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About Sigmoid Analytics: Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation! Why Sigmoid? • Inc. 500 Fastest-Growing Companies (4 years running), • Deloitte Technology Fast 500 (4 years running), • Top Employer: AIM’s 50 Best Firms for Data Scientists Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success. Desired Experience : • 8–12 years of overall experience., • 3+ years in consulting or client-facing analytics roles., • 3+ years of experience in CPG or adjacent commercial analytics environments., • Proven experience engaging with senior stakeholders and leading client conversations., • Strong track record in data science, statistics, and machine learning Role & Responsibilities : • Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions, • Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC)., • Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders, • Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities., • Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI, • Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required., • Perform a role that involves a combination of hands-on contribution and customer engagement, • Contribute to organization building through training, mentoring, and developing repeatable analytic approaches Primary Skills (Mandatory) • Strong foundation in ML and statistical concepts., • Proficiency in SQL, Python, and PySpark., • Experience with Snowflake, BigQuery, Azure, AWS, or Databricks., • Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics., • Ability to convert rigorous analysis into strategic recommendations., • Strong project management, communication, and team leadership skills, • Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space Secondary Skills (Good to have): • Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics., • Data engineering / MLOps experience., • Dashboarding experience with Power BI or Tableau, • Exposure to Agentic AI / LLMs or any other Gen AI capabilities

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Responsible for delivering a variety of basic data solutions for all units within the Actuarial department. Creates well documented data applications in a strong control environment. Supports development of self and others through cross-training. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Responsibilities • Prepare data and templates for quarterly loss and LAE reserve analyses. Ensure balancing of data to source systems. Maintain proper controls and documentation., • Support production and automation of designated external and internal financial and management reports. These include but are not limited to statutory schedules (P) and the "AY Report". May also include regulatory reports and bureau data calls. Requires direction from supervisor or senior programmer., • Support ceded reinsurance placement by providing information and data for broker submissions. Respond to ad hoc requests from brokers with active guidance from supervisor., • Support commercial and personal lines pricing by providing routine scheduled pricing review data, for both state and countrywide reviews. Maintain programming code and associated documentation., • Support all areas of the Actuarial department by providing ad hoc data as requested and agreed upon. Assist supervisor or senior programmer through process. This includes discussing needs, identifying potential solutions and testing. Facilitate the process through regular communication with supervisor and clients., • Identify potential improvements and efficiencies within current processes. Improve data and systems landscape through increased automation, including programming of simple algorithms in a sustainable environment. Properly document associated programming code., • Support corporate IT objectives where technical business resources are required. This may include development, testing, and/or documentation, under the direction of supervisor or senior programmer. Knowledge and Requirements • To maintain effectiveness by improving skills and acquiring new skills over time., • To respond to customer expectations and needs. Education and Experience • College degree preferred., • 1-3 years actuarial experience preferred, • 1-3 years of programming systems software Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $76,000.00 - USD $98,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Revenue Recovery Analyst Summit, NJ Hybrid What you will do Client is recruiting for a Revenue Analyst to support its US Revenue Management team, encompassing Disputes/Deductions Management, Cash Applications, and Accounts Receivable reporting for the US Market. As a member of this team, you will support daily operations and help drive process optimization while ensuring adherence to compliance and performance standards. This is an exciting opportunity that will offer exclusive access to a network of supply chain and financial professionals in the US market and worldwide. This network will help you build on your current skills and explore opportunities to grow your career at Client. Within US Client Revenue team, we value ideas for innovation and improvement and are committed to diversity and inclusion. Together we will reimagine business processes to become more effective, more efficient, and improve customer experience. Key Responsibilities • Upgrade transaction management processes, data infrastructure and reporting to improve business metrics and decision making., • Use process excellence tools & technology and internal/external collaboration to identify and implement business process simplification, standardization and automation to increase revenue recovery, improve cycle time, reduce errors and/or reduce effort., • Perform root cause analysis on revenue process & systems and partner with other business stakeholders to identify patterns, customer payment behavior changes, and resolve issues to reduce future incoming deductions (deduction prevention)., • Use project management skills to lead or participate in functional area and department projects that improve cash flow, reduce deductions, and streamline manual processes., • Support cross-company/cross-functional analyses and give strategic recommendations based on cost-benefit analyses and/or compliance., • Lead with analytical expertise to coach/lead Revenue Analysts on projects and analyses to improve their functional and business skills in the delivery of business results. Required Qualifications • Bachelors degree is required; focused degree in Business, Supply Chain, Engineering, Information Technology, Finance, Logistics, and/or Operations is preferred., • 2 years of experience., • Strong data & analytics skills with tools like MS Excel (advanced), MS Power BI, Alteryx, MS Azure and/or Databricks is required., • Project Management skills are required., • Candidates are required to have demonstrated ability to:, • Work autonomously and independently, • Strong collaboration skills (working on cross functional teams), • Lead process improvement, • Coach and develop skills in others Desired Qualifications • Functional: Experience with financial flows in Accounts Receivable, Accounts Payable, Cash Applications, SOX, Audit, is preferred., • Functional: Experience with order management, customer forward & reverse distribution/logistics is preferred., • Technical: Demonstrated automation skills with programming in Python and/or R or with tools like UI Path and/or Blue Prism is preferred., • Leadership: Strong collaboration skills with experience working on cross functional teams is preferred.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. Selective Insurance is seeking an energetic and collaborative Data Engineer Specialist to work on Data and Analytics projects supporting the Claims Analytics team within the Information Management group. This group is responsible for all Data Engineering, Machine Learning Engineering, Analytics and Reporting for the Claims business area. The candidate must be hands-on with expert technical skills and a proven track record of project delivery. Responsibilities • Hands on development and support of new or existing data applications., • Works closely with the lead to create/review low level implementation designs, understand high level data flow designs developed by Data Architects., • Provide technical guidance to the team and work on implementing complex data solutions., • Provide support in the design, development, code reviews, test deploy and documentation of Data Engineering and Data Integration Applications., • Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments., • Provide technical leadership and mentor junior data engineers., • Work closely with Product Owners, Product Managers, Program Manager, Scrum Master, and Team Members in a Scaled Agile framework., • Closely monitor the health of data pipelines and develop contingency plans for failures., • Maintain detailed documentation to support downstream integrations., • 5-7 of experience in Data Warehousing, Data integration or Data Engineering projects, • Ability to effectively work well with people in other departments and/or outside of the enterprise., • Expert-level proficiency inPython, SQL, and Spark; strong experience withcloud platforms(Azure, AWS, or GCP)., • Expert level experience in Databricks and Delta Lake., • Proven track record of buildingenterprise-scale data platformssupporting advanced analytics and machine learning., • Experience withstreaming architectures(Kafka, Kinesis) andevent-driven data processing., • Strong knowledge ofdata security, encryption, and access controlin regulated environments., • Advanced working knowledge of SQL and optimizing queries and databases for performance., • Ability to debug and resolve complex issues internally and work with external vendors and service providers., • Good understanding and hands on experience in developing and managing CI/CD pipelines, • Good understanding of Data Structures and Data Models., • P&C Insurance experience is highly desired., • Bachelor's degree in computer science or related engineering field preferred., • Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate) Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $123,000.00 - USD $157,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2024 and certification as a Great Place to Work in 2024 for the fifth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note: (For NJ candidates) This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. The Data and Analytics Architect is responsible for the overall design of the data, platforms, and applications (batch/real time, cloud/hybrid) within our Information Management area (including Business Intelligence & Advanced Analytics). This will include the definition of standards, best practices, policies and procedures, integration patterns, data models, high level data flows and data services. This Architect will work in collaboration with IT Application Development teams, Enterprise Architecture, and business partners to establish data and analytics architecture patterns, evaluate new tools and technologies, provide recommendations, support POCs, and assist with implementation/adoption as appropriate. Through this activity, they will enable consistent business analysis, streamlined data acquisition and consumption, development of best-in-class analytical solutions, environment optimization, and compliance with applicable regulations and security standards. All job duties and responsibilities must be carried out in compliance with applicable legal and regulatory requirements. Responsibilities • Works with Delivery Managers to balance rapid delivery of business solutions with sound technical solutions and on development team member competencies, skills, and overall productivity., • Collaborate with Delivery teams to define, select, and implement data, analytics, and information solutions that consider business objectives and meet non-functional requirements., • Assist the Enterprise Architect in the planning process for new business initiatives through buy/build recommendations, vendor solutions evaluations, assessing designs against company standards, evaluating technical risk and define and align technology and roadmaps with business strategies., • Monitor trends and evaluates emerging technologies that are candidates for the future state data and analytics architecture or evolving business strategy and supports vendor analysis and proofs-of-concept to validate new technologies, solutions, and designs as needed., • Provide mentorship and guidance to Junior Architects and Developers in data and analytics technologies, best practices, innovation, designs, and processes., • Assists with tier 2 application production issues and challenging issues in any phase of the development lifecycle. Supports continuous improvement by identifying and proposing tuning opportunities., • Bachelor's Degree in Computer Science, or other related field, or equivalent work experience., • 7 to 10 years of experience in Data and Analytics Architecture, • P&C Insurance industry experience preferred., • Understanding of Data Design methodologies and their application in complex multi-tier systems., • Knowledge of Real Time, Service Oriented Architecture (SOA) and Web Oriented Architecture (WOA), • Strong understanding of Data warehouses, Data Marts and Data Lake., • Ability to develop and architect solutions based on non-functional requirements., • Experience with Power BI, Azure ML, Azure Databricks, IICS and/or Informatica PowerCenter is preferred., • Experience architecting and data modeling in Azure ecosystem is preferred., • Superior technical knowledge in Data Quality, Standards, Governance, and Design, • Ability to effectively work well with people in other departments and/or outside of the enterprise. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and paid time off plans. Additional details about our total rewards package will be provided during the recruiting process. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $146,000.00 - USD $198,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights. What You'll Do: • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics., • Develop medallion or similar data architectures within OneLake., • Optimize performance, cost, and scalability across Fabric workloads., • Establish CI/CD processes and DevOps practices for Fabric deployments., • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks., • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities., • Design dimensional and semantic models to support PowerBI and enterprise analytics., • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC)., • Ensure regulatory compliance (eg., GDPR, SOC 2)., • Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices., • Support incident response and root-cause analysis for production workloads., • Translate business requirements into technical architecture., • Collaborate with analytics, BI, data science, and application development teams. What You'll Bring: Education/ Certifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience). Required Skills/Qualifications: • 5+ years of experience in data engineering, data warehousing, or analytics engineering., • 2+ years of hands-on experience with Microsoft Fabric., • Experience designing lakehouse architectures at enterprise scale., • Proficiency in SQL, Python, Spark, etc., • Experience deploying and managing Microsoft Purview for governance and lineage., • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals)., • Understanding of Azure/Fabric billing and utilization analysis., • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)., • Strong analytical and problem-solving skills. Preferred Skills/Qualifications: • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate)., • Experience with Synapse Link., • Experience with DataBricks, • Experience with MDM platforms (esp. Profisee)., • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow, • Experience integrating streaming or near real-time data workloads., • Familiarity with PowerBI semantic models and enterprise BI governance., • Experience implementing data quality frameworks and metadata-driven pipelines., • Knowledge of Delta Lake and open table formats., • Master's degree in a quantitative or technical discipline. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager, Data Operations - Azure Data Lake to join our Digital Nexus organization. • Lead and manage Managed Service Provider (MSP) resources; responsible for day-to-day monitoring of Azure Data Lake pipelines and operational support activities, • Ensure platform stability and reliability through proactive monitoring, effective incident response, and timely resolution of technical issues, • Own service level agreement (SLA) performance by tracking operational metrics, addressing breaches, and driving corrective actions as required, • Oversee end-to-end data operations monitoring and communicate platform performance, risks, and issues to stakeholders, • Maintain and govern operational documentation, including platform design artifacts, configuration standards, and troubleshooting procedures, • Serve as the primary escalation point for operational issues, collaborating with cross functional teams while providing coaching and guidance to technical staff, • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment, • Minimum five years of recent experience managing data operations, including data pipeline monitoring and incident response, with strong knowledge of Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and Generative and Agentic AI concepts, • Bachelor's degree from an accredited college or university is preferred; High school diploma or GED required, • Experience leading and overseeing Managed Service Provider (MSP) teams across multiple time zones, • Strong ability to develop and maintain clear, comprehensive technical and operational documentation, • Demonstrated success meeting SLAs and performance metrics, with a continuous improvement mindset and ability to translate platform insights into actionable improvements, • Strong communication and collaboration skills, with experience supporting strategic planning and cross functional stakeholders

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager, Data Solution Lead to join our Digital Nexus technology organization. This is a hybrid work opportunity. • Accountable for managing and supporting projects as well as tasks ofvarious sizesacross multiple applications/technologies and relatedprocess, • Transform architectural and business concepts and requirements into robust technology designs and engineering configurations to deliver sustainable solutions for data management and analytics areas, • Design, build andmaintaindata pipelines and orchestration process with scalable transformations which ingest data to the Azure Data Lake, • Facilitate and oversee the technical design and development of technology solutions through the entire project lifecycle to ensure business needs are met, • Collaborate with developers,architects,analyststo develop best technical design and propose solution approaches;serve as a conduit between the business stakeholders and platform engineering team while building relationships andbuy-infrom critical internal and external domain stakeholders, • Contribute to the creation of standardizedprocessesand best practices;keep abreast of latest trends in technology,industryand leverage AI assisted tools to accelerate delivery, • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment, • Minimum five years of recent experience in developing and implementing large technology projects in complex organization with multiple stakeholders; MS Azure experience, including Databricks and Azure Data Factory isrequired, • Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required, • Deep understanding of the engineering, development, implementation and management of information technology solutions, datatoolsand platforms; strong knowledge of data management methodologies such as data architecture, data governance, data modeling, BI/Analytics, and more, • Experience with data manipulation and Extract, Transform, Load (ETL) using common languages like SQL and python for developing data pipelines as well as designing and implementing CI/CD processes; knowledge of source control repositories like Git, • Demonstratedexperience across the systems development life cycle in all project phases from planning to operations; ability to provide technical mentorship through peer collaboration, knowledge sharing and code reviews, • Knowledge of Agile deliveries and project management methodologies; strong analytical, problem-solving, and decision-making skills; ability toidentifypatterns and generate ideas.

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Director, SAP S4 Public Cloud BDC and AI/ML Lead to join our ___ practice. Responsibilities: • Lead business development initiatives by identifying opportunities, crafting proposals, and presenting integrated enterprise solutions that align SAP S/4HANA Public Cloud and its technical ecosystem (including SAP BTP, Datasphere, and AI/ML) with client transformation objectives, • Guide clients through ERP selection, perform current-state discovery, and lead strategic conversations with senior stakeholders to define the future-state technology vision, business case, and transformation roadmap for managing enterprise performance, • Direct large-scale SAP S/4HANA Public Cloud programs, ensuring on-time delivery by managing risks and dependencies, while simultaneously driving pricing strategy and overseeing all project financials to meet or exceed margin targets, • Assess current-state architecture and design the complete future-state solution, defining integrated strategies for tenants, data, integration, and analytics by leveraging SAP S/4HANA Public Cloud, SAP BTP, SAC, Joule, and AI/ML capabilities, • Lead program and manage global delivery teams to ensure the successful build, test, and deployment of complex initiatives, • Provide strategic leadership to project teams to drive performance and delivery excellence, actively mentor and develop team members, and champion innovation by developing AI-powered assets and building market eminence for the practice, • Minimum ten years of recent experience in external management consulting, with a minimum of two full lifecycle SAP S/4HANA Public Cloud implementations with a proven track record in sales and business development, from opportunity identification to presenting integrated solutions, • Bachelor's degree from an accredited college or university in an appropriate field, • Deep technical expertise in SAP S/4HANA Public Cloud and SAP BTP (including RICEFW, CDS Views, and Fiori), combined with a strong understanding of integration, data, and AI strategies involving SAP Datasphere, SAC, Databricks, and Joule, • Demonstrated ability to lead strategic conversations with senior stakeholders on business performance management while designing scalable, future-state solutions that integrate SAP technologies with the broader enterprise architecture, • Exceptional program management and delivery leadership skills, with experience guiding global teams through the entire implementation lifecycle, from planning and risk management to build, cutover, and hypercare, • A strong record of thought leadership and innovation, evidenced by developing AI/ML-powered assets, advising clients across multiple industries, and producing high-quality, publication-ready deliverables, • Travel as needed

KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Databricks Sales Engineer to join our Alliances organization. • Architect and deploy Databricks Data Intelligence Platform solutions, staying current on platform features, well-architected frameworks, and best practices, • Support engagement teams in crafting proposals and solution designs; differentiate KPMG with persuasive RFP responses and technical storytelling that turn requirements into innovative, value-driven proposals, • Lead outcome-focused demos and POVs that showcase how Databricks and AI drive innovation and measurable business value, • Engage CDOs and IT leaders early; embed alliance technologies and integrate with multi-cloud enterprise data stacks, • Partner with alliance and internal sales/delivery teams to accelerate pipeline and bookings, incorporating responsible AI and MLOps into solution architectures, • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment, • Minimum ten years of recent experience in professional services or consulting, including at least five years in technical sales/consulting focused on Databricks and modern cloud data platforms; hands-on exposure to AI products with strong data technology expertise, • Bachelor's degree in a related field from an accredited college/university preferred; or minimum of a high school diploma or GED is required with twelve years of previous sales and/or solution architecting experience, • Experience with a large GSI or Big Four advisory firm; industry exposure across multiple verticals is preferred, • Client-facing position requires someone who is comfortable partnering with C-level executives and their teams who also has a strong executive presence and interpersonal communication skills; ability to build trusted relationships and translates complex needs into clear value propositions for clients, internal stakeholders, and alliance partners, • Proven ability to rapidly design, build, and deliver high-quality demos and POVs independently and in cross-functional teams, • Ability to travel as needed, up to 50% KPMG recruits on a rolling basis. Candidates areconsidered as they apply, until the opportunity is filled. Candidates areencouraged to apply expeditiously to any role(s) for which they are qualifiedthat is also of interest to them. Los Angeles County applicants: Material job duties for this position are listedabove. Criminal history may have a direct, adverse, and negative relationshipwith some of the material job duties of this position. These include the dutiesand responsibilities listed above, as well as the abilities to adhere tocompany policies, exercise sound judgment, effectively manage stress and worksafely and respectfully with others, exhibit trustworthiness, and safeguardbusiness operations and company reputation. Pursuant to the California FairChance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair ChanceInitiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, wewill consider for employment qualified applicants with arrest and convictionrecords.

Subject matter expertise in Azure technologies including ADF, ADB, Key Vault, and cloud data platforms such as Databricks, Power BI, PySpark, SparkSQL, and integration tools like Informatica IPaaS, MuleSoft, and Python; familiarity with GenAI tools preferred. KPMG is currently seeking an Associate D

As an AWS Java Application Development Manager/Lead, you will play a critical role in leading a team of skilled Java developers to design, develop, and deploy applications on the Amazon Web Services (AWS) cloud platform. You will be responsible for guiding the technical direction of the team, ensuri

The Informatica MDM Architect designs, implements, and optimizes Master Data Management (MDM) solutions using Informatica MDM tools. Configure and administer Informatica MDM software and integration with AWS and Databricks and plan for capacity. MDM, and Informatica MDM tools (IDMC,MRM, IDD, Hierarc

Hybrid – Jersey City, NJ Senior Level · 8+ Years Experience.W2 Candidates Only — No C2C, No 3rd-Party Agencies Please.Builds a comprehensive QA framework in Azure Databricks that will gather, store, detect, and process large volumes of data for QA analysis and detection of bugs found in

As a Senior Principal Software Engineer at JPMorganChase in Corporate - AIML Data Platforms and the Chief Data & Analytics team, you will bring your deep expertise in Databricks and large-scale data engineering. Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Datab

A major global financial institution seeks a Senior Principal Software Engineer in Jersey City, NJ, to architect and implement data platforms.

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial institution known for its strong presence in international banking and commitment to innovation in data and technology. The organization operates within a highly regulated, fast-paced environment where data integrity, scalability, and performance are critical to success. Teams are composed of experienced technology and data professionals collaborating across regions to modernize data platforms and support enterprise-wide analytics initiatives. The environment emphasizes precision, accountability, and continuous improvement, with ongoing investments in cloud-based data ecosystems and advanced analytics capabilities. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on large-scale enterprise data transformation initiatives, • Exposure to modern cloud platforms including Azure and Databricks, • Design and develop scalable, high-performance data models for enterprise data warehouse environments, • Translate complex business requirements into conceptual, logical, and physical data models, • Utilize IBM InfoSphere Data Architect (IDA) to build and maintain robust data structures, • Partner with data engineering teams to implement models within Azure and Databricks ecosystems, • Ensure data quality, consistency, and governance across multiple systems and platforms, • Contribute to data architecture discussions and enforce best practices in modeling standards, • Perform impact analysis for model changes and support downstream system alignment, • Create and maintain detailed documentation including data flow diagrams and design specifications, • 10+ years of experience in data modeling and data architecture within enterprise environments, • Strong hands-on experience with IBM InfoSphere Data Architect (IDA), • Proven expertise in designing data models for data warehouses and large-scale data platforms, • Experience working with Azure and Databricks in cloud-based data ecosystems, • Deep understanding of data modeling concepts (conceptual, logical, physical), • Strong collaboration skills with data engineers, architects, and business stakeholders, • Experience performing impact analysis and managing changes across data systems, • Excellent documentation and communication skills, • Financial services or banking domain experience preferred

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • Strong experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Be Part Of A High-Performing Team: Join a large, globally recognized financial services environment where cybersecurity, data governance, and operational resilience are mission-critical. This team sits at the intersection of information security, insider risk, and data engineering, supporting initiatives that strengthen enterprise protection through better visibility, centralized governance, and scalable data platforms. The environment is collaborative, delivery-focused, and highly cross-functional, with close partnership across security engineering, data operations, and business-aligned data owners. This role offers the chance to contribute to a high-impact modernization effort focused on building a more unified and actionable cybersecurity data ecosystem. What’s In Store For You: Engagement: W2 only (no C2C/1099) This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership. How You Will Make An Impact: • Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse, • Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains, • Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions, • Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem, • Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations, • Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes, • Support data quality, security, compliance, and operational reliability across the Azure data platform, • 10+ years of experience in data engineering, data platform development, or related enterprise data roles, • Strong hands-on experience building Azure data solutions in complex production environments, • Proven expertise with Azure Synapse, Azure Data Factory, and Databricks, • Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows, • Strong understanding of data governance, data security, and compliance considerations in regulated environments, • Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations, • Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments, • Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting, • Azure certifications are valued, • Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Join JPMorgan Chase as a Senior Principal Software Engineer - Shape the Future of Data & Analytics. As a Senior Principal Software Engineer at JPMorgan Chase on our AIML Data Platforms & Chief Data and Analytics Team, you'll play a pivotal role in architecting and implementing advanced data platform

As a Senior Principal Software Engineer at JPMorganChase in Corporate – AIML Data Platforms and the Chief Data & Analytics team, you will bring your deep expertise in Databricks and large-scale data engineering. Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Dat

A leading financial services firm in Jersey City is seeking a Senior Principal Software Engineer to own the Databricks platform architecture on AWS. Candidates should have 10+ years of experience, with deep expertise in Databricks and AWS.