., • At least 5 years of experience in Site Reliability Engineering or a similar role., • Strong proficiency in at least one programming language such as Python, Go, or C#, • Demonstrated experience applying machine learning and automation to operational workflows such as monitoring, alerting and incident response., • Expertise with infrastructure as code tools such as Terraform, • Proven experience working and monitoring container environments such as Cloud Run and Kubernetes., • Hands-on experience using and working within an Azure, AWS, and GCP environment (GCP preferred), • Strong understanding of networking, distributed systems, and cloud infrastructure., • Familiarity with intelligent monitoring platforms and operational analytics tools such as Prometheus, Grafana, OpenSearch, Sentry, Google Cloud Observability, • Excellent problem-solving skills and the ability to work independently and as part of a team., • Experience with incident management, root cause analysis, and automated operational workflows. Annual pay range: $129,000-$160,000 A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match

About Phase3D We are developing computer vision technology which performs in-situ monitoring for industrial 3D printing (additive manufacturing, AM). This technology dramatically changes the metal AM industry by providing immediate component certification and early cancellation of defective builds. Our vision is to provide the additive manufacturing industry with a trusted method to validate part quality in real time. The Phase3D headquarters is in Chicago, located 5 miles from the Chicago Loop. We work closely with federal scientists and engineers to develop machine vision technology for additive manufacturing (camera and software based). We have established research partnerships with multiple national laboratories, US departments, NASA, and research institutions. About Phase3D Culture Phase3D is currently a small team, comprised of independent thinkers, working to solve challenges in software development, data analysis, mechatronics, electrical engineering, and computer engineering. We are a cross-disciplined group and are excited to be pioneers in the rapidly evolving field of artificial intelligence and machine learning for 3D printing. This is a fast-paced, startup work environment, but with the resources and facilities of a US national Laboratory. This means a lot of variability of workflow and responsibilities, with an emphasis on creative problem solving. You will have the chance to be a part of a team making headlines in the 3D printing world. About the Role: We are looking for a candidate with a well-rounded set of skills to support Phase3D’s product deployment, customer sales, and product development. This role will incorporate a mix of fast paced engineering, sales, and operations work, including process development, data analysis, and travel to 3D printing sites such as NASA, the US Air Force, DOE national labs. This role will manage strategic customers and work on projects to mature the readiness level of Phase3D’s products. About the Role We are looking for a well-rounded, hands-on candidate to support the production and deployment of Phase3D’s in-situ monitoring systems for additive manufacturing. This role combines production, field service, and operations work. Perfect for someone who enjoys building hardware, traveling to customer sites, and seeing the direct impact of their work in the field. The Engineering Technician will assemble, pack, ship, test, and help install Phase3D products. You will be responsible for the physical build and validation of electrical assemblies, assisting with internal product testing, managing inventory, and documenting the processes that keep production and installations efficient and repeatable. This position provides the opportunity to work side-by-side with engineers, contribute directly to the company’s growth, and represent Phase3D during customer installations and training sessions across the country. Responsibilities Production and Assembly (30%) · Build, pack, ship, and test production electrical assemblies · Cut, strip, solder, crimp, and assemble wiring harnesses and components · Use standard hand and power tools to complete builds safely and efficiently · Perform internal testing of systems and subassemblies before shipment · Maintain production quality through documentation and process feedback Field Service and Installation (50% Enforced) · Travel to customer sites for system installation, setup, and training · Perform hands-on troubleshooting, calibration, and integration with customer hardware · Communicate directly with customers to ensure smooth deployment and operation · Support the engineering team by identifying field issues and recommending improvements Operations Support (20%) · Assist in inventory management, including part tracking and material readiness · Create and update work instructions, installation guides, and process documentation · Collaborate cross-functionally with engineering, manufacturing, and quality teams · Support lean and continuous improvement initiatives within operations Minimum Education / Certification Requirements · Must be U.S. Citizen · High school diploma or equivalent required; technical certificate or associate degree preferred · Engineering mindset, willing to learn new disciplines · Ability to read wiring diagrams, schematics, and technical documentation · Strong troubleshooting and logical problem-solving skills · Excellent communication and organizational abilities · Willingness and ability to travel domestically up to 50% of the time Desired Job Requirements · 2–4 years of experience in production, electrical assembly, or field service roles · Experience assembling or testing electromechanical systems · Familiarity with manufacturing environments and basic inventory control · Exposure to lean production principles or continuous improvement initiatives · Ability to work independently while coordinating with remote teams · Comfortable with variability in tasks and changing project priorities · Enthusiastic about working in a fast-paced startup environment with a small, motivated team Work Location Hybrid and flexible options are available, but the role requires presence in Chicago, IL for production work and team collaboration. Travel to customer sites across the U.S. will be required. Benefits · Competitive Salary: $60,000 – $80,000 depending on experience · PTO program · Mentorship and professional growth opportunities · Healthcare coverage premium First Six Months: Within the first six months, the candidate will be onboarded, become AM metals customer segment literate, and exercise mastery over the commercial value-add and technical specifications of the products. These goals can be accomplished via 3 main stages. Month 1 · Understand Phase3D core technologies, technology roadmap, and business strategy o Complete one calibration of the Fringe system at a development partner’s laboratory o Install updated metal fixtures in at least 1 partner site o Supervise two biweekly tests, supporting developers in troubleshooting tasks · Socialize with the cross-functional team, understanding each person’s area of expertise and skills spanning the hardware, software, and product installation activities o Take the initiative to schedule a 15 minute meeting with each member of the Phase3D team, including our digital fringe projection expert and our company coach · Understand how Phase3D monitoring provides value to research, additive equipment manufacturers, and contract manufacturers o Schedule a meeting with Sales to receive a full presentation as if you were a customer · Get hands on with the technology, learn how to install and calibrate the system, learn how heightmap readings predict and identify build defects o Create a report for a chosen build, identifying interesting defect areas and reporting on them. Months 2-3 · Taking initiative to fill gaps in operations that you identify o Lead all biweekly test coordination, successfully run 4 biweekly tests and write reports on the results for the slack channel · Planning trips and leading system installations at customer facilities o Lead the trip planning process for at least 1 installation · Build sensor packages and assemble systems with minimal supervision o Make 4 trigger cables and maintain stock of 4 trigger cables o Build and maintain stock of 4 Fringe kits · Provide customer feedback to the team for continuous product improvement. o Make a report on identified areas of weakness in our team/workflow, with suggested improvements. Take charge on implementation Months 3-6 · Contribute to Phase3D’ growth through consistently delivering outstanding products and innovations. o Take charge of 3 strategic initiatives within the company, either from the existing list or create your own based on identified gaps in operations.

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch! Launch is actively seeking qualified, energetic engineers with passion for building solutions leveraging new and emerging technologies related to AI. This is a software engineering role specializing in applications with use cases powered by AI solutions, especially Generative AI, such as LLM integration, vector embeddings, real-time inference, and semi-automated, human-in-the-loop workflows. This role offers an exciting opportunity to be at the forefront of AI technology, working on diverse projects that drive real-world impact. If you’re passionate about AI and have the technical expertise to back it up, this role may be perfect for you! Responsibilities Include: • Write high-quality, maintainable code in languages such as Python, JavaScript, C#, or others relevant to AI development, • Work closely with and in cross-functional teams including software engineers, project managers, designers, QA, data engineers, and data scientists, • Integrate with a variety of different APIs, services, and technologies to bring pre-trained models and other technologies to bear, such as cloud-based vector databases, • Develop APIs and interfaces to enable easy interaction between AI models and client applications, • Fine-tune and/or customize integration with pre-trained models to meet unique client needs, • Handle data preprocessing, cleaning, and augmentation to enhance model performance, • Implement strategies for managing and securing sensitive client data, • Monitor and optimize the performance of AI model integrations to optimize efficiency and accuracy, • Provide technical guidance and support to clients and internal stakeholders, • Stay up-to-date with the latest advancements in NLP and machine learning Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field (strongly preferred), • Prior IT digital consulting experience is highly preferred, • Proven experience in software development, with a focus on AI and machine learning, • Hands-on experience with integrating language models into applications and platforms, • Proficiency in programming languages such as Python, JavaScript, C#, or similar, • Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers), • Experience with Generative AI tooling (e.g., LangChain, Semantic Kernel), • Knowledge of API development and integration, • Strong understanding of NLP concepts and techniques, including language modeling, text generation, and sentiment analysis, • Experience with large-scale language models (e.g., GPT, BERT) and their practical applications, • Excellent analytical and problem-solving skills with a keen ability to troubleshoot and resolve technical issues, • Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders, • Proven ability to work effectively in a team environment and manage client relationships, • Experience in project management and ability to handle multiple tasks simultaneously, • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker) a plus, • Familiarity with agile development methodologies and DevOps practices, • Innovative and curious, with a passion for emerging technologies and continuous learning, • Detail-oriented and committed to delivering high-quality results Compensation & Benefits: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $155,000 - $175,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You’ll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: • Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes., • Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP., • Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development., • Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation., • Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting., • Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.)., • Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices., • Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing., • Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: • 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments., • Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face., • Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures., • Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems., • Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases., • Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale., • Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry., • Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment., • Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: • Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies., • Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD)., • Certifications related to Epic, FHIR, or other health IT platforms are a plus., • Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation., • Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Job Description Are you looking for a career instead of a job? Join Our Team and Build Your Future with Semblex! Are you ready to start a rewarding career in manufacturing? Semblex Corporation is looking for enthusiastic and dedicated individuals to join us as Manufacturing Apprentices. If you’re passionate about learning, eager to develop new skills, and excited about working in a dynamic environment, we’d love to meet you! Overview As a Semblex Apprentice, you will join and complete the Semblex Apprenticeship Program. This program is designed for unskilled yet highly motivated and hardworking individuals, who desire to learn a trade and establish a career. Semblex Apprentices will begin their journey completing “Semblex University” where classroom and hands on skills are taught by dedicated instructors and mentors. As an Apprentice’s skills grow, so will the challenges, responsibilities, and compensation. At the completion of the Apprenticeship Program, the Apprentice will become a fully established skilled machine operator with equipment and production responsibilities, joining the Semblex family in our mission of providing cold formed products for the world’s leading manufacturers. What You’ll Do: • Learn the Ropes: Get hands-on experience with a variety of manufacturing equipment and processes., • Support the Team: Assist experienced professionals with machine setup, operation, and maintenance., • Mechanical Aptitude: You’re comfortable working with tools and machinery, can follow technical instructions, and enjoy hands-on problem solving. Whether it’s adjusting settings, identifying issues, or keeping equipment running smoothly, you’re confident around mechanical systems and eager to learn more., • High School Graduate: You have your diploma or equivalent and are ready to take the next step., • Second Shift: During the training period, you are required to work the first shift and demonstrate the ability to operate the machine independently. Once you have successfully completed this phase, you will transition to the second shift., • English: Must be proficient in reading, writing and speaking in English., • Reliable and Punctual: Consistent attendance and punctuality are crucial. We value team members who are dependable and committed to their role., • Eager Learner: You’re excited about the opportunity to gain new skills and grow your career., • Team Player: You work well with others and are ready to contribute to a positive team environment., • Comprehensive Training: Receive hands-on training and mentorship from industry experts., • Great Benefits: Enjoy competitive pay, health/ dental/ vision insurance, paid time off, and much more. If hired on for the second shift, this position will start on first shift hours (A.M. Hours) for the first few months of training, after the training period the candidate will be moved to second shift hours (P.M. Hours). #Manufacturing #Apprentice #Trainee #Success #Growing

We also have a modern computing environment based on best-in-class "big data" technologies and the freedom to explore new data sources and statistical and machine learning methodologies. You will design and write programs for data extraction, segmentation and statistical analysis on large population

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Huron AI practice is built to deliver tangible business value, not just technology for its own sake. We combine deep industry knowledge with practical, proven AI capabilities to accelerate your transformation. Our primary focus is on driving measurable outcomes, ensuring client investment in AI translates directly into a more efficient, insightful, and future-ready finance function. Our practice provides end-to-end services from AI Advisory to AI custom implementation to our +AI Solutions. At Huron, Senior Directors create a high-performance culture and environment inspiring the respect of our project teams and executive clients alike in their role as the accountable engagement leader. Our Senior Directors are responsible for architecting leading-edge solutions for our clients that meet and exceed their most complex business needs. Our Sr. Directors successfully generate and close new business opportunities, deliver industry presentations, and oversee project delivery. Our Applied AI Growth Leads seek to shape the industries we serve with new concepts and delivery models. They model and instill in others our Huron values as well as personal commitment and integrity. True excellence begins at the top with leaders dedicated to producing lasting, positive results for our clients. • Ability to develop and own Huron's AI Go-To-Market (GTM) strategy to drive revenue-generating AI offerings in partnership with Industry and Digital Capability Leads, • Lead AI offerings sales and product development, from ideation to launch, pricing strategy, build vs. buy vs. partner decisions, feature development and post-launch improvement, • Deep industry knowledge in Education and Research plus proven ability to tailor offerings, solutions and GTM plans based on industry and effectively communicate to Executive-level stakeholders, • Proven experience transforming business processes and deploying AI solutions in enterprise-grade production environments, • Proficient in program and financial management, project delivery, client and team leadership and relationship management, • Bachelor's Degree in a related field or equivalent work experience, • 15+ years of experience in a consulting or advisory role focused on enterprise-scale transformation; embedding AI into multi-disciplinary, integrative consulting teams, • 5+ years of experience in AI product management, with proven experience developing and delivering Go-To-Market (GTM) strategies for Machine Learning, Large Language Models (LLM), Generative AI and related AI applications, • Proven ability to collaborate across matrixed consulting firm structures, building strategic partnerships with Industry, Capability, and Account leaders to co-create AI-driven opportunities, shape client pursuits, and scale differentiated solutions, • Willingness to travel up to 50%

This job is responsible for enhancing the value of our technical platforms supporting the deployment and sustainability of financial crime data and detection models used by Global Financial Crimes at Bank of America. This includes owning the roadmap for the product, delivering well planned enhancements, and managing risks throughout the lifecycle. Key responsibilities include research, documenting requirements, data driven backlog refinement, prioritizing enhancements, planning, testing, monitoring, tracking issues, and defining objectives for reporting routines. Job expectations include ownership of key product decisions and deep subject matter expertise to manage complex products with large agile teams in delivery of scalable data warehouses, data lakes, and data products supporting Global Financial Crimes and Anti-Money Laundering work. Key Responsibilities: • Develops the technical platform strategy that ensures that functionality of data used for analytics, detection models, and investigations are deployed effectively, maintained robustly and continuously improved to meet evolving business and regulatory needs., • Defines product roadmap to maximize value, • Executes and delivers through agile methodology with clear backlog and prioritization methodology, • Gathers and documents actionable technical requirements for complex projects, • Analyzes data and synthesizes complex insights that identifies strategic improvements, • Communicates and influences key to gather buy-in on roadmap, risks, and technical decisions based on business needs and platform performance, • Serves as a subject matter expertise to guide key decisions and drive innovation within the area, • Owns and manages end-to-end risk for the product through preventive processes, detective monitoring, and effective remediation to reduce reoccurrence, • 7+ years of experience, • Strong analytical and problem-solving mindset, with an emphasis on sustainability, efficiency, and control robustness., • Ability to collaborate effectively with cross-functional teams across the Software/Service Delivery Lifecycle (SDLC) and in a Scalable Agile framework., • Experience working in data engineering and/or managing big data platforms (i.e., data warehouses, data lakes) including system integration work to move data between platforms and building data structures for expected consumption patterns., • Experience using query languages for extracting and analyzing data in a database, data warehouse, or data lake such as SQL or PySpark., • Experience with data warehouse or data lake concepts such as CRUD privileges (Create, Read, Update, Delete), indexing, partitioning, logical and materialized views, or optimization techniques., • Experience performing data quality assessments., • Experience with analytics infrastructure in a financial institution or technology environment., • Understanding of model lifecycle management, including deployment, validation, calibration, and performance monitoring., • Familiarity with advanced statistical and modeling techniques such as artificial intelligence and machine learning., • Understanding of risk management and model governance frameworks (e.g., SR 11-7, OCC 2011-12)., • Project management and strategic planning skills, with the ability to translate business goals into technical deliverables., • Critical Thinking, • Monitoring, Surveillance, and Testing, • Regulatory Compliance, • Risk Management, • Strategy Planning and Development, • Written Communications, • External Resource Management Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

Invoca is the industry leader and innovator in AI and machine learning-powered Conversation Intelligence. With over 300 employees, 2,000+ customers, and $100M in revenue, there are tremendous opportunities to continue growing the business. We are building a world-class SaaS company and have raised over $184M from leading venture capitalists, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures. This team promotes business growth and works closely with our marketing and customer success teams. The Strategic Accounts Director works with our largest clients to drive adoption of the Invoca product and expand our relationship through new products, cross-selling into new lines of business, and additional use cases. About 25% of the time, travel is required across the U.S. and Canada. This role reports to the VP of Account Management. • Prospect, identify, develop, negotiate, and ultimately drive new revenue by uncovering opportunities within these strategic accounts, • Develop and lead a pipeline within your targeted accounts to meet or exceed targets, • Lead strategies for our largest accounts with our Account Management team, Customer Success team, and other internal stakeholders, • Thoroughly understand enterprise customer needs and effectively communicate the Invoca value proposition across business lines, • Build and execute sales strategies, presentations, and software demonstrations for your accounts, • Provide forecast updates, • Understand the business landscape and be able to articulate differentiators, • Provide feedback to the marketing, SDR, and product teams, • Present effectively to external customers across all levels, from marketing staff to C-suite executives, • 7+ years of quota-carrying, B2B SaaS experience selling marketing tech and ad tech to complex organizations, • 2+ Years AI Experience, • Prior strategic account management experience with large enterprises, • Experience using modern SaaS sales tech stack, including Salesforce, LinkedIn, Salesloft, remote collaboration tools, and more, • Experience negotiating business terms with senior management and C-suite executives, including MSSA, Order Forms, SOWs, and other deal documentation., • Experience with marketing and customer acquisition processes, • Flexible Time Off We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed., • Paid Holidays Invoca provides 20 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family., • Health Benefits Our healthcare program includes medical, dental, and vision coverage, with multiple plan options to choose what works best for you and your family. Fertility assistance is also included., • Retirement Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%., • Stock Options All employees are invited to share in Invoca's success through stock options., • Mental Health Program Well-being support on a broad range of issues is available through our SpringHealth program., • Paid Family Leave Up to 12 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members., • Paid Medical Leave Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs., • InVacation As a thank-you to our long-term team members, we offer a bonus after 7 years of service., • Wellness Subsidy We provide a subsidy that can be applied toward gym memberships, fitness classes, and more. #LI-Remote

Practice Group: Operations, Energy, Industrials Location: Chicago, New York, Boston, Dallas, Houston, Washington D.C., Toronto, San Francisco Role: Operations Supply Chain Engagement Manager Practice Overview: Operations We work with clients across industries to help them manage and optimize their operations through improving cost efficiency, reducing supply chain risk, and optimizing footprint to become market leaders in their industry. We help them find strategic solutions to address the challenges they face, optimize their operating model to deliver the best service and increase the operational performance while minimizing operating cost. We focus on developing solutions which can be immediately implemented in collaboration with clients' teams and can rapidly bring visible and sustainable results. Supply Chain Capability Oliver Wyman develops innovative and impactful solutions to increase the performance and results of our clients supply chain processes and networks. We support our clients along their end-to-end supply chain, helping them have greater visibility and solve their most critical supply chain issues. From input material sourcing to production, distribution, and services, we partner with businesses across a broad range of industries and geographies to ensure their supply chain produces the best value and allows them to compete in the global marketplace. We typically start assignments with strategic questions, but our client relationships extend way beyond PowerPoint decks. Throughout our projects, we help our customers build their own capabilities and upskill their workforce, ensuring their people can collaborate independently, efficiently, and that their teams have sufficient agility to swiftly cope with disruption. To maximize value creation, we have developed a broad supply chain management toolkit, including artificial intelligence-driven tools, like our machine learning-based forecasting platform. We combine this with our deep project expertise and proven methods and approaches Our consulting roles offer excellent career and growth opportunities for talented, highly motivated professionals with relevant prior experience. As a professional member of our firm, your initial responsibilities will include: • Managing the execution of individual project workstreams. This typically includes developing hypotheses; managing data collection, model creation and analyses; guiding the team to conduct primary and secondary research; creatively tackling information limitations; and surfacing insights, • Synthesizing findings / insights from interviews, client working sessions, and research into written presentations; reviewing and discussing with clients and other stakeholders, • Supporting our Partner group in project delivery through accurate and high-quality execution, • Managing a team of 2-4 consultants on a daily basis to ensure each team member can effectively and efficiently deliver the tasks, • For Principal: managing multiple workstreams with a team of 6-8 consultants; also directly managing mid-senior level of clients (e.g., VP of operations or above), • Operations experience in discreet or continuous manufacturing industries, • Experience across the operations product development, planning, procurement, manufacturing, logistics, distribution depth in any of these desired, • Strong curiosity and continuous learning mentality, • Strong problem structuring and analytical skills, • Critical thinking and attention to detail, • Ability to work independently under ambiguity and lead others to navigate through ambiguity and uncertainty, • Experience in tools/systems for supply chain optimization and IT-enablement preferred, • Certifications - Strong preference on Certified Supply Chain Management Professional (CSCMP), American Production and Inventory Control Society (APICS / ISCM) OR Institute for Supply Management (ISM), • Experience with a top tier management consulting firm preferred, • 4-7+ years of consulting experience in operations in the industry and/or with consulting firms We're serious about making OW a rewarding, progressive, enjoyable and balanced place to work. • Self-starters and free thinkers who work well in a team, • Common aspiration, collective endeavor, shared success, • Straightforward, open, respectful interaction, • Opportunity without artificial barriers

Step into a role where you'll help shape the future of finance. As part of our Finance Transformation team, you'll collaborate with CFOs, finance leaders, and executive clients to solve their most complex challenges. Leveraging Deloitte's unmatched resources and deep industry insights, you'll deliver innovative, market-driven solutions that modernize finance functions, elevate performance, and drive meaningful organizational change. Join us to empower clients to become strategic business partners, manage risk, and unlock new levels of financial and operational excellence. Work You'll Do As a Digital Controllership Manager you'll leverage advanced accounting and finance expertise alongside cutting-edge financial applications and analytical tools to drive real business value, addressing complex and evolving business and regulatory needs. You'll collaborate with talented colleagues to support CFOs, Controllers, and Finance Executives in delivering service excellence and creative digital solutions to help clients: • Enhance operational efficiency and effectiveness, • Mitigate risks and optimize costs, • Identify core business challenges and manage day-to-day client and internal relationships., • Lead engagement planning and budgeting, including deliverable structuring, economic modeling, risk management, and timeline oversight., • Apply specialized accounting, regulatory, and cost accounting standards across a variety of industry domains., • Implement and optimize Tier 1 Digital Core technologies (e.g., SAP, Workday, Oracle) to address client needs., • Drive finance and accounting ERP module implementation and integration with complementary applications., • Design and develop accounting data models and rules engines for high-quality, accessible financial information., • Lead efforts to map and transition existing finance data models to new frameworks using proprietary Deloitte tools and methodologies., • Harness data analytics, quantitative modeling, and rules-based methodologies to uncover insights in financial, regulatory, forensic, and transactional contexts., • Define requirements, design prototypes, conduct testing, and facilitate training and support for digital finance solutions., • Deploy automation, cognitive, and machine learning solutions to enhance client business performance., • Contribute innovative ideas that challenge conventional approaches, embracing new digital technologies., • Support proposal development and market-facing pursuits. Qualifications: Required Skills • Bachelor's degree in a relevant field (Technology, Business, Math/Engineering), • 6+ years of direct technical or advisory experience in:, • Entity and enterprise accounting, • Technical accounting or controllership, • Financial planning & analysis, • Cost accounting, • Hands-on experience implementing, optimizing, or administrating financial and data applications/platforms, including but not limited to:, • SAP (ERP, Performance & Profitability Management, PCM, PaPM), • Oracle (ERP, PCM), • Workday, Workiva, BlackLine, Alteryx, • Microsoft SQL Server, Tableau, PowerBI, • Proven experience managing full lifecycle implementations:, • Requirements gathering, business process mapping, deployment, • Use of ERP or finance analytics solutions (e.g., Workiva, Blackline) or equivalent boundary platforms, • Proficiency in MS Office (Excel, Word, PowerPoint), • Experience in project requirements gathering, definition, and business process mapping, • Demonstrated direct people management experience, supervising and managing team operations, • Demonstrated success managing multiple priorities and deadlines in fast-paced, dynamic environments, • Excellent communication, presentation, and technical writing skills, • Strong client service orientation, • Exceptional interpersonal skills, including written and verbal communication, • Energetic, self-motivated, and results-driven attitude, • Ability to thrive in ambiguous or dynamic settings, • Effective decision-making and sound judgment, • Strong problem-solving and troubleshooting abilities, • Master's degree in Business, Information Systems, Accounting, or Finance, • Professional certification, such as CPA, CIA, CFA, CA, CCA, CMA, CAIA, or FRM (or active pursuit of one), • Knowledge of US GAAP, IFRS, SEC regulations, cost/profitability analysis, • Experience with advanced analytics or programming, including but not limited to:, • Big Data tools (Hadoop, Hive, Pig, Impala), • Reporting tools (Business Objects, Reporting Services), • Machine learning/cognitive (Python, Mahout, CognitiveScale), • Data visualization tools (QlikView, Tableau, PowerBI), • Experience in configuration and implementation of finance/accounting software applications, • Project management experience using formal methodologies, • Project experience in root cause analysis, financial modeling, value mapping, • Workstream leadership experience in finance functional areas (Record-to-Report, Order-to-Cash), • History of supporting training and talent development The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $144,200 - $265,600. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

2 days ago Be among the first 25 applicants This is a general track role, hiring for opportunities across all levels of seniority in our Sales Teams. Apply here if you believe you possess outstanding revenue generating experience from the Technology industry. Open source software is the new default in the enterprise, and Canonical is the new challenger to major enterprise software vendors. We deliver better open source from the data center to cloud and edge. Our Linux distribution Ubuntu is now the leading platform for public cloud compute, and the favorite platform for software engineers, data scientists and AI developers. Our mission is to accelerate the adoption and quality of open source globally, and our goal is to ship the most software on the planet by cores. A tidal wave of open source innovation is the next phase of the entire enterprise software industry, and we aim to be the most compelling way to ride that wave. Our customers include Global 500 enterprises and startups. We are expanding our product range from the base operating system - Ubuntu - to full enterprise solutions in infrastructure and applications. We can deliver software defined storage, private cloud solutions, container runtime environments, as well as databases, message queues, identity, observability, analytics, machine learning and web publishing capabilities. Customers love the idea that they can get security compliance and support for everything open source from a single company. Our goal is to have more solutions on tap than any other vendor, and we have built unique capabilities to make that possible across every cloud, every class of compute and every category of application. Canonical provides licensed enterprise software products, commercial support, managed services, consulting and training services to customers who are deploying Ubuntu or open source applications on the cloud, in their data center, or to the connected device and IoT ecosystem. We are just over 1,000 colleagues in 70+ countries and $250m in revenue, profitable, on a steady but relentless growth trajectory. We are almost entirely distributed, with leadership spread across many countries. We believe that talent is equally distributed across the globe, and we are excited to hire, develop, promote and ultimately trust a diverse group of exceptional leads to build the best, not biggest, enterprise software company. We hire carefully and deliberately; our selection process is long and requires substantial work from applicants. It will take successful applicants three to six months to secure an offer. This is not a place to apply if you are in a rush to find a position, it is a worthwhile place to apply if you are ambitious and long-term in your thinking about your career and the dynamics which move the world forward. If you see clearly the rise of open source, and you understand the drivers of enterprise procurement and technical decision making, then you will understand why Canonical has such a tremendous long term advantage. You will also understand, given the ferocity of competition and the challenges of competing in a market of giants, that we have to set a very high bar for hiring and performance. In order to be a world leading company we select for exceptional ability as well as character, and then provide an environment which promotes teamwork and celebrates diligence, collaboration and effectiveness. All of those are easy to say but hard to do - at Canonical we are willing to be uncomfortable in pursuit of that excellence. • Represent the company, its solutions and software, in your territory, • Build and execute a territory plan to prioritize outreach and prospecting, • Develop new pipeline through outreach, prospecting, local marketing, and industry events, • Close contracts to meet and exceed quarterly and annual bookings targets, • Be mindful and proactive in achieving tactical and strategic objectives, • Manage customer relationships and interactions through all stages of the sales cycle, • Work with field engineers to propose solutions that solve our customers' business problems, • Work with customer success to identify growth opportunities, • Maintain accurate pipeline data and forecasts within Salesforce, • Establish productive professional relationships with key influencers and decision makers, • Bachelor's level degree, preferably in engineering or computer science, • Experience of open source technology and solutions, • Detail oriented with effective follow-up, • Experience in enterprise software or technology sales planning and execution, • Track record of achievement in sales targets and new account wins, • Self-discipline and motivation to be successful in a distributed team, • Professional written and spoken English, as well as any language that may be appropriate for your target market, • Ability to travel for customer engagements, industry events and company events, • Specific vertical experience, in particular finance, telco, health, energy, public sector, tech, • Experience speaking at conferences or industry events, • Distributed work environment with twice-yearly team sprints in person, • Personal learning and development budget of USD 2,000 per year, • Annual compensation review, • Recognition rewards, • Annual holiday leave, • Maternity and paternity leave, • Employee Assistance Program, • Opportunity to travel to new locations to meet colleagues Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #J-18808-Ljbffr

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers from Fortune 500 enterprises to small businesses across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. We are looking for an experienced and hands-on Engineering Manager to lead a high-impact team of 6-8 AI engineers and research scientists, directly shaping the future of Motive's road and driver safety perception technology, developing industry-leading ADAS-like features such as forward collision warning, collision detection, unsafe lane changes, distracted driving, etc. Your primary mission will be to transform cutting-edge AI research into robust, production-ready features, driving the development lifecycle from initial concept through to successful in-field deployment and continuous optimization. You won't just manage; you'll inspire, mentor, and empower. This role demands a leader who thrives on both technical depth and people development. You will be the linchpin ensuring our ADAS-like AI functionalities are not only delivered on schedule but also set new benchmarks for quality, reliability, and performance in real-world conditions. If you are ready to make a significant technical contribution, build an exceptional team, and deliver AI products that redefine user experience and safety, this is the role for you. What You'll Do: • Lead, mentor, and inspire a team of 6-8 AI engineers and scientists, fostering a collaborative, focused, and high-performing environment., • Actively coach and grow individual contributors, providing constructive feedback, managing performance, and supporting their technical improvement and career development., • Foster a culture of technical excellence, continuous learning, and shared responsibility., • Take an active and hands-on role in roadmap planning, technical decision-making, and providing expert guidance for the development of AI/ADAS-like features., • Drive the design, development, and deployment of robust AI models for critical functions like lane keeping, collision warning, and trajectory prediction., • Oversee the entire product lifecycle from research to in-field deployment, ensuring features meet quality, performance, and reliability standards in production., • Stay at the forefront of AI, machine learning, computer vision, and ADAS technologies, integrating relevant advancements into our product strategy., • Develop, enforce, and continuously improve engineering processes and best practices across the team to enhance efficiency and quality., • Master's degree in Computer Science, Electrical Engineering, Robotics, or a related quantitative field. Ph.D. is a plus., • 5+ years of hands-on experience in Computer Vision and/or Machine Learning, with a deep understanding of training and deploying Machine/Deep Learning models., • 2+ years of recent engineering management experience leading an AI/ML focused team of 6+ engineers., • Proven track record of successfully launching and operating Computer Vision or Machine Learning applications at scale., • A deep understanding of the process and challenges involved in building and maintaining large-scale ML products, especially those requiring high reliability and performance in the field., • Exceptional leadership skills with a demonstrated ability to recruit, hire, coach, and grow engineering talent., • Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences., • Experience with sensor fusion (e.g., camera, radar, lidar data)., • Experience with cloud platforms (AWS, Azure, GCP) for MLOps and model deployment.

As an integral member of the Small & Lower Mid-Market Portfolio Management team, the Sr Portfolio Analyst will be responsible for driving the Division's commercial P&C underwriting profitability, growth and digital transformation objectives. He/she will collaborate closely with advanced analytics and data science colleagues to advance real time underwriting and portfolio monitoring capabilities that enable profitable digitally enabled processing. Critical proficiencies will span data analytics, portfolio / product management, business analysis, complex problem solving, leadership and communication. • Support strategic initiatives to advance portfolio management capabilities across pricing, underwriting, and monitoring through advanced data analytics, • Contributes to the execution of digital transformation initiatives under an Agile, dynamic operating model, • Collaborate closely with actuarial and distribution function to maintain granular monitoring dimensions, • Continuously monitor the health and performance of the portfolio across key dimensions, and oversee execution of underwriting action, • Champion opportunities and recommendations to enhance P&L performance, • Support the development of predictive models and machine learning models around profitability, profile trending, exposure level analysis and competitive position, • Work closely with IT, architecture, operations and other business stakeholders to recommend process improvements enabling speed, control and targeted actions, • Develop and design data visualizations to effectively communicate complex data sets and insights to stakeholders, • 4+ years of direct P&C product, portfolio management, corporate finance and/or actuarial experience, preferably in automated digital distribution models, • BS Degree or higher in Actuarial Science, Mathematics, Statistics, Computer Science, Business or Finance, • Excellent analytical and communication skills to translate business results, challenges and solutions clearly and concisely to both functional stakeholders and senior management, • Data visualization and design experience, • Intellectual curiosity: proactively seeks learning and able to quickly grasp new concepts, continuously expanding knowledge and expertise, • Strong leadership, organizational and collaboration abilities

AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZens invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at . We are looking for a highly motivated and strategic Enterprise Account Executive (EAE) with experience selling into finance teams, particularly in the AP Automation or Spend Management space. This is a high-impact role responsible for acquiring new customers and expanding relationships within existing Fortune 1000 accounts. Success will be achieved through solid territory and strategic account planning, prospecting to identify new and additional opportunities, and meeting and ideally exceeding sales quota. Youll own the full sales cyclefrom pipeline creation through contract signatureworking with finance executives, procurement leaders, and strategic partners to drive adoption of AppZens solutions. • Maintain a pipeline 4x of quota, • Manage the entire sales cycle from prospecting, discovery, to closing, • Drive 6 to 12 month sales cycles with an average deal size of $150K+, • Lead discovery and demo conversations with CFOs, Controllers, VPs of Finance, and Procurement leaders, • Navigate complex buying groups and multiple stakeholders in global organizations, • Present AppZen solutions to C-level executives and stakeholders, • Co-sell with partners and resellers, • 5+ years of previous Enterprise sales experience or similar role, • Experience selling SaaS to C-level executives, preferably in finance, • Proven track record of managing and selling into Fortune 1000 accounts, • Proven experience meeting and exceeding sales quotas, • Strong executive presence, communication, and consultative selling skills, • Bachelors Degree, • Ability to travel to client sites and events, requiring extended sitting, standing, and walking, • Proficiency in using equipment (e.g., laptops, phones) for long periods, • Capability to sit for extended durations during meetings and computer work, • Ability to stand and present for long periods at events or meetings, • Strong hearing and verbal communication for in-person and virtual interactions, • Visual acuity to read documents and presentation materials, • Comfort working in various physical environments, including offices and event venues, • Experience with AP Automation platforms, Expense Management, or Compliance Solutions, • Familiarity with Procure-to-Pay (P2P) workflows and solutions (e.g., Coupa, Ariba, SAP, Oracle, etc.), • Background in AI, machine learning, or data-driven enterprise platforms is a plus We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. #J-18808-Ljbffr

The Manager of Data and Insights role is a unique blend of hands-on analytical work and strategic leadership. While serving as a leader who shapes and executes the data and analytics vision, this position also actively participates in the development and implementation of complex analytics solutions. In addition to overseeing and mentoring the Insights Analyst team, the Manager is directly involved in creating and deploying predictive models, benchmarking tools, scorecards, dashboards, and visualizations that drive business results and operational efficiency. This dual focus ensures that the Manager not only guides and empowers the team but also contributes personally to delivering high-impact, actionable solutions. By combining leadership with direct involvement in analytics and AI initiatives, the Manager is able to guarantee that these solutions are tightly aligned with operational needs, supporting Operations in making faster, smarter decisions and achieving measurable improvements in performance. Strategic Leadership • Actively participate in the execution of the enterprise data strategy, ensuring analytics projects directly support business objectives and operational priorities., • Lead by example while managing and developing the Insights Analyst teamproviding hands-on guidance, mentorship, and fostering professional growth through direct involvement in project work., • Personally contribute to the creation and delivery of high-quality analytics outputs, such as complex reports, dashboards, benchmarking tools, predictive models, and data mining initiatives, ensuring accuracy and relevance., • Continuously monitor and adopt emerging market trends, technologies, and best practices in analytics and visualization, implementing innovative solutions that position the organization as an industry leader., • Serve as a hands-on strategic partner to Operations by translating business needs into actionable data-driven strategies and solutions, and ensuring end-to-end project involvement from concept to deployment., • Lead the identification, mentoring, and support of data champions across departments and functions, ensuring collaboration between Operations, Technology, and Business., • Champion the use of AI, machine learning, robotic process automation (RPA), and intelligent systems cross-functionally to streamline workflows and drive innovation., • Evaluate and implement modern analytics and AI platforms, in partnership with stakeholders, to enhance the end-user experience and operational agility., • Oversee the design, development, and deployment of advanced analytics solutions, ensuring accuracy, consistency, and compliance., • Lead strategic initiatives to enhance physical security and business operations through data and AI, with a focus on operational impact., • Drive awareness and facilitate knowledge sharing by guiding BI's transformation and rebranding efforts., • Coordinate with field and shared service partners to secure resources and deliver projects that solve real operational challenges., • Serve as a key liaison between business units, Operations, and technical teams, translating complex analytics and AI concepts into actionable business insights., • Proactively manage communications to foster partnership and trust in the Data Strategy and Insights team.

Job Description An Account Executive within the Enterprise Market is a strategic sales leader responsible for driving revenue growth and market expansion for Verisk's Anti-Fraud solutions. As a core member of the Claims Sales organization, this role partners closely with Enterprise-level accounts, internal specialists, and cross-functional teams to deliver technology-driven solutions that address complex claims and fraud challenges for large insurance carriers. This position offers a significant opportunity to influence business outcomes, deepen executive relationships, and grow with a global leader in insurance data and analytics. This role is fully remote for someone, preferably in the surrounding Great Lakes Territory. Exceptions will be considered based on experience. Responsibilities • Develop and execute a comprehensive enterprise sales strategy that drives new revenue growth and expansion across Verisk's Anti-Fraud Claims solutions, • Consistently meet or exceed annual sales quota through new logo acquisition, cross-sell, upsell, and long-term account expansion within large, complex insurance carriers, • Own the full enterprise sales lifecycle, from prospecting and executive discovery through solution positioning, negotiation, and contract execution, • Represent Verisk as a trusted advisor by delivering compelling, value-based presentations to C-suite and senior insurance leadership in client meetings, conferences, and industry forums, • Build, manage, and expand strategic relationships with enterprise customers and key industry partners to strengthen Verisk's market position, • Lead and support complex commercial negotiations in partnership with legal, finance, and senior leadership to ensure mutually beneficial outcomes, • Partner cross-functionally with product, marketing, customer success, and senior leadership to align enterprise client needs with product roadmap and go-to-market strategy, • Contribute to enterprise growth planning by identifying new market opportunities, emerging fraud trends, and expansion pathways within the claims ecosystem, • Monitor competitive landscape and market dynamics to inform positioning, deal strategy, and client messaging, • Participate in and represent Verisk at key industry events, conferences, and executive briefings to drive pipeline development and brand presence, • Bachelor's degree in Business, Technology, Insurance, or a related field; advanced degree or equivalent enterprise sales experience preferred, • 8-10+ years of progressive enterprise sales experience, with a strong preference for SaaS, data, analytics, or technology-enabled solutions, • Proven track record of consistently meeting or exceeding quota while managing large, complex, multi-stakeholder enterprise accounts, • Demonstrated expertise in leading complex negotiations and closing high-value, long-cycle deals with senior and executive-level buyers, • Strong executive presence with the ability to engage, influence, and build trust with C-suite and senior leadership audiences, • Experience selling into Property & Casualty insurance, claims, anti-fraud, analytics, or adjacent regulated industries strongly preferred, • Exceptional written and verbal communication skills, with the ability to deliver persuasive, value-based messaging and business cases, • Highly effective presenter, comfortable leading executive briefings, boardroom discussions, and large-group presentations, • Strong organizational, pipeline management, and follow-through skills, with disciplined use of CRM and sales methodologies, • Collaborative, team-oriented mindset with experience working cross-functionally across sales, product, marketing, and customer success teams, • Proficiency with enterprise sales tools including Salesforce.com, Microsoft Teams, and executive presentation platforms (e.g., PowerPoint), • Ability to perform essential job functions with or without reasonable accommodation, • Willingness to travel up to 50%, primarily within North America, to support enterprise client engagement and growth #LI-EA1 About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events. Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Claims Operations Intern who will support the Director of Claims Initiatives in driving strategic projects that improve efficiency, service quality, and scalability in home insurance claims. This role offers exposure to the operational and analytical side of insurance, giving you the opportunity to apply business, data, and project management skills in a real-world setting. • Assist with project management activities, including documentation, tracking milestones, and coordinating with cross-functional teams., • Support the development and maintenance of reporting and analytics dashboards (e.g., Domo, Excel) to measure claims performance., • Conduct data analysis on claims trends, operational efficiency, and customer outcomes to provide actionable insights., • Participate in process improvement initiatives, identifying opportunities for automation and standardization., • Assist in preparing presentations and executive updates for senior leadership., • Contribute to special projects related to claims operations, reinsurance initiatives, and portfolio optimization., • Exposure to insurance operations and claims management in a growing organization., • Hands-on experience with strategic projects, process improvements, and analytics., • Mentorship and networking opportunities with senior leaders., • A chance to make a tangible impact on initiatives that shape the future of claims operations., • Currently pursuing a Bachelor's degree in Business, Finance, Risk Management, Data Analytics, or a related field., • AI experience or coursework (e.g., applied AI, machine learning, natural language processing, or workplace analytics tools)., • Strong analytical and problem-solving skills., • Intermediate skills in Excel required., • Excellent written and verbal communication skills. We have more than 1,000 employees in a distributed workforce environment across 12 officesFairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WIwho are tackling the industry's toughest challenges. SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions, and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.

At Kyndryl, we design, build, manage and modernize the technology systems that the world depends on every day. We are always moving forward always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. Are you ready to take on an exciting challenge as a Customer Partner with Kyndryl? We're looking for a dynamic individual who can revolutionize relationship management, drive account growth, and boost profitability. In this role, you'll have the power to create, maintain, and develop deep customer connections, bringing the very best of Kyndryl to the table and building trusted relationships with top-level executives. But this position is about more than just maintaining the status quo. As a Customer Partner, you'll be at the forefront of driving proactive account growth. You'll focus on not only selling new offerings but also minimizing erosion in renewals, ensuring that our largest accounts continue to flourish and thrive. You won't just be a cog in the machine; you'll be a strategic mastermind responsible for developing and executing cutting-edge account strategies. Your expertise will lead to the successful growth and retention of Kyndryl's most valuable accounts. With your sharp eye for identifying and qualifying new opportunities, you'll build relationships with key decision-makers and deliver tailor-made solutions that cater to the unique needs of each customer. Collaboration is key, and as a Customer Partner, you'll work closely with other sales team members to ensure a seamless account management process. Together, you'll execute every aspect flawlessly, from the initial prospecting stage to closing deals and beyond. Not only will you lead a number of Portfolio accounts, but you'll also be the driving force behind generating new opportunities and expanding existing work into larger scopes and new capabilities. By building a strong go-to-market pipeline with our partners, you'll join forces to pursue and conquer new deals, taking Kyndryl to unprecedented heights. You're not just an expert in our industryyou're an expert in the industry. With your deep knowledge of external best practices, you understand how they can impact our customers. By staying ahead of the curve, you'll continuously provide innovative solutions that position Kyndryl as a leader in the market. As an owner of the account P&L, you'll take charge of customer satisfaction, ensuring that our clients are not only happy but also successful. Integrity is at the core of everything you do, and you'll go above and beyond to ensure account compliance and maintain a stellar reputation. Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. You're good at what you do and possess the required experience to prove it. However, equally as important you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused someone who prioritizes customer success in their work. And finally, you're open and borderless naturally inclusive in how you work with others. Required skills and experience include: 5+ years experience running account P&L, 5+ years of experience managing sales process end-to-end, deep knowledge of business and technology trends and industry best practices, experience in one or more of the following industries: Manufacturing; Automotive; Chemical, Oil and Gas; Energy, proven experience with revenue growth, cost, profitability, trends, and risks, open minded and empathetic approach in relationships with customers, may be required to travel up to 50%. Preferred skills and experience include: Bachelor's degree or Master's degree, sales experience in technical solutions. The compensation range for the position in the U.S. is $127,320 to $229,200 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. Your pay or salary range will not be below any applicable state, city or local minimum wage requirement. There is a different applicable compensation range for the following work locations: California: $140,040 to $275,040, Colorado: $127,320 to $229,200, New York City: $152,880 to $275,040, Washington: $140,040 to $252,120, Washington DC: $140,040 to $252,120. This position will be eligible for Kyndryl's discretionary annual bonus program, based on performance and subject to the terms of Kyndryl's applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off. Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program. Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you and everyone next to you the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way. With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About The Role: As a Collections Representative, your core responsibility will be to proactively contact customers with overdue accounts, understand their financial challenges, and collaboratively identify solutions to help them maintain consistent loan payments. This position requires comfort and expertise in navigating and resolving difficult customer situations with professionalism and empathy. Responsibilities: • Manage high volume inbound and outbound calls efficiently to address customers with delinquent loan payments., • Negotiate and execute effective payment arrangements, strictly following Enova's specific call flow to bring overdue accounts current., • Resolve customer concerns and complex issues related to late payments, maintaining a high level of professionalism and empathy., • Communicate clearly and effectively with customers, explaining the implications of overdue payments and offering assistance for financial resolution., • A minimum of 1 year of experience in a high volume debt collections environment, successfully managing both inbound and outbound calls and consistently meeting daily call volume targets., • Exceptional conflict resolution and communication skills, including proven proficiency in active listening and the application of de-escalation techniques during challenging calls., • Strong negotiation abilities, capable of balancing adherence to company policy with genuine customer empathy to secure successful payment arrangements or settlements., • Demonstrated high level of self-management for remote work, including superior time management, strict schedule adherence, and the ability to maintain focus, attention to detail, and perform multiple tasks simultaneously. The budgeted hourly rate for this position is $18.00. Additional compensation for this role may include bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here. This role is fully remote but requires candidates to live in IL, UT, IN, IA, MO, WI, or WY. Benefits & Perks: • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results., • Health, dental, and vision insurance including mental health benefits, • 401(k) matching plus a roth option (U.S. Based employees only), • PTO & paid holidays off, • Sabbatical program (for eligible roles), • Summer hours (for eligible roles), • Paid parental leave, • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova), • Employee recognition and rewards program Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banksin order to create accessible credit for millions. Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here. It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

Location: Chicago, Akron, Arlington, Atlanta, Austin, Baltimore, Birmingham, Boca Raton, Boston, Buffalo, Charleston, Charlotte, Chattanooga, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Denver, Des Moines, Detroit, Edison, Fort Worth, Grand Rapids, Greenville, Hartford, Hoboken, Honolulu, Houston, Indianapolis, Irvine, Jacksonville, Kansas City, LA, Las Vegas, Louisville, McLean, Memphis, Miami, Milwaukee, Minneapolis, Nashville, New Orland, New York, Oklahoma, Orlando, Palo Alto, Philadelphia, Phoenix, Pittsburgh, Pleasanton, Portland, Providence, Raleigh, Richmond, Rochester, Rogers, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, San Jose, Seattle, Secaucus, Stamford, St. Louis, Syracuse, Tallahassee, Tampa, Toledo, Tucson, Tulsa, Washington DC, Westlake Village, Winston-Salem At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Consulting - Tech Consulting - FinTech AI Finance - Senior Manager Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations. The opportunity The AI Finance Senior Manager is a crucial role responsible for supporting the Finance Applications Data Lead in executing the overall data management strategy for finance applications. The successful candidate will leverage their deep expertise in finance applications (planning, reporting, close/consolidation) coupled with deep skills in enterprise data management, data governance, data quality, master data management, Machine Learning, and Generative AI (Gen AI) to support key finance personas. One of the key responsibilities will focus on developing and implementing our "FDL consulting blueprint" service offering, with the goal of creating an industry-agnostic data model which can be utilized as a starting point and be extended to ensure data consistency and interoperability across finance applications. The successful candidate will work closely with the Data Lead and the Product Owner for the FDL to ensure that the FDL Blueprint is designed on a foundation of accurate, consistent, and reliable finance application data architecture, enabling informed decision-making. Your key responsibilities The AI Finance Senior Manager will work closely with finance, IT, and data science teams to support the effective management and utilization of finance application data, harnessing the power of Machine Learning, Gen AI, and Azure data technologies to drive innovation and business value through the development and implementation of the EY AI Finance solution offering. As a Senior Manager, you will play a pivotal role in leading engagement delivery and managing client relationships. Your time will be spent across various responsibilities, including: • Leading the design and delivery of system architecture solutions in collaboration with technical teams., • Tailoring technology platforms to business processes, ensuring clients maximize their investment through effective use and continuous improvement., • Proven ability to manage and deliver complex solutions., • Fostering relationships with client personnel at appropriate levels. Consistently running and delivering quality client services. Driving high-quality work products within expected time frames and on budget., • Monitoring progress, managing risk and confirming that key stakeholders are kept informed about progress and expected outcomes., • Managing expectations of client service delivery., • Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on-the-job feedback/coaching to team members., • Fostering an innovative and inclusive team-oriented work environment. Playing an active role in the counseling and mentoring of junior consultants within the organization., • Supporting Data Management Strategy Execution, including helping execute the overall data management strategy for finance applications., • Defining data requirements, data architecture, and data models for finance applications, considering the potential of Machine Learning and Gen AI technologies., • Leading the design and implementation of an extensible common information model for the FDL Blueprint., • Developing and maintaining documentation, including data dictionaries, entity-relationship diagrams, and data lineage maps., • Leading the development and implementation of our FDL Blueprint solution offering, ensuring scalability, performance, and security., • Collaborating with data scientists and finance SMR's across service lines to identify opportunities for applying Machine Learning and Gen AI techniques to finance applications/personas and extend the FDL., • Supporting the establishment and maintenance of a robust data governance framework for the FDL., • Staying current with the latest advancements in Machine Learning, Gen AI, Data Management and Azure technologies and identifying and implementing innovative solutions that drive efficiency, accuracy, and insights for finance applications., • Bachelor's degree in Finance, Accounting, Business, Computer Science, • Minimum of seven years of progressive experience in Financial Planning & Analysis (FP&A), with demonstrated expertise in:, • Strategic financial planning, budgeting, and forecasting processes, • Financial modeling and scenario analysis, • Variance analysis and management reporting, • Cross-functional collaboration with business stakeholders, • Strong proficiency with EPM (Enterprise Performance Management) platforms, including hands-on experience with solutions such as:, • Anaplan (Certified Model Builder preferred), • Oracle EPM Cloud Suite (PBCS, ePBCS, FCCS), • Oracle Hyperion, • OneStream, Tagetik, or similar platforms, • Solid understanding of financial data architecture and governance, including:, • Financial data modeling and dimensional design, • Chart of accounts structuring and hierarchy management, • Data quality standards and reconciliation processes, • Master data management for finance applications, • Knowledge of finance applications including financial modeling (PnL, Balance Sheet, Cash Flow), • Excellent communication, collaboration, and problem-solving skills, • Ability to work effectively in a fast-paced, dynamic environment, supporting the adoption and implementation of emerging technologies, • Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred, • A strong ability to adapt to changing technology landscapes and stay ahead of industry trends., • Exceptional interpersonal skills to foster team collaboration and client trust., • A proactive approach to problem-solving and decision-making. We seek top performers with a blend of technical expertise and strategic business acumen. Candidates should be adaptive, proactive, and committed to driving innovative technology solutions that propel the business forward. Strong managerial skills and a continual desire to improve both technical and soft skills are essential to meet the evolving demands of the industry.

Chicago Public Schools (CPS) is a district on the rise, serving over 320,000 students in 500+ schools and employing over 44,000 people, most of them teachers. CPS has set ambitious goals to ensure that every student, in every school and every neighborhood, has access to a world-class learning experience that prepares each for success in college, career, and civic life. In order to fulfill this mission, we make three commitments to our students, their families, and all Chicagoans: academic progress, financial stability, and integrity. Six core values are embedded within these commitments student-centered, whole child, equity, academic excellence, community partnership, and continuous learning. The Office of Information and Technology Services (ITS) works to build the capacity of schools to use information and technology, maintain network infrastructure, security standards, and support other departments to meet district goals. ITS provides innovative technology solutions that improve the quality of education for students, reduce the administrative burden on educators, facilitate parent interaction, increase community engagement, and support CPS' mission of transparency by focusing on the ease and equity of access to information. The Manager, Master Data Management & Data/AI is responsible for establishing a comprehensive data strategy that encompasses both Master Data Management (MDM) and advanced analytics, including AI/ML initiatives. Reporting to the Executive Director of Data and Analytics, the Manager, MDM & Data AI will lead a team of MDM specialists and data analysts, collaborating with stakeholders across departments to drive data governance and support CPS's ambitious goals for student success. This is a full-time, exempt position that will be paid for time worked on a salary basis. This position will be held accountable for the following responsibilities: • Lead, mentor, and develop a high-performing team of MDM specialists and data scientists while defining and implementing the overall MDM vision, strategy, and roadmap for CPS, aligning it with the broader data and AI/ML strategy. Champion data governance initiatives and foster a data-driven culture across the district., • Oversee the implementation, maintenance, and optimization of the MDM strategy, including data modeling, integration, quality management, and governance. Establish and enforce data quality standards and processes to ensure the accuracy, completeness, and consistency of master data across all systems. Additionally, evaluate, implement, and manage MDM tools and technologies to support CPS's data management needs., • Lead and oversee the development, implementation, and deployment of advanced analytics and AI/ML models to address business challenges and enhance educational outcomes, ensuring accuracy, reliability, and ethical use., • Identify opportunities to leverage data and AI/ML to enhance operational efficiency, personalize learning experiences, and support data-informed decision-making., • Partner with business leaders and stakeholders across departments (e.g., academics, human resources, finance) to understand their data requirements and ensure alignment with the overall data strategy., • Develop and deliver presentations and reports on MDM and data science initiatives, highlighting their impact and value., • Define and implement data governance policies and procedures to ensure compliance with internal standards and external regulations (e.g., FERPA)., • Monitor and improve data quality by tracking key metrics, identifying areas for improvement, and implementing corrective actions., • Continuously research and evaluate new MDM technologies, data science techniques, and AI/ML advancements to optimize data management and analysis processes, while staying informed about industry standards and emerging data privacy regulations. A bachelor's degree from an accredited college or university is preferred. Major in Computer Science, Information Management, Statistics, or a related field is a plus. Certified Information Management Professional (CIMP), Certified Data Management Professional (CDMP), or related certifications are preferred. Minimum of five (5) years of progressive experience in data management, including the following: • A minimum of two (2) years in a supervisory role., • Experience in both MDM and data science/AI/ML. As a condition of employment with the Chicago Public Schools (CPS), employees are required to: • Establish/Maintain Chicago Residency - Employees are required to live within the geographic boundaries of the City of Chicago within six months of their CPS hire date and maintain residency throughout their employment with the district. The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS employees must be residents of Illinois.

About 1Password At 1Password, we're building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 165,000 businesses and millions of people trust us to provide seamless, secure access to their most critical information. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Job Summary: As an Account Executive, you manage a territory that includes large Enterprise accounts and an existing book of business with companies with 5,001+ employees. Your primary focus is hunting new business opportunities, building sales pipeline, and driving growth within this sector. You play a vital role in driving a significant share of revenue through new logo acquisition and expansion and upselling within existing accounts, leveraging our Extended Access Management platform. Responsibilities: * Strategic Territory Ownership: Establish a long-term vision and strategic account plans to drive pipeline generation, whitespace growth, and multi-threaded relationships across client organizations. * New Business and Expansion: Land, adopt, expand, and deepen relationships within Enterprise accounts through new logo acquisition and upgrade/cross-sell motions. * Complex Deal Management: Lead long sales cycles (6-12+ months) with large ARRi ($250K+), quarterbacking internal and external stakeholders toward mutual action plans and successful outcomes. * Executive Engagement: Build trusted advisor relationships with C-level executives, positioning 1Password's Extended Access Management platform as a strategic business solution, while leveraging existing C-suite relationships to drive ARRi growth. * Thought Leadership: Serve as a thought leader in the Extended Access Management space, bringing cybersecurity and Identity Access Management expertise to customer conversations. * Cross-Functional Collaboration: Work collaboratively with BDRs, Solutions Engineers, Customer Success, Channels, and Alliances teams to maximize account impact. * Partner & Channel Strategy: Leverage partners, channels, and alliances to extend reach and drive more efficient deal execution. * Pipeline Discipline: Operates with rigor in pipeline management, Salesforce hygiene, forecasting accuracy, and MEDDPICC (Force Management or Challenger methodologies also valued). Maintain meticulous Salesforce hygiene including regular updates to Next Steps, committed deals, deal stages, and opportunity health. * Industry Engagement: Attend industry events, trade shows, and conferences to represent 1Password, strengthen brand presence, and build relationships with potential customers. * Continuous Improvement: Actively participate in internal deal reviews, peer coaching, and strategic planning sessions to refine skills and share best practices. Qualifications: * 10+ years of SaaS sales experience, with at least 5+ years selling into large Enterprise accounts (5,001+ employees) * Prior experience successfully navigating and selling into specific business landscapes such as healthcare, financial services, government and insurance sectors. * Demonstrated success consistently overachieving $1M+ annual sales quotas * Proven track record of closing six- and seven-figure ACV deals involving complex buying groups * Specific experience selling SaaS, Cybersecurity, Identity and Access Management, and/or other Cloud solutions * Expertise in strategic account planning, territory management, and executive-level engagement * Deep proficiency in value-based, consultative, and solution selling. * Strong executive presence, excellent listening skills, and a demonstrated ability to build ROI-driven business cases * Experience leveraging partners, alliances, and channels in Enterprise sales motions * Proficiency in Salesforce, Outreach, LinkedIn Sales Navigator, Slack, Zoom, and other modern sales tech. Has a consistent track record of accurately and comprehensively documenting all stages of the sales cycle, from initial contact through close and ongoing client management. * Highly resilient, proactive, and growth-minded with a passion for cybersecurity * A proven team player, eager to collaborate and achieve shared goals rather than working in isolation. * Preferred: Experience with MEDDPPICC; familiarity with Force Management frameworks, Challenger Sale, or Target Account Selling methodologies * Preferred: Candidates who reside in New York Tri State area (NY, NJ, Connecticut) or Bay Area (SF California) USA-based roles only: The annual base salary for this role is between $145,000 USD and $196,000 USD , plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $157,000 CAD and $213,000 CAD plus immediate participation in 1Password's generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You'll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone . Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We're looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. We are committed to leveraging cutting-edge technologyincluding AIto achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged at 1Passwordit's an essential part of how we will be successful at 1Password. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of most roles. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing Maternity and parental leave top-up programs Generous PTO policy Four company-wide wellness days Growth and future Company equity for all full-time employees Retirement matching program Free 1Password account Community Paid volunteer days Employee-led inclusion and belonging programs and ERGs Peer-to-peer recognition through Bonusly You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at and we'll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See ___ for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing ___ . For additional information see our ___ .