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Job DescriptionSalary: Principal Software Engineer/Architect(.NET/C#, DevOps)Hybrid (1 Day Onsite Weekly)|Secaucus, NJ We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the transportation/finance Industry. This is a 6+ month contracting role, with potential for extension. This is a Contract-to-Hire opportunity with expectations of becoming a full-time employee. This is a HYBRID role in Secaucus, NJ. (1 day per week) The ideal candidate will: • Work Authorization: Only U.S. Citizens and Green Card holders will be considered., • Be available to work from the Secaucus, NJ office at least 1 day per week (Wednesday) or as requested. This is subject to change and likely to be more frequent at the start of the assignment as needed., • Pass background check requirements. Job Summary: We are seeking an experienced Principal Software Engineer/Architect to architect, design, and lead the development of core software platforms and enterprise applications. This role will provide technical leadership across the full software development lifecycle while driving cloud-native architecture, modernization initiatives, AI/GenAI adoption, and engineering best practices across the organization. The ideal candidate will have strong hands-on experience with DevOps practices, Kubernetes, containerization, and CI/CD pipeline automation, enabling scalable, secure, and high-performing application deployments in modern cloud environments. Key Responsibilities: • Architect, design, and lead the development of core software platforms and components that underpin NBSAs applications and product offerings, ensuring scalability, reliability, performance, and maintainability., • Define, standardize, and drive adoption of engineering best practices, including architecture patterns, coding standards, CI/CD pipelines, automated testing, and cloud-native deployment models., • Provide technical leadership across the software development lifecyclefrom solution architecture and prototyping to production deployment and continuous optimization., • Evaluate and adopt emerging technologies, frameworks, and industry trends (including AI/GenAI) to enhance application capabilities, accelerate developer productivity, and deliver measurable business value., • Champion the adoption of AI and Generative AI (GenAI) capabilities across the software development lifecycleincluding intelligent automation, code generation, anomaly detection, and decision supportto enhance both application functionality and team productivity., • Lead the design and integration of AI/GenAI-driven capabilitiessuch as intelligent automation, anomaly detection, decision support, and code assistanceacross both customer-facing applications and internal development workflows., • Partner closely with product owners, business stakeholders, and cross-functional teams to translate business requirements into scalable, secure, and well-architected technical solutions., • Drive resolution of complex technical challenges across application architecture, system integration, data flows, and user experience, balancing innovation with pragmatism and operational constraints., • Act as a hands-on technical leader by actively contributing to critical codebases, conducting design and code reviews, and guiding troubleshooting efforts in an agile development environment., • Establish and maintain architectural artifacts and documentation, including system blueprints, design decisions, and trade-off analyses, ensuring transparency, knowledge sharing, and long-term sustainability., • Mentor and develop engineering talent across the organization, fostering a culture of technical excellence, continuous learning, and innovation., • Champion continuous improvement in engineering effectiveness, software quality, and operational performance through metric-driven insights, retrospectives, and automation. Required Skills & Qualifications: • 10+ years of experience in Software architecting, designing, and leading the development of core software platforms and enterprise applications., • Strong proficiency in modern programming languages such as C#/.NET and JavaScript/TypeScript, with working knowledge of additional languages (e.g., Java, C/C++, Python, Shell scripting)., • Extensive experience designing and building APIs, backend services, and scalable web applications using Node.js or comparable frameworks., • Proven expertise in architecting and delivering scalable, cloud-native applications leveraging Kubernetes, Docker-based containerization, microservices architecture, and distributed system principles across Windows and Linux environments., • Strong experience with public cloud platforms (AWS and/or Microsoft Azure), including IaaS, PaaS, and SaaS models, with a track record of deploying, operating, and optimizing applications in cloud environment., • Deep understanding of architectural patterns (e.g., microservices, event-driven, layered architectures) and enterprise design principles, with the ability to translate complex business requirements into scalable, secure, and maintainable solutions., • Hands-on experience integrating AI/GenAI technologies into applications and development workflows, including LLM integration via APIs, intelligent automation, anomaly detection, decision support, and AI-assisted engineering practices., • Solid foundation in data modeling, database design, and data management across relational and non-relational (SQL/NoSQL) systems., • Strong experience with CI/CD pipelines, infrastructure as code, automated testing, and modern DevOps practices to enable reliable, repeatable, and efficient software delivery., • Familiarity with application modernization efforts (e.g., migrating from .NET Framework to modern .NET) is a plus., • Broad understanding of enterprise infrastructure, including Linux/Unix systems, networking fundamentals, and hybrid architectures spanning on-premises and cloud environments., • Experience working within Agile environments (e.g., Scrum), with a strong understanding of modern development paradigms such as MVC, reactive programming, and event-driven systems., • Demonstrated ability to lead technical discussions, influence architectural decisions, mentor engineers, and drive alignment across cross-functional teams while fostering a high-performing engineering culture., • Education:Bachelor's degree required and relevant technical certification. Preferred Qualifications: • Experience migrating applications from .NET Framework to modern .NET., • Experience with reactive programming and event-driven systems., • Relevant technical certifications., • Strong exposure to enterprise-scale cloud transformation initiatives. Other Job Details: • Duration: 8+ Month Contract-to-Hire (Opportunity to convert to a full-time employee based on performance and business needs.), • Pay Rate:$80/hr. on C2C. or $70/hr. on W2. (Negotiable), • Interviews:Video interviews/In-person, • Docs required:ID proof will be required., • Be available to work from theSecaucus office at least 1 day per week (Wednesdays) or as requested. This is subject to change.

Job DescriptionRole : Power BI Architect – Pharma domain Experience: 12+ Years Location: 5 days in NJ office W2 Role Overview We are seeking an experienced Power BI Architect with strong pharmaceutical domain expertise to lead the design, development, and modernization of enterprise analytics solutions. The ideal candidate should have extensive experience in Power BI, data warehousing, cloud platforms, and pharmaceutical commercial, patient, and market access analytics. Key Responsibilities • Design and architect scalable Power BI solutions for enterprise-wide reporting and analytics., • Collaborate with business stakeholders, commercial teams, patient services teams, and IT leadership to translate business requirements into analytics solutions., • Lead dashboard and semantic model design, ensuring performance, scalability, governance, and security., • Define BI architecture, data models, KPI frameworks, and reporting standards across multiple business functions., • Drive migration and modernization initiatives from legacy BI platforms to Power BI., • Work closely with Data Engineering teams on Snowflake, Azure, AWS, Databricks, or similar cloud data platforms., • Implement Row-Level Security (RLS), governance frameworks, deployment pipelines, and enterprise reporting standards., • Provide technical leadership, code reviews, mentoring, and best practices to BI development teams., • Present analytics solutions and business insights to senior leadership and business stakeholders.Technical Skills, • Expert in Power BI Architecture, DAX, Power Query, Data Modeling, • Experience with Tabular Models and Semantic Layer design, • Strong SQL expertise, • Experience with Snowflake, Azure Synapse, Databricks, Redshift, or similar platforms, • Knowledge of Power BI Service Administration and Governance, • Experience with CI/CD, Deployment Pipelines, Git Integration, • Understanding of Data Warehousing concepts and dimensional modeling, • Experience integrating AI capabilities such as Power BI Copilot, Fabric AI, or Generative AI solutions is highly desirable Client & Leadership Responsibilities • Act as a trusted advisor to business and technology stakeholders., • Lead requirement workshops, solution discussions, and architecture reviews., • Recommend innovative BI and AI-driven solutions to improve business decision-making., • Drive executive-level conversations around KPI definitions, reporting strategy, and analytics roadmap., • Support presales activities including solution estimation, architecture proposals, and client presentations., • Manage stakeholder expectations and provide regular updates on delivery progress and risks.Pharma Domain Experience Required Strong understanding of one or more of the following areas: • Commercial Analytics (Sales, Market Share, Territory Performance), • Patient Analytics & Patient Support Programs (PSP), • Market Access & Specialty Pharmacy Analytics, • HCP Engagement & Omnichannel Analytics, • Speaker Programs and Event Analytics, • CRM Analytics (Veeva CRM preferred), • Field Force Effectiveness, • Brand Performance Analytics, • Patient Journey Analytics, • Market Research & Real-World Data (RWD), • Preferred Qualifications, • Bachelor's or Master’s degree in engineering, Computer Science, Data Analytics, or related field., • Microsoft Power BI Certification preferred., • Experience in Pharmaceutical or Life Sciences organizations such as Commercial, Patient Services, Medical Affairs, or Market Access functions., • Exposure to AI/ML, Fabric, Copilot, or Conversational Analytics platforms is a strong advantage. Flexible work from home options available.

Job Description The Senior Azure Cloud & Network Architect is responsible for leading the design, implementation, and governance of secure, scalable, and highly available cloud infrastructure on Microsoft Azure. This role focuses on Azure networking architecture, hybrid connectivity with on-premise infrastructure, and modern cloud platform design to support both enterprise and public-facing applications. The architect drives adoption of Infrastructure as Code (IaC), automation, and modern deployment practices to enable reliable and repeatable delivery of cloud infrastructure and software platforms. Working closely with security, infrastructure, and application teams, this role establishes cloud architecture standards, networking patterns, and governance models that support long-term scalability, resilience, and regulatory compliance. While the primary focus is Azure cloud architecture, the role also requires strong expertise in enterprise networking and hybrid connectivity, integrating on-premise environments with Azure cloud platforms. Primary Job Functions: • Lead the design and governance of enterprise Azure cloud infrastructure and networking architectures., • Design and manage Azure networking services including Virtual Networks (VNets), routing, private connectivity, load balancing, and network security services., • Architect hub-and-spoke network topologies and segmentation models that support scalable enterprise cloud environments., • Design and implement Azure Landing Zones to support enterprise governance, identity integration, networking architecture, and resource organization., • Develop secure hybrid networking architectures integrating on-premise infrastructure with Azure using VPN and ExpressRoute connectivity., • Design multi-region and highly available cloud network architectures to support disaster recovery and business continuity., • Implement Infrastructure as Code (IaC) practices using vendor-agnostic frameworks and automation tools to standardize infrastructure deployments., • Enable development teams through platform engineering practices, reusable infrastructure patterns, and standardized deployment environments., • Support adoption of cloud-native and serverless technologies, including event-driven architectures and managed platform services., • Implement Zero Trust networking principles, including network segmentation, identity-based access controls, and secure service connectivity., • Monitor and troubleshoot complex networking and connectivity issues across hybrid cloud environments., • Maintain architecture documentation, network diagrams, and technical standards., • Support regulatory and security compliance requirements including SOC, PCI, DOI, and NYDFS. The above-cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform. Minimum Qualifications: • 7+ years of enterprise network engineering experience., • Bachelor’s degree in information technology, computer science or equivalent work experience., • Strong expertise in TCP/IP, BGP, OSPF, VLANs, DNS, DHCP., • Hands-on experience with hybrid on-prem and cloud networking., • Experience with major cloud providers., • Proven ability to operate in regulated or compliance-driven environments., • Strong troubleshooting and documentation skills., • Adaptability in a large enterprise environment to adjust and respond effectively to changes, including new technologies, processes, and evolving business needs. Licensure, Certification, and/or Registration: • CompTIA Network+, • Cisco CCNP/CCIE Enterprise, • Fortinet NSE 4-5-6-7-8, • Microsoft Azure AZ-700 Skills & Competencies Required: Azure Cloud Architecture • Expertise designing secure and scalable Azure environments, including landing zones, network segmentation, and multi-region architectures. Hybrid Cloud Networking • Experience designing and supporting hybrid networking architectures integrating on-premise infrastructure with Azure using secure private connectivity. Enterprise Networking • Strong expertise in TCP/IP networking, routing protocols (BGP, OSPF), DNS, DHCP, firewalls, VPNs, LAN, WAN, SD-WAN, SASE and network segmentation. Infrastructure as Code & Automation • Experience implementing automated infrastructure provisioning using Infrastructure as Code frameworks and CI/CD pipelines. Platform Engineering • Ability to build reusable infrastructure patterns and standardized deployment environments that enable development teams to deploy applications quickly and securely. Security & Compliance • Knowledge of Zero Trust networking models, security monitoring, SIEM integration, EDR, Antivirus, ATP, IPS and IDPS and regulatory compliance frameworks relevant to enterprise environments. Supporting regulatory, audit, and compliance requirements (e.g., SOC, PCI, state DOI, NYDFS) through proper controls, documentation, and evidence. Networking device management, access authentication following defined security protocols. Additional Information: Full benefit package including medical, dental, vision, life, company paid short/long term disability, 401(k), tuition assistance and more. The anticipated salary for this position is $110,000 - $115,000 per year, based on qualifications and experience. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Fortegra is not accepting unsolicited resumes from search firms for this position. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job Description Fortegra is building a next-generation engineering capability focused on AI-accelerated development and rapid application delivery. We are seeking Full Stack Engineers who thrive in fast-moving environments and have deep experience designing, building, and deploying enterprise-grade applications. The ideal candidate is a high-agency engineer with strong expertise in React-based front-end systems, modern backend frameworks, and secure public-facing application architecture, combined with hands-on experience using AI-driven development tools and agentic coding workflows. Domain experience in Insurance or Financial Services is a big plus. If you are excited about using tools like Claude Code, GitHub CoPilot, Cursor, Lovable, Replit, and other AI-native development tools to dramatically accelerate product development, we want to talk to you. What You’ll Do: Build and Ship Production Applications: • Architect and develop enterprise-grade full stack applications., • Design and build high-quality React front-end systems., • Develop scalable backend services using modern server-side frameworks., • Deploy secure public-facing applications in production environments., • Ensure performance, reliability, and maintainability of distributed systems. AI-Accelerated Development: • Use AI coding tools such as Claude Code, CoPilot, Cursor, Replit, Lovable and similar environments to dramatically accelerate development cycles., • Implement AI-driven development workflows including agentic coding, prompt-driven engineering, and automated code generation., • Rapidly prototype and iterate on new product ideas., • Evaluate and integrate emerging AI developer tools. Rapid Prototyping and Product Development: • Quickly build and validate new front-end applications and internal tools., • Partner with business stakeholders to transform ideas into working software., • Develop prototypes that evolve into production-ready enterprise systems., • Help establish Fortegra’s modern AI-first engineering culture. Security and Production Readiness: • Design and implement secure architectures for public-facing applications., • Implement authentication, authorization, and secure API design., • Apply best practices in application security, cloud security, and compliance., • Ensure secure handling of sensitive financial and customer data. The above-cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform. Required Qualifications: • 7+ years of professional software engineering experience., • Significant experience designing and deploying enterprise-grade applications., • Expert-level proficiency with React and modern front-end frameworks., • Strong experience with at least one server-side framework such as:, • Node.js / NestJS / Express, • Python (FastAPI, Django), • .NET Core, • Experience building and deploying secure public-facing applications, • Strong knowledge of API design, distributed systems, and cloud architectures., • Hands-on experience using AI coding tools such as:, • Claude Code, • Cursor, • GitHub Copilot, • Replit, • Experience with AI-assisted or agentic development workflows., • Strong ability to prototype quickly and iterate rapidly. Preferred Qualifications: • Insurance or Financial Services domain experience., • Experience building AI-enabled products or developer tooling., • Familiarity with LLMs, AI agents, and prompt engineering., • Experience with serverless and cloud-native architectures., • Experience deploying applications in AWS, Azure, or GCP., • Experience building internal platforms or developer tooling., • Startup or high-velocity product development experience. What Makes This Role Unique: • Work in an AI-first engineering environment., • Use modern AI developer tools to dramatically accelerate development., • Build production applications from prototype to deployment., • Help shape Fortegra’s next generation product platform., • Join a high-impact engineering team focused on rapid innovation. Salary Range $110,000 – $190,000 base salary, commensurate with experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas at this time. We welcome applicants of all backgrounds and national origins. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job DescriptionJob Description Role: Java Full Stack Developer with Angular Location: Iselin, NJ (3 days a week hybrid) Duration: Longterm As a Senior Software Engineer, you will work alongside and mentor a group of talented engineers as you pursue a broad range of initiatives. By leveraging your technical skills and thirst for innovation, you will produce disruptive technologies that will ensure market leadership in consumer banking. As a future leader, you will work on multiple solutions spanning consumer banking applications. The Senior Software Engineer will be responsible for: • Designing, modifying, developing, and implementing technology solutions. Building modern, architecturally sound components, tools, and applications to meet mission-driven strategic business goals., • Participating in an environment rapidly transforming to the Agile methodology, adhering to best practices and collaborating effectively with team mates., • Infusing quality of service characteristics, such as scalability, manageability, and maintainability, into distributed service-based frameworks to create or expand business or technical capabilities., • Contributing insight from prior experiences when considering design specifications, especially considering the goals of the consumer-facing product. Required Qualifications • 5+ years of experience in software development, with a proven record of successfully launching commercial products., • 3+ years of experience with collecting requirements, creating software designs, and developing efficient implementations., • Demonstrated ability to operate in a team environment, with strong interpersonal and communication skills., • Understanding of multiple programming languages, including at least one front-end framework (Angular/React/Vue), such as Python3, Java, JavaScript, Ruby, Golang, C, C++, etc., • Required: Bachelor's degree in Software Engineering, Computer Science, Engineering, Mathematics, or a related discipline. Desired Qualifications • Understanding of the banking industry, specifically the functions of custodial and consumer banking., • Experience with AWS/Azure/GCP., • Bash and Linux experience., • Familiarity with full-stack development., • Experience with CI/CD pipelines (CircleCI, Jenkins, or equivalent)., • Cloud certifications such as AWS Solutions Architect., • Understanding of data structure concepts such as linked lists, dictionaries, arrays, custom object creation, etcAdditional Information All your information will be kept confidential according to EEO guidelines.

Job Description Principal Software Engineer/Architect(.NET/C#, DevOps) –Hybrid (1 Day Onsite Weekly)|Secaucus, NJ We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the transportation/finance Industry. This is a 6+ month contracting role, with potential for extension. This is a Contract-to-Hire opportunity with expectations of becoming a full-time employee. This is a HYBRID role in Secaucus, NJ. (1 day per week) The ideal candidate will: • Work Authorization: Only U.S. Citizens and Green Card holders will be considered., • Be available to work from the Secaucus, NJ office at least 1 day per week (Wednesday) or as requested. This is subject to change and likely to be more frequent at the start of the assignment as needed., • Pass background check requirements. Job Summary: We are seeking an experienced Principal Software Engineer/Architect to architect, design, and lead the development of core software platforms and enterprise applications. This role will provide technical leadership across the full software development lifecycle while driving cloud-native architecture, modernization initiatives, AI/GenAI adoption, and engineering best practices across the organization. The ideal candidate will have strong hands-on experience with DevOps practices, Kubernetes, containerization, and CI/CD pipeline automation, enabling scalable, secure, and high-performing application deployments in modern cloud environments. Key Responsibilities: • Architect, design, and lead the development of core software platforms and components that underpin NBSA’s applications and product offerings, ensuring scalability, reliability, performance, and maintainability., • Define, standardize, and drive adoption of engineering best practices, including architecture patterns, coding standards, CI/CD pipelines, automated testing, and cloud-native deployment models., • Provide technical leadership across the software development lifecycle—from solution architecture and prototyping to production deployment and continuous optimization., • Evaluate and adopt emerging technologies, frameworks, and industry trends (including AI/GenAI) to enhance application capabilities, accelerate developer productivity, and deliver measurable business value., • Champion the adoption of AI and Generative AI (GenAI) capabilities across the software development lifecycle—including intelligent automation, code generation, anomaly detection, and decision support—to enhance both application functionality and team productivity., • Lead the design and integration of AI/GenAI-driven capabilities—such as intelligent automation, anomaly detection, decision support, and code assistance—across both customer-facing applications and internal development workflows., • Partner closely with product owners, business stakeholders, and cross-functional teams to translate business requirements into scalable, secure, and well-architected technical solutions., • Drive resolution of complex technical challenges across application architecture, system integration, data flows, and user experience, balancing innovation with pragmatism and operational constraints., • Act as a hands-on technical leader by actively contributing to critical codebases, conducting design and code reviews, and guiding troubleshooting efforts in an agile development environment., • Establish and maintain architectural artifacts and documentation, including system blueprints, design decisions, and trade-off analyses, ensuring transparency, knowledge sharing, and long-term sustainability., • Mentor and develop engineering talent across the organization, fostering a culture of technical excellence, continuous learning, and innovation., • Champion continuous improvement in engineering effectiveness, software quality, and operational performance through metric-driven insights, retrospectives, and automation. Required Skills & Qualifications: • 10+ years of experience in Software architecting, designing, and leading the development of core software platforms and enterprise applications., • Strong proficiency in modern programming languages such as C#/.NET and JavaScript/TypeScript, with working knowledge of additional languages (e.g., Java, C/C++, Python, Shell scripting)., • Extensive experience designing and building APIs, backend services, and scalable web applications using Node.js or comparable frameworks., • Proven expertise in architecting and delivering scalable, cloud-native applications leveraging Kubernetes, Docker-based containerization, microservices architecture, and distributed system principles across Windows and Linux environments., • Strong experience with public cloud platforms (AWS and/or Microsoft Azure), including IaaS, PaaS, and SaaS models, with a track record of deploying, operating, and optimizing applications in cloud environment., • Deep understanding of architectural patterns (e.g., microservices, event-driven, layered architectures) and enterprise design principles, with the ability to translate complex business requirements into scalable, secure, and maintainable solutions., • Hands-on experience integrating AI/GenAI technologies into applications and development workflows, including LLM integration via APIs, intelligent automation, anomaly detection, decision support, and AI-assisted engineering practices., • Solid foundation in data modeling, database design, and data management across relational and non-relational (SQL/NoSQL) systems., • Strong experience with CI/CD pipelines, infrastructure as code, automated testing, and modern DevOps practices to enable reliable, repeatable, and efficient software delivery., • Familiarity with application modernization efforts (e.g., migrating from .NET Framework to modern .NET) is a plus., • Broad understanding of enterprise infrastructure, including Linux/Unix systems, networking fundamentals, and hybrid architectures spanning on-premises and cloud environments., • Experience working within Agile environments (e.g., Scrum), with a strong understanding of modern development paradigms such as MVC, reactive programming, and event-driven systems., • Demonstrated ability to lead technical discussions, influence architectural decisions, mentor engineers, and drive alignment across cross-functional teams while fostering a high-performing engineering culture., • Education: Bachelor's degree required and relevant technical certification. Preferred Qualifications: • Experience migrating applications from .NET Framework to modern .NET., • Experience with reactive programming and event-driven systems., • Relevant technical certifications., • Strong exposure to enterprise-scale cloud transformation initiatives. Other Job Details: • Duration: 8+ Month Contract-to-Hire (Opportunity to convert to a full-time employee based on performance and business needs.), • Pay Rate: $80/hr. on C2C. or $70/hr. on W2. (Negotiable), • Interviews: Video interviews/In-person, • Docs required: ID proof will be required., • Be available to work from the Secaucus office at least 1 day per week (Wednesdays) or as requested. This is subject to change.

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. The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business. Key Responsibilities: • Client Engagement & Advisory, • Partner with senior data leaders to provide strategic, forward-looking advisory, • Lead client reviews and recommend improvements across platforms, operating models, and practices, • Drive enterprise transformation initiatives across technology, organization, and processes, • Deliver thought leadership through workshops and knowledge-sharing sessions, • Solutioning & Pre-Sales, • Present capabilities and support business development initiatives, • Develop solutions and proposals for complex client requirements, • Architect scalable solutions for high-impact, first-of-its-kind programs, • Practice Leadership, • Mentor and develop engineering and architecture talent, • Manage and guide architect resources across engagements, • Contribute to go-to-market assets (reference architectures, frameworks, best practices), • Support hiring and strengthen talent acquisition processes, • Collaborate with global teams to enhance delivery and capabilities, • Expertise & Skills, • Strong experience in solution architecture for large-scale enterprise transformation programs, • Deep expertise in modern data platforms (NoSQL, MPP, columnar, big data, cloud – AWS, Azure, GCP), • Experience with data processing frameworks (batch ETL, real-time streaming, IoT architectures), • Knowledge of Data Fabric, Data Mesh, and enterprise data architecture patterns, • Expertise in data management practices, including data governance, cataloging, and data security, • Experience with MLOps, ML lifecycle, and advanced analytics platforms, • Strong background in data warehousing, BI ecosystems, and analytics solutions, • Proficiency in DevOps, Infrastructure as Code, and programming (Python, Java, Scala, etc.), • Exposure to knowledge graphs, customer data platforms, and digital analytics ecosystems, • Soft Skills, • Strong ownership mindset with an entrepreneurial approach, • Ability to work with ambiguity and solve complex, abstract problems, • Excellent stakeholder management and collaboration skills, • Ability to design, review, and recommend scalable, secure, and cost-optimized architectures Requirements • Bachelor’s degree in Computer Science or related field (or equivalent experience), • 15+ years of experience in solution architecture and technology platforms, • 5+ years in consulting leadership roles, • Strong domain expertise in the Retail/CPG domain. Benefits 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 responsibilities. 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.

At Citi Services - Global Trade Technology Organization, we are on a mission to harness the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. Our data team is at the heart of this mission, building the scalable and resilient infrastructure that turns data into our most valuable asset. We are a passionate, collaborative group dedicated to pushing the boundaries of what's possible. Are you a seasoned data expert who loves to build as much as you love to lead? Do you believe that a great data culture is the foundation for a great data platform? We are looking for a Senior Data Engineering Lead to be a player‑coach for our talented data engineering team. This is a unique, high‑impact role for someone who is both a visionary architect and a hands‑on builder. You will not only design our next‑generation data architecture but also roll up your sleeves and write the code that brings it to life. More importantly, you will be the primary champion for a world‑class data engineering culture, setting the standard for technical excellence, innovation, and collaboration. You will lead by example, mentoring engineers, and establishing practices that empower the entire organization to build with data confidently. • Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real‑time streaming platforms on the cloud., • Build & Code: Act as a senior individual contributor and hands‑on technical leader. Write clean, maintainable, and high‑performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)., • Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment., • Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards., • Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long‑term data strategy and roadmap., • Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform., • Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams., • 10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems., • 3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers., • Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills., • Proven hands‑on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development., • Deep, hands‑on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)., • Extensive hands‑on experience with modern big data technologies and data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)., • Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect., • Proficiency in designing and implementing microservices architectures, RESTful APIs, and event‑driven systems with “Data as a Product” principle., • Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads., • Deep understanding and hands‑on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)., • Experience building and maintaining CI/CD pipelines for data applications (e.g., using Jenkins, GitLab CI, GitHub Actions)., • Experience with AI technologies including coding assistants like Microsoft Copilot, Calude Code and Devin., • A passionate advocate for software engineering best practices and a deep‑seated belief in the importance of a strong, positive engineering culture., • Collaborative and capable of bridging the gap between Business, Technology, and Analytics teams., • Experience managing global technology teams., • Working knowledge of industry & Citi practices and standards., • Consistently demonstrates clear and concise written and verbal communication., • Exceptional communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences., • Bachelor's degree/University degree or equivalent experience., • Master's degree preferred. In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Time Type: Full time Primary Location: Jersey City, New Jersey, United States Salary Range: $176,720.00 - $265,080.00 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. #J-18808-Ljbffr

Step into the role of a Principal Architect at JPMorgan Chase and become a driving force behind the development and adoption of cutting‑edge, cloud‑based technologies. As a Principal Architect within the Corporate Technology team, you are part of a team that develops and supports high‑quality architecture strategy and solutions for software applications and platform products. You drive significant business impact and help shape target‑state architecture across multiple domains. You will serve as a strategic technology leader, defining and governing end‑to‑end solution architectures for critical platforms and transformation programs. You partner closely with CTOs, Chief Architects, and senior engineering leaders to deliver business and technology strategy. Your role blends deep architectural expertise with executive presence, influencing business and technology stakeholders and providing hands‑on guidance to engineering teams. You help accelerate delivery, embed security and resiliency, and foster a high‑performing architecture community. • Translate business strategy into pragmatic solution roadmaps and reference architectures, • Drive architecture decisions balancing resilience, scalability, latency, cost, risk, and time‑to‑market, • Set and enforce design principles, patterns, and guardrails across portfolios, • Chair or contribute to Architecture Review Boards, ensuring compliance with enterprise standards and regulatory obligations, • Build trusted advisor relationships with CTOs, Chief Architects, and senior leaders to co‑create technology strategy and execution plans, • Facilitate outcome‑focused dialogue between business, product, and technology leaders to align trade‑offs and secure buy‑in, • Guide programs from concept to production, shaping epics and non‑functional requirements, and ensuring traceability to business outcomes, • Provide hands‑on oversight and coaching to domain architects and engineering leads, intervening in complex design issues as needed, • Own target and transitional architectures for complex, multi‑region systems across customer, risk, finance, data, and payments domains, • Mentor and develop high‑performing architects, fostering a community of practice and promoting reusability through reference implementations, • Formal training or certification in software engineering concepts and 10+ years of applied experience, • Proven track record leading architecture for large, distributed, mission‑critical systems with 24x7 operations and high resiliency targets, • Deep expertise in architecture patterns: microservices, event‑driven and streaming architectures, API‑led connectivity, data mesh/lakehouse, CQRS, and domain‑driven design, • Experience with hyperscale cloud platforms (AWS, Azure, GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering, • Strong knowledge of real‑time streaming (Kafka, Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns, • Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery, and site reliability practices, • Integration and legacy modernization: messaging, APIs, eventing, SOA‑to‑microservices transitions, mainframe integration, and strangler‑fig approaches, • Executive presence with ability to simplify complexity and influence outcomes across senior stakeholders in both business and technology, • Strong vendor management and build/buy/partner decisioning; experience shaping multi‑year investment portfolios, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience), • Relevant certifications (e.g., AWS, Azure, GCP Architect, TOGAF, CISSP, SAFe), • Experience in global financial services and regulated environments, • Hands‑on pragmatism; able to review designs and code‑level artifacts while maintaining a strategic lens, • Experience with platform engineering, green software, and confidential computing, • Strong communication and relationship‑building skills across C‑suite and engineering teams, • Experience mentoring and developing architecture talent, • Familiarity with compliance regimes (e.g., EBA, PRA, OCC, MAS) and architecture support for regulatory requirements We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity. Additional benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We recognize our people as our strength and value diversity and inclusion. We are an equal‑opportunity employer and do not discriminate on the basis of any protected attribute. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. For more information about requesting an accommodation, visit our FAQs. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. Jersey City, NJ: $204,250.00 - $285,000.00 per year #J-18808-Ljbffr

At Citi Services - Global Trade Technology Organization, we are on a mission to harness the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. Our data team is at the heart of this mission, building the scalable and resilient infrastructure that turns data into our most valuable asset. We are a passionate, collaborative group dedicated to pushing the boundaries of what’s possible. Are you a seasoned data expert who loves to build as much as you love to lead? Do you believe that a great data culture is the foundation for a great data platform? We are looking for a Senior Data Engineering Lead to be a player‑coach for our talented data engineering team. This role will design next‑generation data architecture, write code to bring it to life, champion a world‑class data engineering culture, and mentor engineers. • Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real‑time streaming platforms on the cloud., • Build & Code: Act as a senior individual contributor and hands‑on technical leader. Write clean, maintainable, and high‑performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)., • Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment., • Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards., • Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long‑term data strategy and roadmap., • Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform., • Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams., • 10+ years of professional experience in data engineering, with a proven track record of designing and building large‑scale data systems., • 3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers., • Expert‑level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills., • Proven hands‑on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development., • Deep, hands‑on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)., • Extensive hands‑on experience with modern big data technologies and data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)., • Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect., • Proficiency in designing and implementing microservices architectures, RESTful APIs, and event‑driven systems with a “Data as a Product” principle., • Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads., • Deep understanding and hands‑on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)., • Experience building and maintaining CI/CD pipelines for data applications (e.g., using Jenkins, GitLab CI, GitHub Actions)., • Experience with AI technologies including coding assistant tools like Microsoft Copilot, Claude Code, and Devin., • A passionate advocate for software engineering best practices and a deep‑seated belief in the importance of a strong, positive engineering culture., • Collaborative and capable of bridging the gap between Business, Technology, and Analytics teams., • Experience managing global technology teams., • Working knowledge of industry & Citi practices and standards., • Consistently demonstrates clear and concise written and verbal communication., • Exceptional communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences., • Bachelor’s degree/University degree or equivalent experience., • Master’s degree preferred. Base salary: $176,720.00 – $265,080.00. In addition to salary, Citi’s offerings may also include discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; wellness programs; paid time off packages (vacation, sick leave, paid holidays); and other benefits. For additional information regarding Citi employee benefits, please visit citibenefits.com. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. #J-18808-Ljbffr

Investor Services Technology - Data Solutions Senior Vice PresidentApplyremote type: Hybridlocations: Jersey City New Jersey United States: Tampa Florida United Statestime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: 26973631Citi's Investor Services Technology group is seeking a technically exceptional and domain-savvy Data Architect to serve as the definitive data architecture authority across the Investor Services (IS) program — spanning Custody, Fund Administration, and Securities Finance.This is explicitly a hands-on architect role. The successful candidate will be expected to write, review, and validate architecture artifacts, data models, canonical schemas, and technical standards. You will be embedded with delivery teams, working directly with business analysts, data engineers, and technology leads to produce production-quality data architecture outputs that the entire IS program depends on.You will also lead the design and delivery of a suite of data architecture utilities — reusable tooling, accelerators, and automation that dramatically compress the time to deliver consistent, standards-compliant data integrations across Investor Services platforms. This role is a rare opportunity to set the data foundations for one of the most complex and consequential technology transformation programs in global financial services. Deep Custody and/or Fund Services domain knowledge is a prerequisite, not a preference. Responsibilities:* Data Architecture Principles & Standards Define, document, and own the Investor Services data publication architecture principles — governing data modelling standards, naming conventions, versioning strategies, API data contracts, and data quality rules across all IS technology domains.* Architecture Pattern Standardization Work with delivery leads across all 50+ IS platforms to define, document, and enforce standardized architecture patterns for data generation, transformation, and consumption — covering batch, near-real-time, and event-driven data flows from source systems to downstream consumers.* Canonical Data Models & Dictionaries Personally lead and contribute to the creation of canonical data models, enterprise data dictionaries, and business glossaries for Custody and Fund Services domains — collaborating directly with business SMEs, operations leads, and delivery architects to reach consensus and lock down definitions. Canonical Formats & Samples Design and publish canonical message formats (JSON schemas, Avro), reference data samples, and integration contracts — providing platform teams with unambiguous, implementation-ready data specifications that eliminate downstream interpretation risk. Data Architecture Utilities Design and build shared data architecture utilities — including schema validators, data contract testing frameworks, data lineage trackers, canonical mapping accelerators, and code generators — that compress individual platform delivery timelines and enforce standards automatically. Business & Tech Collaboration Serve as the primary bridge between business stakeholders and engineering teams on all data architecture decisions — facilitating working sessions, reviewing data model proposals, resolving conflicts, and driving timely sign-off on data contracts across a complex, multi-stakeholder program. Data Governance & Lineage Establish data governance frameworks that cover data ownership, stewardship, classification, and lineage across IS platforms — ensuring regulatory auditability, data quality SLAs, and compliance with internal data management policies and external regulations. Program Timeline Acceleration Proactively identify and remove data architecture bottlenecks that are blocking delivery across the IS program — using utility tooling, pre-built reference architectures, and direct hands-on contribution to unblock platform teams and compress overall program timelines.Experience: 10 - 12+ years in technology, with at least 6 years in a data architecture, data engineering, or enterprise architecture role within financial services Demonstrable track record as a hands-on data architect— directly authoring data models, schemas, and technical standards (not purely advisory) Experience defining data architectures for large-scale, multi-platform programs in a regulated financial institution Background working across complex, multi-stakeholder environments requiring negotiation and consensus-building on data definitions and contracts* Experience delivering shared architectural tooling or utilities that improved delivery velocity at program scaleEducation:* Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical disciplineTechnical Skills: Expert-level proficiency in data modelling techniques: conceptual, logical, and physical modelling; entity-relationship (ERD) design; dimensional and normalized models Deep expertise in canonical data format design: JSON Schema, Avro, — including schema versioning, backward/forward compatibility, and evolution strategies Strong command of API design and data contract patterns: OpenAPI, AsyncAPI, consumer-driven contract testing (Pact) Hands-on experience with data lineage and cataloguing tools (Apache Atlas, Collibra, Alation, DataHub, or equivalent) Proficiency in event-driven architecture and messaging platforms: Apache Kafka (schema registry, Avro serialization), Solace Working knowledge of cloud data platforms: Databricks, Snowflake, AWS (Glue, Lake Formation), Azure (Data Factory, Synapse), or GCP Ability to read and write production-quality code in Python or Java — sufficient to build and contribute to data architecture utilities Familiarity with data quality frameworks, master data management (MDM), and metadata management best practicesDomain Knowledge:* Custody:Deep understanding of asset servicing data — securities master, settlement instructions, positions, corporate actions, income events, and reconciliation data structures* Fund Services:Working knowledge of fund accounting data models — NAV components, expense structures, investor registers, transaction data, and fund reporting data requirements Familiarity with industry data standards and messaging protocols: SWIFT (MT/MX, ISO 20022), FIX, FpML, and their data model implications Understanding of securities reference data: instrument master, issuer data, pricing, and the data management challenges at global scale Knowledge of post-trade settlement data flows: DVP/FOP settlement, fail management, and the data hand-offs between custody and counterparty systems Awareness of regulatory data requirements: SFTR reporting data fields, FATCA/CRS data requirements, and audit trail obligations in custody and fund servicesEducation:* Bachelor's degree or equivalent experience------------------------------------------------------## Job Family Group:Technology------------------------------------------------------## Job Family:Applications Development------------------------------------------------------## Time Type:Full time------------------------------------------------------## Primary Location:Jersey City New Jersey United States------------------------------------------------------## Primary Location Full Time Salary Range:$176,720.00 - $265,080.00In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. #J-18808-Ljbffr

Are you a visionary engineering leader with a passion for building cutting‑edge platforms using Generative AI? Do you thrive on driving innovation, managing high‑performing teams, and delivering impactful solutions in a fast‑paced environment? Citi is seeking a highly experienced and strategic Sr. Engineering Development Manager, SVP to lead the development of our intelligent document processing platform for the Services Technology Business. This pivotal role involves spearheading the design, architecture, and implementation of highly scalable and robust application systems, leveraging the latest advancements in AI and cloud technologies. If you’re ready to shape the future of intelligent automation and lead a talented team to success, we invite you to join us. As the Sr. Engineering Development Manager, SVP, you will be responsible for defining the technical vision, managing a team of accomplished engineers, and coordinating with product and technology partners to deliver transformative solutions. Your expertise will be critical in driving systems analysis and programming activities, ensuring our platforms are scalable, reliable, and performant. • Strategic Platform Leadership: Design and architect a cutting‑edge, end‑to‑end platform for image digitization, integrating Generative AI technologies with a focus on scalability, reliability, and performance., • AI/ML Innovation: Drive the implementation of RAG‑based architectures and leverage multimodal capabilities of commercial Large Language Models to build intelligent applications, including search, chat agents, and guided analytics., • Engineering Excellence: Implement and champion best DevOps practices, including CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline development and deployment., • Team Leadership & Development: Lead, mentor, and grow a high‑performing team of developers and analysts, fostering a culture of technical excellence, continuous learning, and innovation. Recruit top talent and ensure professional growth for all team members., • Project & Risk Management: Oversee the Book of Work deliverables, manage project goals, and proactively mitigate risks. Adapt quickly to changing priorities, ensuring the team pivots effectively to meet evolving business needs., • Cross‑Functional Collaboration: Influence and negotiate with senior leaders and external partners. Lead technical design discussions, negotiating feature sets and guiding development efforts across integrating applications., • Compliance & Ethical Conduct: Appropriately assess and manage technical and business risks, safeguarding the firm’s reputation and assets. Ensure compliance with applicable laws, regulations, and internal policies, exercising sound ethical judgment., • Product Partnership: Collaborate closely with Product Development to align on priorities, roadmaps, and feature delivery., • 10+ years of progressive industry experience in systems architecture and software development, with a strong emphasis on Data Processing, AI/ML, and DevOps., • 8+ years proven experience designing and implementing large‑scale, complex microservices architectures in cloud environments (e.g., single/multi‑tenant solutions on AWS, Azure, GCP)., • 8+ years experience and comprehensive understanding of software development lifecycle, microservices architecture, and API design principles., • 5+ years hands‑on experience with Python as a primary development language, complemented by full‑stack application development., • 5+ years experience with DevOps tools (Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices., • 5+ years experience in Generative AI technologies, including proficiency in AI/ML frameworks (e.g., Langchain) and practical experience building applications with Large Language Models., • Experience with diverse data storage solutions (NoSQL, SQL, data lakes) and pipeline orchestration., • Demonstrated leadership abilities in managing and mentoring engineering teams, setting development standards, and driving project execution., • Exceptional analytical, problem‑solving, and troubleshooting skills, with a track record of delivering innovative solutions and improving performance. Bachelors Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience. • Lead the build‑out of an intelligent document processing platform for the Services Technology Business., • Directly work with product partners, developing project plans, and constructing comprehensive roadmaps., • Engage in building robust workflow libraries to enhance platform capabilities., • Demonstrable portfolio of significant software applications developed over the last 5 years., • Experience with full life cycle software development, emphasizing Generative AI integration. Technology Applications Development Full time Jersey City, New Jersey, United States $176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. CitibeniF F**: <— (omit website link for privacy) Please see the requirements listed above. Artificial Intelligence (AI), Data Processing, DevOps, Machine Learning (ML), Python (Programming Language). — Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. #J-18808-Ljbffr

Citi's Investor Services Technology group is seeking a technically exceptional and domain-savvy Data Architect to serve as the definitive data architecture authority across the Investor Services (IS) program — spanning Custody, Fund Administration, and Securities Finance. This is explicitly a hands‑on architect role. The successful candidate will be expected to write, review, and validate architecture artifacts, data models, canonical schemas, and technical standards. You will be embedded with delivery teams, working directly with business analysts, data engineers, and technology leads to produce production‑quality data architecture outputs that the entire IS program depends on. You will also lead the design and delivery of a suite of data architecture utilities — reusable tooling, accelerators, and automation that dramatically compress the time to deliver consistent, standards‑compliant data integrations across Investor Services platforms. This role is a rare opportunity to set the data foundations for one of the most complex and consequential technology transformation programs in global financial services. Deep Custody and/or Fund Services domain knowledge is a prerequisite, not a preference. • Define, document, and own the Investor Services data publication architecture principles — governing data modelling standards, naming conventions, versioning strategies, API data contracts, and data quality rules across all IS technology domains., • Work with delivery leads across all 50+ IS platforms to define, document, and enforce standardized architecture patterns for data generation, transformation, and consumption — covering batch, near‑real‑time, and event‑driven data flows from source systems to downstream consumers., • Canonical Data Models & Dictionaries, • Personally lead and contribute to the creation of canonical data models, enterprise data dictionaries, and business glossaries for Custody and Fund Services domains — collaborating directly with business SMEs, operations leads, and delivery architects to reach consensus and lock down definitions., • Design and publish canonical message formats (JSON schemas, Avro), reference data samples, and integration contracts — providing platform teams with unambiguous, implementation‑ready data specifications that eliminate downstream interpretation risk., • Design and build shared data architecture utilities — including schema validators, data contract testing frameworks, data lineage trackers, canonical mapping accelerators, and code generators — that compress individual platform delivery timelines and enforce standards automatically., • Business & Tech Collaboration, • Serve as the primary bridge between business stakeholders and engineering teams on all data architecture decisions — facilitating working sessions, reviewing data model proposals, resolving conflicts, and driving timely sign‑off on data contracts across a complex, multi‑stakeholder program., • Data Governance & Lineage, • Establish data governance frameworks that cover data ownership, stewardship, classification, and lineage across IS platforms — ensuring regulatory auditability, data quality SLAs, and compliance with internal data management policies and external regulations., • Program Timeline Acceleration, • Proactively identify and remove data architecture bottlenecks that are blocking delivery across the IS program — using utility tooling, pre‑built reference architectures, and direct hands‑on contribution to unblock platform teams and compress overall program timelines., • 10 - 12+ years in technology, with at least 6 years in a data architecture, data engineering, or enterprise architecture role within financial services., • Demonstrable track record as a hands‑on data architect — directly authoring data models, schemas, and technical standards (not purely advisory)., • Experience defining data architectures for large‑scale, multi‑platform programs in a regulated financial institution., • Background working across complex, multi‑stakeholder environments requiring negotiation and consensus‑building on data definitions and contracts., • Experience delivering shared architectural tooling or utilities that improved delivery velocity at program scale., • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical discipline., • Expert‑level proficiency in data modelling techniques: conceptual, logical, and physical modelling; entity‑relationship (ERD) design; dimensional and normalized models., • Deep expertise in canonical data format design: JSON Schema, Avro, — including schema versioning, backward/forward compatibility, and evolution strategies., • Strong command of API design and data contract patterns: OpenAPI, AsyncAPI, consumer‑driven contract testing (Pact)., • Hands‑on experience with data lineage and cataloguing tools (Apache Atlas, Collibra, Alation, DataHub, or equivalent)., • Proficiency in event‑driven architecture and messaging platforms: Apache Kafka (schema registry, Avro serialization), Solace., • Working knowledge of cloud data platforms: Databricks, Snowflake, AWS (Glue, Lake Formation), Azure (Data Factory, Synapse), or GCP., • Ability to read and write production‑quality code in Python or Java — sufficient to build and contribute to data architecture utilities., • Familiarity with data quality frameworks, master data management (MDM), and metadata management best practices., • Custody: Deep understanding of asset servicing data — securities master, settlement instructions, positions, corporate actions, income events, and reconciliation data structures., • Fund Services: Working knowledge of fund accounting data models — NAV components, expense structures, investor registers, transaction data, and fund reporting data requirements., • Familiarity with industry data standards and messaging protocols: SWIFT (MT/MX, ISO 20022), FIX, FpML, and their data model implications., • Understanding of securities reference data: instrument master, issuer data, pricing, and the data management challenges at global scale., • Knowledge of post‑trade settlement data flows: DVP/FOP settlement, fail management, and the data hand‑offs between custody and counterparty systems., • Awareness of regulatory data requirements: SFTR reporting data fields, FATCA/CRS data requirements, and audit trail obligations in custody and fund services. Primary Location Full Time Salary Range: $176,720.00 - $265,080.00. In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. #J-18808-Ljbffr

At Citi Services - Global Trade Technology Organization, we are on a mission to harness the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. Our data team is at the heart of this mission, building the scalable and resilient infrastructure that turns data into our most valuable asset. We are a passionate, collaborative group dedicated to pushing the boundaries of what’s possible. Are you a seasoned data expert who loves to build as much as you love to lead? Do you believe that a great data culture is the foundation for a great data platform? We are looking for a Senior Data Engineering Lead to be a player‑coach for our talented data engineering team. This is a unique, high‑impact role for someone who is both a visionary architect and a hands‑on builder. You will not only design our next‑generation data architecture but also roll up your sleeves and write the code that brings it to life. More importantly, you will be the primary champion for a world‑class data engineering culture, setting the standard for technical excellence, innovation, and collaboration. You will lead by example, mentoring engineers, and establishing practices that empower the entire organization to build with data confidently. • Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real‑time streaming platforms on the cloud., • Build & Code: Act as a senior individual contributor and hands‑on technical leader. Write clean, maintainable, and high‑performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)., • Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment., • Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards., • Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long‑term data strategy and roadmap., • Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform., • Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams., • 10+ years of professional experience in data engineering, with a proven track record of designing and building large‑scale data systems., • 3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers., • Expert‑level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills., • Proven hands‑on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development., • Deep, hands‑on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)., • Extensive hands‑on experience with modern big data technologies and data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)., • Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect., • Proficiency in designing and implementing microservices architectures, RESTful APIs, and event‑driven systems with ‘Data as a Product’ Principle., • Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads., • Deep understanding and hands‑on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)., • Experience building and maintaining CI/CD pipelines for data applications (e.g., using Jenkins, GitLab CI, GitHub Actions)., • Experience with AI technologies including coding assistants like Microsoft Copilot, Calude Code, and Devin., • A passionate advocate for software engineering best practices and a deep‑seeded belief in the importance of a strong, positive engineering culture., • Collaborative and capable of bridging the gap between Business, Technology, and Analytics teams., • Experience managing global technology teams., • Working knowledge of industry & Citi practices and standards., • Consistently demonstrates clear and concise written and verbal communication., • Exceptional communication skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences., • Bachelor’s degree/University degree or equivalent experience, • Master’s degree preferred Jersey City New Jersey United States $176,720.00 - $265,080.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. May 16, 2026 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. #J-18808-Ljbffr

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. • Define and evolve platform architecture strategy for applications and services supporting Custody, Wealth, and Asset Management capabilities., • Translate business priorities, operating model objectives, and regulatory requirements into scalable architecture roadmaps., • Produce architecture blueprints, target‑state designs, integration patterns, and modernization strategies., • Ensure alignment to enterprise architecture principles, security standards, resiliency expectations, and engineering best practices., • Lead architecture reviews and provide technical governance across solution design, delivery, and platform evolution., • Partner with business and product stakeholders to understand workflows, operating models, pain points, and transformation opportunities across:, • Custody operations and servicing, • Asset servicing, • Portfolio administration, • Wealth platforms and advisory capabilities, • Asset management data and investment workflows, • Client reporting, accounting, reconciliation, and operational controls, • Apply domain understanding to improve platform design, data flow, interoperability, and operational efficiency., • Support simplification and modernization of legacy workflows and platforms in highly controlled financial environments., • Remain actively involved in engineering and solution delivery, including prototyping, design validation, code reviews, technical troubleshooting, and implementation guidance., • Work with engineering teams on API design, system integration, event‑driven architecture, data patterns, cloud deployment models, and observability., • Contribute to reference implementations, proof of concepts, and reusable architecture patterns., • Help teams solve complex production, performance, scalability, and integration issues., • Cloud, Data, and AI Enablement, • Design and support deployment of applications and platforms on Azure and/or AWS., • Drive adoption of cloud‑native services, containerization, infrastructure automation, and resilient distributed architecture patterns., • Partner with data teams to design robust data architecture, data pipelines, metadata strategies, and analytics‑ready platforms., • Identify and shape use cases for AI/GenAI capabilities, including knowledge retrieval, intelligent workflow support, summarization, classification, and operational productivity improvements., • Ensure AI‑enabled solutions are practical, governed, secure, and aligned to enterprise standards., • Champion engineering excellence including automation, CI/CD, testing, reliability, security‑by‑design, and performance optimization., • Drive modernization of legacy applications into modular, API‑led, event‑enabled, and cloud‑compatible platforms., • Promote best practices in software design, observability, resiliency, release management, and operational readiness., • Collaborate with platform, infrastructure, security, and SRE teams to enable stable and scalable production ecosystems., • Work cross‑functionally with architects, engineers, platform leads, data teams, cyber/security teams, and business leaders., • Communicate architecture decisions clearly to both technical and non‑technical audiences., • Mentor engineers and junior architects, raising technical capability across teams., • Influence strategic technology decisions through expertise, credibility, and delivery focus., • Strong experience in platform architecture, solution architecture, and distributed systems design., • Proven ability to design and deliver microservices and service‑oriented architectures, event‑driven systems, API‑first platforms, high‑availability and resilient systems, scalable batch and real‑time processing solutions., • Deep understanding of integration patterns, application decomposition, and modernization approaches., • Strong software engineering background with ability to engage in hands‑on technical work., • Hands‑on experience with Azure and/or AWS, including compute, storage, networking, and managed services, cloud‑native application design, Kubernetes/container platforms, infrastructure as Code, deployment automation, security and identity integration, cost, resilience, and operational design considerations., • Strong understanding of data architecture and engineering patterns., • Experience with data modeling, data integration and transformation pipelines, metadata and lineage concepts, data quality and governance considerations, analytical and operational data use cases., • Ability to architect platforms that support both transactional and analytical workloads., • Practical exposure to AI and GenAI, such as integrating AI/ML or GenAI capabilities into enterprise workflows, retrieval‑augmented generation or knowledge retrieval patterns, LLM‑enabled search, summarization, classification, or assistant use cases., • Responsible AI, model governance, and secure enterprise adoption considerations., • Working with structured and unstructured data to support intelligent applications., • 15+ years in architecture and engineering roles within financial services or similarly complex regulated industries., • Demonstrated experience delivering technology solutions in Custody, Wealth, and/or Asset Management., • Track record of leading architecture for complex enterprise platforms and transformation initiatives., • Experience balancing strategic design with practical implementation detail., • Experience working in Agile/product‑centric delivery environments., • Strong stakeholder engagement skills across business, operations, and technology teams., • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline., • Advanced degree preferred but not required., • Highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy., • Access to flexible global resources and tools for life’s journey., • Focus on health, personal resilience, and financial goals as a valued team member., • Generous paid leaves, including paid volunteer time. BNY is an Equal Employment Opportunity/Affirmative Action Employer — Underrepresented racial and ethnic groups, Females, Individuals with Disabilities, Protected Veterans. Base salary for this position is expected to be between $136,500 and $275,000 per year at the commencement of employment. Additional compensation may include commission earnings, discretionary bonuses, short‑ and long‑term incentive packages, and company‑sponsored benefit programs. This position is at‑will, and the Company reserves the right to modify base and any other discretionary payment or compensation at any time. #J-18808-Ljbffr

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We are seeking a hands‑on Platform Architect with strong domain expertise across Custody, Wealth, and Asset Management to define, shape, and deliver modern platform architecture aligned to business and technology strategy. This role requires deep architectural capability combined with practical engineering credibility. The successful candidate will be expected to work closely with product, engineering, operations, data, and business stakeholders to design scalable, resilient, secure, and high‑performing solutions across critical platforms. This is not a purely conceptual architecture role. We are looking for someone who remains technically hands‑on, can guide engineering teams through complex implementation decisions, and is comfortable engaging from strategy through execution. Architecture Leadership: • Define and evolve platform architecture strategy for applications and services supporting Custody, Wealth, and Asset Management capabilities., • Translate business priorities, operating model objectives, and regulatory requirements into scalable architecture roadmaps., • Produce architecture blueprints, target‑state designs, integration patterns, and modernization strategies., • Ensure alignment to enterprise architecture principles, security standards, resiliency expectations, and engineering best practices., • Lead architecture reviews and provide technical governance across solution design, delivery, and platform evolution. Domain & Business Alignment: • Partner with business and product stakeholders to understand workflows, operating models, pain points, and transformation opportunities across:, • Custody operations and servicing, • Asset servicing, • Portfolio administration, • Wealth platforms and advisory capabilities, • Asset management data and investment workflows, • Client reporting, accounting, reconciliation, and operational controls, • Apply domain understanding to improve platform design, data flow, interoperability, and operational efficiency., • Support simplification and modernization of legacy workflows and platforms in highly controlled financial environments. Hands-On Technical Delivery: • Remain actively involved in engineering and solution delivery, including prototyping, design validation, code reviews, technical troubleshooting, and implementation guidance., • Work with engineering teams on API design, system integration, event-driven architecture, data patterns, cloud deployment models, and observability., • Contribute to reference implementations, proof of concepts, and reusable architecture patterns., • Help teams solve complex production, performance, scalability, and integration issues., • Cloud, Data, and AI Enablement:, • Design and support deployment of applications and platforms on Azure and/or AWS., • Drive adoption of cloud-native services, containerization, infrastructure automation, and resilient distributed architecture patterns., • Partner with data teams to design robust data architecture, data pipelines, metadata strategies, and analytics‑ready platforms., • Identify and shape use cases for AI / GenAI capabilities, including knowledge retrieval, intelligent workflow support, summarization, classification, and operational productivity improvements., • Ensure AI‑enabled solutions are practical, governed, secure, and aligned to enterprise standards. Engineering Excellence & Modernization: • Champion engineering excellence including automation, CI/CD, testing, reliability, security‑by‑design, and performance optimization., • Drive modernization of legacy applications into modular, API‑led, event‑enabled, and cloud‑compatible platforms., • Promote best practices in software design, observability, resiliency, release management, and operational readiness., • Collaborate with platform, infrastructure, security, and SRE teams to enable stable and scalable production ecosystems. Collaboration & Influence: • Work cross‑functionally with architects, engineers, platform leads, data teams, cyber/security teams, and business leaders., • Communicate architecture decisions clearly to both technical and non‑technical audiences., • Mentor engineers and junior architects, raising technical capability across teams., • Influence strategic technology decisions through expertise, credibility, and delivery focus., • Core Architecture & Engineering, • Strong experience in platform architecture, solution architecture, and distributed systems design, • Proven ability to design and deliver:, • Microservices and service‑oriented architectures, • Event‑driven systems, • API‑first platforms, • High‑availability and resilient systems, • Scalable batch and real‑time processing solutions, • Deep understanding of integration patterns, application decomposition, and modernization approaches, • Strong software engineering background with ability to engage in hands‑on technical work, • Hands‑on experience with Azure and/or AWS, including some combination of:, • Compute, storage, networking, and managed services, • Cloud‑native application design, • Kubernetes / container platforms, • Infrastructure as Code, • Deployment automation, • Security and identity integration, • Cost, resilience, and operational design considerations in cloud environments, • Strong understanding of data architecture and engineering patterns, • Experience with:, • Data modeling, • Data integration and transformation pipelines, • Metadata and lineage concepts, • Data quality and governance considerations, • Analytical and operational data use cases, • Ability to architect platforms that support both transactional and analytical workloads, • Practical exposure to AI and GenAI, such as:, • Integrating AI/ML or GenAI capabilities into enterprise workflows, • Retrieval‑augmented generation or knowledge retrieval patterns, • LLM‑enabled search, summarization, classification, or assistant use cases, • Responsible AI, model governance, and secure enterprise adoption considerations, • Working with structured and unstructured data to support intelligent applications, • 15 plus years in architecture and engineering roles within financial services or similarly complex regulated industries, • Demonstrated experience delivering technology solutions in Custody, Wealth, and/or Asset Management, • Track record of leading architecture for complex enterprise platforms and transformation initiatives, • Experience balancing strategic design with practical implementation detail, • Experience working in Agile / product‑centric delivery environments, • Strong stakeholder engagement skills across business, operations, and technology teams, • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline, • Advanced degree preferred but not required BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay‑for‑performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups / Females / Individuals with Disabilities / Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $136,500 and $275,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long‑term incentive packages, and company‑ sponsored benefit programs. This position is at‑will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team. #J-18808-Ljbffr

• Portfolio administration At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what is all about. Join us and be part of something extraordinary. Architecture Leadership: • Define and evolve platform architecture strategy for applications and services supporting Custody, Wealth, and Asset Management capabilities., • Translate business priorities, operating model objectives, and regulatory requirements into scalable architecture roadmaps., • Produce architecture blueprints, target-state designs, integration patterns, and modernization strategies., • Ensure alignment to enterprise architecture principles, security standards, resiliency expectations, and engineering best practices., • Lead architecture reviews and provide technical governance across solution design, delivery, and platform evolution., • Partner with business and product stakeholders to understand workflows, operating models, pain points, and transformation opportunities across:, • Custody operations and servicing, • Asset servicing, • Portfolio administration, • Wealth platforms and advisory capabilities, • Asset management data and investment workflows, • Client reporting, accounting, reconciliation, and operational controls, • Apply domain understanding to improve platform design, data flow, interoperability, and operational efficiency., • Support simplification and modernization of legacy workflows and platforms in highly controlled financial environments., • Remain actively involved in engineering and solution delivery, including prototyping, design validation, code reviews, technical troubleshooting, and implementation guidance., • Work with engineering teams on API design, system integration, event-driven architecture, data patterns, cloud deployment models, and observability., • Contribute to reference implementations, proof of concepts, and reusable architecture patterns., • Help teams solve complex production, performance, scalability, and integration issues., • Cloud, Data, and AI Enablement, • Design and support deployment of applications and platforms on Azure and/or AWS., • Drive adoption of cloud-native services, containerization, infrastructure automation, and resilient distributed architecture patterns., • Partner with data teams to design robust data architecture, data pipelines, metadata strategies, and analytics-ready platforms., • Identify and shape use cases for AI / GenAI capabilities, including knowledge retrieval, intelligent workflow support, summarization, classification, and operational productivity improvements., • Ensure AI-enabled solutions are practical, governed, secure, and aligned to enterprise standards., • Champion engineering excellence including automation, CI/CD, testing, reliability, security-by-design, and performance optimization., • Drive modernization of legacy applications into modular, API-led, event-enabled, and cloud-compatible platforms., • Promote best practices in software design, observability, resiliency, release management, and operational readiness., • Collaborate with platform, infrastructure, security, and SRE teams to enable stable and scalable production ecosystems., • Work cross-functionally with architects, engineers, platform leads, data teams, cyber/security teams, and business leaders., • Communicate architecture decisions clearly to both technical and non-technical audiences., • Mentor engineers and junior architects, raising technical capability across teams., • Influence strategic technology decisions through expertise, credibility, and delivery focus. The ideal candidate should be able to connect business processes to technology architecture and understand the operational and control requirements typical of regulated financial services environments. • Core Architecture & Engineering, • Strong experience in platform architecture, solution architecture, and distributed systems design, • Proven ability to design and deliver:, • Microservices and service-oriented architectures, • Event-driven systems, • API-first platforms, • High-availability and resilient systems, • Scalable batch and real-time processing solutions, • Deep understanding of integration patterns, application decomposition, and modernization approaches, • Strong software engineering background with ability to engage in hands-on technical work, • Hands-on experience with Azure and/or AWS, including some combination of:, • Compute, storage, networking, and managed services, • Cloud-native application design, • Kubernetes / container platforms, • Infrastructure as Code, • Deployment automation, • Security and identity integration, • Cost, resilience, and operational design considerations in cloud environments, • Strong understanding of data architecture and engineering patterns, • Experience with:, • Data modeling, • Data integration and transformation pipelines, • Metadata and lineage concepts, • Data quality and governance considerations, • Analytical and operational data use cases, • Ability to architect platforms that support both transactional and analytical workloads, • Practical exposure to AI and GenAI, such as, • Integrating AI/ML or GenAI capabilities into enterprise workflows, • Retrieval-augmented generation or knowledge retrieval patterns, • LLM-enabled search, summarization, classification, or assistant use cases, • Responsible AI, model governance, and secure enterprise adoption considerations, • Working with structured and unstructured data to support intelligent applications, • 15 plus years in architecture and engineering roles within financial services or similarly complex regulated industries, • Demonstrated experience delivering technology solutions in Custody, Wealth, and/or Asset Management, • Track record of leading architecture for complex enterprise platforms and transformation initiatives, • Experience balancing strategic design with practical implementation detail, • Experience working in Agile / product-centric delivery environments, • Strong stakeholder engagement skills across business, operations, and technology teams, • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline, • Advanced degree preferred but not required At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 Most Just Companies, Just Capital and CNBC, 2025 BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans. BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $136,500 and $275,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and company-sponsored benefit programs. This position is at‑will and the Company reserves the right to modify base (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team. #J-18808-Ljbffr

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. We are seeking a senior Solution Architect to lead pre‑sales and customer‑facing technical engagements, design end‑to‑end cloud and data platform architectures, and act as a trusted advisor for enterprise clients. The role focuses on translating business needs into scalable, secure solutions across cloud, data, analytics, and AI/GenAI platforms, while supporting sales cycles through architecture design, demos, POCs, and thought leadership. • Lead technical discovery sessions to understand customer requirements, challenges, environments, and desired outcomes., • Conduct architecture reviews, platform assessments, and requirement‑mapping workshops., • Build trusted relationships with customer architects, engineering teams, and business stakeholders., • Design end‑to‑end architectures across cloud, data, integration, analytics, and application platforms., • Create solution blueprints, high‑level designs, and technical roadmaps aligned with customer objectives., • Evaluate customer environments and recommend modernization strategies, cloud migration paths, and architectural patterns., • Ensure proposed solutions follow best practices for scalability, performance, security, and governance., • Own the technical solution during the sales cycle, collaborating closely with sales executives to shape win strategies., • Develop and deliver product demonstrations, proofs‑of‑concept (POCs), and tailored technical presentations., • Contribute to RFP/RFI responses, solution write‑ups, architecture diagrams, and effort estimations., • Translate complex technical topics into clear, compelling value propositions for business and executive stakeholders., • Partner with delivery, product, and engineering teams to ensure solution feasibility and alignment with capabilities., • Mentor junior solution engineers and support internal knowledge‑sharing initiatives., • Provide market feedback to product and leadership teams to influence roadmap decisions., • Support go‑to‑market initiatives, industry events, webinars, and customer workshops as a technical subject matter expert., • Stay current with emerging technologies, cloud capabilities, and architectural best practices., • Develop reusable solution patterns, frameworks, and technical collateral for sales acceleration., • Represent the organization as a trusted technical advisor in customer and industry engagements., • Develop and deliver dashboards and reports using Power BI and Tableau., • Bachelor’s or master’s degree in computer science, Engineering, Information Systems, or related field., • 12+ years of experience in solution architecture, pre‑sales engineering, consulting, or technical leadership roles., • Hands‑on experience with cloud platforms (Azure, AWS, GCP) and modern architectural frameworks., • Proven experience of data platforms (Microsoft Fabric, Snowflake or Databricks), analytics, integration patterns, APIs, and application architectures., • Strong understanding of AI/GenAI data workflows, feature engineering, and architecture patterns., • Ability to design and articulate high‑level and detailed architectures for enterprise use cases., • Exceptional presentation, communication, and storytelling skills tailored to both technical and executive audiences., • Strong problem‑solving abilities and the capability to guide customers through complex solution decisions., • Experience running demos, POCs, and technical evaluations during sales cycles., • Strong stakeholder management and consulting skills, with a customer‑first mindset., • Proficiency in creating interactive dashboards and reports using Power BI and Tableau. Orion is an equal‑opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status or any other characteristic protected by law. #J-18808-Ljbffr

Are you passionate about shaping the future of technology and driving transformative business impact in financial services? Join JPMorganChase as a Senior Lead Architect and help us deliver innovative, high-quality solutions that leverage advanced AI, machine learning, and data engineering capabilities. As a Senior Lead Architect at JPMorgan Chase within the Corporate Technology Data Strategy & Architecture organization, you will play a pivotal role in designing and governing enterprise-scale architecture solutions for software applications and platform products. You will drive significant business impact by architecting next-generation AI/ML systems, influencing technology direction, and ensuring our solutions meet the highest standards of security, resiliency, and regulatory compliance. • Represent product families in technical governance bodies, proposing enhancements to architecture governance and AI risk management practices., • Provide strategic technical guidance to business stakeholders, engineering teams, contractors, and vendors, fostering a collaborative and innovative environment., • Leverage enterprise-authorized AI/ML capabilities—including LLMs, agentic systems, and embedding pipelines—to accelerate architecture analysis, decisioning, and solution delivery, with robust human-in-the-loop validation and sensitive data handling., • Guide evaluation and integration of current and emerging technologies, influencing peers and decision-makers to adopt leading-edge AI/ML and cloud-native solutions., • Drive architectural decisions impacting product design, application functionality, and technical operations, with a focus on AI-enabled engineering patterns and governance., • Develop secure, high-quality production code for data-intensive and AI-driven applications; review and debug code written by others to ensure best practices., • Serve as a subject matter expert in data engineering, platform architecture, and AI/ML, actively contributing to the engineering community and advocating firmwide SDLC frameworks., • Establish and govern reuse-first, AI-enabled engineering patterns across SDLC/toolchain practices, ensuring traceability, auditability, resiliency, and security controls., • Architect and govern agentic AI systems—including multi-agent workflows, tool-use patterns, and human-in-the-loop controls—suitable for regulated financial services environments., • Lead AI risk governance design, observability, and ability to explain requirements for production AI systems, shaping enterprise approaches to AI agent orchestration, inter-agent communication, and state management at scale., • Formal training or certification on architecture concepts and 5+ years applied experience in AI/ML, cloud, and data engineering, • Minimum 12+ years of hands‑on experience in system design, application development, testing, and operational stability., • Demonstrated expertise in designing and deploying production AI/ML systems, including LLM-based applications, embedding pipelines, vector stores, and agentic architectures with tool use, memory, and multi-step reasoning., • Experience evaluating model outputs for safety, accuracy, and latency in regulated environments., • Advanced proficiency in programming languages such as Java and Python., • Deep knowledge of software architecture, applications, and technical processes within disciplines such as cloud, artificial intelligence, machine learning, and data engineering., • Working knowledge of relational and NoSQL databases, data lake architectures, and large‑scale data processing technologies (e.g., Spark/PySpark, Databricks, Snowflake)., • Experience with microservices, API design, Kafka, Redis, Memcached, observability tools (Dynatrace, Splunk, Grafana), and orchestration tools (Airflow, Temporal)., • Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures, meeting resiliency, security, and auditability requirements., • Practical cloud-native experience and ability to tackle complex design and functionality challenges independently., • Strong judgment and communication skills to influence technical direction across teams and stakeholders., • Experience with modern data technologies such as Databricks or Snowflake., • Hands‑on experience with LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or equivalent) and model serving infrastructure (Triton, AWS Bedrock, Azure Open AI)., • Familiarity with AI evaluation and observability—red‑teaming, evals frameworks, prompt drift detection, and cost/latency monitoring for LLM workloads., • Understanding of agentic design patterns: React, plan‑and‑execute, reflection loops, and how to constrain agent autonomy in high‑stakes financial workflows., • Awareness of the AI regulatory landscape in financial services, especially regarding AI use in decision-making., • Knowledge of the financial services industry and their IT systems. #J-18808-Ljbffr

Are you passionate about shaping the future of technology and driving transformative business impact in financial services? Join JPMorganChase as a Senior Lead Architect and help us deliver innovative, high-quality solutions that leverage advanced AI, machine learning, and data engineering capabilities. As a Senior Lead Architect at JPMorgan Chase within the Corporate Technology Data Strategy & Architecture organization, you will play a pivotal role in designing and governing enterprise-scale architecture solutions for software applications and platform products. You will drive significant business impact by architecting next‑generation AI/ML systems, influencing technology direction, and ensuring our solutions meet the highest standards of security, resiliency, and regulatory compliance. • Represent product families in technical governance bodies, proposing enhancements to architecture governance and AI risk management practices., • Provide strategic technical guidance to business stakeholders, engineering teams, contractors, and vendors, fostering a collaborative and innovative environment., • Leverage enterprise-authorized AI/ML capabilities—including LLMs, agentic systems, and embedding pipelines—to accelerate architecture analysis, decisioning, and solution delivery, with robust human-in-the-loop validation and sensitive data handling., • Guide evaluation and integration of current and emerging technologies, influencing peers and decision-makers to adopt leading‑edge AI/ML and cloud‑native solutions., • Drive architectural decisions impacting product design, application functionality, and technical operations, with a focus on AI‑enabled engineering patterns and governance., • Develop secure, high‑quality production code for data‑intensive and AI‑driven applications; review and debug code written by others to ensure best practices., • Serve as a subject matter expert in data engineering, platform architecture, and AI/ML, actively contributing to the engineering community and advocating firmwide SDLC frameworks., • Establish and govern reuse‑first, AI‑enabled engineering patterns across SDLC/toolchain practices, ensuring traceability, auditability, resiliency, and security controls., • Architect and govern agentic AI systems—including multi‑agent workflows, tool‑use patterns, and human‑in‑the‑loop controls—suitable for regulated financial services environments., • Lead AI risk governance design, observability, and ability to explain requirements for production AI systems, shaping enterprise approaches to AI agent orchestration, inter‑agent communication, and state management at scale., • Formal training or certification on architecture concepts and 5+ years applied experience in AI/ML, cloud, and data engineering, • Minimum 12+ years of hands‑on experience in system design, application development, testing, and operational stability., • Demonstrated expertise in designing and deploying production AI/ML systems, including LLM‑based applications, embedding pipelines, vector stores, and agentic architectures with tool use, memory, and multi‑step reasoning., • Experience evaluating model outputs for safety, accuracy, and latency in regulated environments., • Advanced proficiency in programming languages such as Java and Python., • Deep knowledge of software architecture, applications, and technical processes within disciplines such as cloud, artificial intelligence, machine learning, and data engineering., • Working knowledge of relational and NoSQL databases, data lake architectures, and large‑scale data processing technologies (e.g., Spark/PySpark, Databricks, Snowflake)., • Experience with microservices, API design, Kafka, Redis, Memcached, observability tools (Dynatrace, Splunk, Grafana), and orchestration tools (Airflow, Temporal)., • Ability to evaluate and integrate AI‑enabled capabilities into enterprise‑grade architectures, meeting resiliency, security, and auditability requirements., • Practical cloud‑native experience and ability to tackle complex design and functionality challenges independently., • Strong judgment and communication skills to influence technical direction across teams and stakeholders., • Experience with modern data technologies such as Databricks or Snowflake., • Hands‑on experience with LLM orchestration frameworks (LangChain, LangGraph, CrewAI, or equivalent) and model serving infrastructure (Triton, AWS Bedrock, Azure Open AI)., • Familiarity with AI evaluation and observability—red‑team, evals frameworks, prompt drift detection, and cost/latency monitoring for LLM workloads., • Understanding of agentic design patterns: React, plan‑and‑execute, reflection loops, and how to constrain agent autonomy in high‑stakes financial workflows., • Awareness of the AI regulatory landscape in financial services, especially regarding AI use in decision‑making., • Knowledge of the financial services industry and their IT systems. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. • comprehensive health care coverage, • on‑site health and wellness centers, • a retirement savings plan, • backup childcare, • tuition reimbursement, • mental health support, • financial coaching and more Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

We are seeking a visionary and execution-oriented leader to serve as the Head of AI Integration & Operational Architecture. This role will own the design, integration, and operational architecture of theenterprise'sAI ecosystem—ensuring that AI capabilities are stable, scalable, and resilient. This leader will act as the system-level architect and integrator of AI across the enterprise, partnering closely with AI Engineering, Data, and AI Operations teams to enable AI at scale. The role sits at the intersection of platform architecture, product thinking, and operational reliability, transforming fragmented AI initiatives into a cohesive, enterprise-grade capability. • Influenceandmaintainthe end-to-end architecture of the AI ecosystem, including models, agents, orchestration layers, data pipelines, and platforms, • Enforceintegration patterns and standards across internal systems and third-party AI tools, • Rationalize and streamline the AI stack toeliminateduplication and fragmentation, • Architect how AI systemsoperatein production environments at scale, • Design for fault tolerance, graceful degradation, and human-in-the-loop workflows, • Influencepatterns for multi-model orchestration, routing, and fallback strategies, • Define SLA/SLO frameworks for AI systems in partnership with AI Operations, • Architect solutions for high availability,Disaster Recovery,performance, and failure containment, • Partner with AI Ops on incident response models, runbooks, and recovery strategies Define standards for model and AI capability lifecycle management, including: • Versioning and release management, • A/B testing and canary deployments, • Rollback and fail-safe mechanisms, • Drive consistency across teams building AI solutions, • Establish clear separation of responsibilities: architecture, integration, standards AI Ops: execution, monitoring, incident management, • Ensure seamless collaboration to deliver reliable, enterprise-grade AI systems, • Product Management for Observability, Monitoring & Telemetry including establishing enterprise-wide standards for AI observability, • Serve as the central authority on AI integration and operational architecture, • Influence senior stakeholders across Technology, Data, Risk, and Business units, • Drive alignment and adoption of enterprise AI standards, • University (Degree) Preferred, • 10+ Years Required 11PL • 10+ yearsin technology leadership roles, with deep experience in: Distributed systems architecture Platform engineering or SRE AI/ML systems at scale Proven track record of building and operating complex, enterprise platforms Integrating third-party and in-house AI/ML solutions, • 12–15+ years in technology leadership roles, with deep experience in: Distributed systems architecture Platform engineering or SRE AI/ML systems at scale Proven track record of building and operating complex, enterprise platforms Integrating third-party and in-house AI/ML solutions, • Strong understanding of: AI/ML ecosystems (LLMs, agents, pipelines) Cloud platforms (AWS, Azure, GCP) Data engineering and real-timearchitectures, • MLOps/LLMOpsframeworks Observability and monitoringtools API-driven and microservices architectures, • Systems thinker with the ability tooperateat enterprise scale andcomplexity, • Strongproduct mindset—treating AI capabilities as platforms, not projects, • Ability to influence without authority across federatedteams, • Balanceof strategic vision and hands‑onexecution, • Aunified, well-integrated AI ecosystem across the enterprise, • Improvedreliability, scalability, andperformancefor AI systems, • Reducedtool fragmentation and vendor sprawl, • Faster, safer deployment of AI capabilities, • Strong partnership with AI Ops, with clear accountability and no overlap Related SkillsApplication Programming Interface (API) Development/Integration, Cloud Platforms, Data Management, Domain-Driven Design, Enterprise Application Integration, Enterprise Architecture, Influence, Innovation, Problem Solving, Scalability/Reliability, Software as a Service (SaaS), Software Development, Strategic Planning, Systems Design/Analysis 2026-08-10Base Pay Range: $232,000/yr - $290,000/yr Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary incentive programs, non-annual sales incentive plans, or other non-annual incentive plans). Every worker deserves a secure retirement. For more than 100 years, TIAA has delivered it for millions of people. Founded to help educators retire with dignity, today weʼre a market-leading retirement company fueled by world-class asset management. But weʼre not just another legacy financial services firm. Weʼre fighting harder than ever before for our clients and the many Americans who need us. At TIAA, we're on a mission to build on our 100+ year legacy of delivering for our clients while evolving to meet tomorrow's challenges. We equip our associates with future-focused skills and AI tools that enable us to advance our mission. Together, we are fighting to ensure a more secure financial future for all and for generations to come. We are guided by our values: Champion Our People, Be Client Obsessed, Lead with Integrity, Own It, and Win As One. They influence every decision we make and how we work together to serve our clients every day. We thrive in a collaborative in‑office environment where teams work across organizational boundaries with shared purpose, accelerating innovation and delivering meaningful results. Our workplace brings together TIAA and Nuveen's entrepreneurial spirit, where we work hard and work together to create lasting impact. Here, every associate can grow through meaningful learning experiences and development pathways—because when our people succeed, our impact on clients' lives grows stronger. The organization is committed to making financial well-being possible for its clients, and is equally committed to the well-being of our associates. That’s why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being. To learn more about your benefits, please review our Benefits Summary. We are an Equal Opportunity Employer. TIAA does not discriminate against any candidate or employee on the basis of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other legally protected status. Our full EEO & Non-Discrimination statement is on our careers home page, and you can read more about your rights and view government notices here. TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities. If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: Phone: (800) 842-2755 Email: accessibility.support@tiaa.org TIAA maintains a drug-free and smoke/free workplace. For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here. For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here. ForApplicants of TIAA Global Capabilities, click here. For Applicants of Nuveen residing in Europe and APAC, please click here. #J-18808-Ljbffr

Driven by a commitment to collaboration, DNA partners with our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the "What's Next" in our industry and beyond. Our mission is to drive transformation and provide exceptional capabilities and service to the operating units. DNA Enterprise Reporting generates meaningful and measurable value by delivering insights for our customers, partners, and shareholders using data and analytics. Our vision is to enable operating unit profit and growth objectives by designing and delivering scalable solutions. With a culture centered on innovation and service stewardship, DNA stands as a community of leaders with eyes toward the future - leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. DNA offers endless ways to get involved and have the chance to grow your career into a wide range of roles. Come join us as we push forward into the future of industry leading technology and service solutions. Company URL: https://www.berkley.com/ The company is an equal opportunity employer. We are seeking an exceptional Principal Data Scientist who is part deep technologist, part entrepreneur, and part strategic innovator. This is not a traditional analytics role, it is built for a builder. You will own the full lifecycle of high-impact AI/ML solutions, from whiteboard to production, writing substantial code and driving rigorous analysis that directly shapes enterprise decisions. Sitting at the intersection of advanced machine learning, software engineering, and business strategy, you will architect and ship production-grade AI systems across underwriting, claims, operations, and finance. • Own the code, not just the model: Design, write, test, and deploy production-grade ML and AI systems using Python, modern ML frameworks, and cloud-native tooling., • Build generative AI & LLM-powered solutions: Architect and implement RAG pipelines, fine-tuning workflows, agentic systems, and LLM evaluation harnesses., • Engineer scalable ML pipelines: Develop robust feature engineering, training, inference, and monitoring pipelines built for reliability and scale., • Ship end-to-end: Take models from prototype through CI/CD into monitored production environments, including automated retraining and drift detection., • Lead complex analytical investigations: Apply causal inference, Bayesian modeling, survival analysis, and simulation to solve high-stakes business problems., • Translate ambiguity to impact: Frame undefined problems with entrepreneurial clarity: define success metrics, scope solutions, and move from question to insight at speed., • Ensure reproducibility and rigor: Establish standards for experiment tracking, version control, and model validation aligned with enterprise governance requirements., • Shape the AI/ML platform: Evaluate and recommend tools, frameworks, and cloud services (Azure ML, Databricks, MLflow, etc.) that form the backbone of enterprise AI capability., • Establish reusable accelerators: Build and document shared libraries, templates, and design patterns that multiply team productivity across the data science community., • Drive MLOps excellence: Define and enforce best practices for model governance, monitoring, A/B testing, and lifecycle management in production., • Architect for the long term: Make principled trade-offs between build vs. buy, speed vs. rigor, and experimentation vs. standardization., • Rapidly prototype and validate: Move from idea to working proof-of-concept in days, not months using experimentation to de-risk investment before scaling., • Influence enterprise standards: Shape the organization's model development, validation, and deployment standards as a principal-level technical authority., • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a closely related quantitative field., • Master's or PhD preferred, • 10+ years of hands-on experience in applied machine learning, data science, or AI engineering not just analytics. Demonstrated track record of shipping ML models and AI systems to production, including ownership of monitoring and maintenance., • Experience leading complex, end-to-end data science projects from problem definition through deployment and business impact measurement., • Proven ability to influence technical direction and strategy without direct management authority., • Python (expert-level): NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow, Hugging Face, LangChain/LlamaIndex or equivalent., • ML Engineering: Feature stores, model registries (MLflow), experiment tracking, CI/CD for ML, containerization (Docker/Kubernetes)., • LLMs & Generative AI: Prompt engineering, RAG architecture, fine-tuning, evaluation frameworks, and agentic workflow design., • SQL & Data Engineering: Complex query optimization, dbt or similar, working fluently with Spark or Databricks., • Cloud Platforms: Azure ML preferred; AWS SageMaker or GCP Vertex AI experience, • Statistics & ML Foundations: Regression, classification, clustering, time-series, Bayesian methods, causal inference, and model interpretability (SHAP, LIME)., • Software Engineering Practices: Git, code review, unit testing, design patterns you write code that others can maintain., • Experience in financial services, insurance, or other regulated industries with model risk management requirements., • Contributions to open-source ML projects, • Experience building and operating real-time inference systems (low-latency APIs, streaming prediction pipelines)., • Familiarity with model governance frameworks and regulatory requirements, • Experience with agentic AI systems, multi-modal models, or domain-adapted LLMs in an enterprise context., • Background in agile/product-oriented analytics teams with sprint-based delivery. We do not accept any unsolicited resumes from external recruiting agencies or firms. The company offers a competitive compensation plan and robust benefits package for full time regular employees which for this role include: • Base Salary Range: $200,000 - $300,000, • Eligible to participate in annual discretionary bonus., • Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Sponsorship not Offered for this Role #J-18808-Ljbffr

Job ID: 25207634Reference Number: 25-00237Title: Lead Azure ArchitectLocation: Iselin, NJ, 08830Posted Date: 2025-04-02Company: HAN Staffing Lead Azure Architect.

Job ID: 97130417600Posted: 2026-07-13Location: Jersey City, New Jersey, United StatesSalary: $176,720.00 - $265,080.00Category: Technology, Applications Development, ProfessionalCompany: CitiCiti's Investor Services Technology group is seeking a technically exceptional and domain-savvy Data Architect to serve as the definitive data architecture authority across the Investor Services (IS) program — spanning Custody, Fund Administration, and Securities Finance.This is explicitly a hands-on architect role. The successful candidate will be expected to write, review, and validate architecture artifacts, data models, canonical schemas, and technical standards. You will be embedded with delivery teams, working directly with business analysts, data engineers, and technology leads to produce production-quality data architecture outputs that the entire IS program depends on.You will also lead the design and delivery of a suite of data architecture utilities — reusable tooling, accelerators, and automation that dramatically compress the time to deliver consistent, standards-compliant data integrations across Investor Services platforms. This role is a rare opportunity to set the data foundations for one of the most complex and consequential technology transformation programs in global financial services. Deep Custody and/or Fund Services domain knowledge is a prerequisite, not a preference.Responsibilities:Data Architecture Principles & StandardsDefine, document, and own the Investor Services data publication architecture principles — governing data modelling standards, naming conventions, versioning strategies, API data contracts, and data quality rules across all IS technology domains.Architecture Pattern StandardizationWork with delivery leads across all 50+ IS platforms to define, document, and enforce standardized architecture patterns for data generation, transformation, and consumption — covering batch, near-real-time, and event-driven data flows from source systems to downstream consumers.Canonical Data Models & DictionariesPersonally lead and contribute to the creation of canonical data models, enterprise data dictionaries, and business glossaries for Custody and Fund Services domains — collaborating directly with business SMEs, operations leads, and delivery architects to reach consensus and lock down definitions.Canonical Formats & SamplesDesign and publish canonical message formats (JSON schemas, Avro), reference data samples, and integration contracts — providing platform teams with unambiguous, implementation-ready data specifications that eliminate downstream interpretation risk.Data Architecture UtilitiesDesign and build shared data architecture utilities — including schema validators, data contract testing frameworks, data lineage trackers, canonical mapping accelerators, and code generators — that compress individual platform delivery timelines and enforce standards automatically.Business & Tech CollaborationServe as the primary bridge between business stakeholders and engineering teams on all data architecture decisions — facilitating working sessions, reviewing data model proposals, resolving conflicts, and driving timely sign-off on data contracts across a complex, multi-stakeholder program.Data Governance & LineageEstablish data governance frameworks that cover data ownership, stewardship, classification, and lineage across IS platforms — ensuring regulatory auditability, data quality SLAs, and compliance with internal data management policies and external regulations.Program Timeline AccelerationProactively identify and remove data architecture bottlenecks that are blocking delivery across the IS program — using utility tooling, pre-built reference architectures, and direct hands-on contribution to unblock platform teams and compress overall program timelines.Experience:10 - 12+ years in technology, with at least 6 years in a data architecture, data engineering, or enterprise architecture role within financial servicesDemonstrable track record as a hands-on data architect— directly authoring data models, schemas, and technical standards (not purely advisory)Experience defining data architectures for large-scale, multi-platform programs in a regulated financial institutionBackground working across complex, multi-stakeholder environments requiring negotiation and consensus-building on data definitions and contractsExperience delivering shared architectural tooling or utilities that improved delivery velocity at program scaleEducation:Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical disciplineTechnical Skills:Expert-level proficiency in data modelling techniques: conceptual, logical, and physical modelling; entity-relationship (ERD) design; dimensional and normalized modelsDeep expertise in canonical data format design: JSON Schema, Avro, — including schema versioning, backward/forward compatibility, and evolution strategiesStrong command of API design and data contract patterns: OpenAPI, AsyncAPI, consumer-driven contract testing (Pact)Hands-on experience with data lineage and cataloguing tools (Apache Atlas, Collibra, Alation, DataHub, or equivalent)Proficiency in event-driven architecture and messaging platforms: Apache Kafka (schema registry, Avro serialization), SolaceWorking knowledge of cloud data platforms: Databricks, Snowflake, AWS (Glue, Lake Formation), Azure (Data Factory, Synapse), or GCPAbility to read and write production-quality code in Python or Java — sufficient to build and contribute to data architecture utilitiesFamiliarity with data quality frameworks, master data management (MDM), and metadata management best practicesDomain Knowledge:Custody:Deep understanding of asset servicing data — securities master, settlement instructions, positions, corporate actions, income events, and reconciliation data structuresFund Services:Working knowledge of fund accounting data models — NAV components, expense structures, investor registers, transaction data, and fund reporting data requirementsFamiliarity with industry data standards and messaging protocols: SWIFT (MT/MX, ISO 20022), FIX, FpML, and their data model implicationsUnderstanding of securities reference data: instrument master, issuer data, pricing, and the data management challenges at global scaleKnowledge of post-trade settlement data flows: DVP/FOP settlement, fail management, and the data hand-offs between custody and counterparty systemsAwareness of regulatory data requirements: SFTR reporting data fields, FATCA/CRS data requirements, and audit trail obligations in custody and fund servicesEducation:Bachelor's degree or equivalent experience------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family:Applications Development------------------------------------------------------Time Type:Full time------------------------------------------------------Primary Location:Jersey City New Jersey United States------------------------------------------------------Primary Location Full Time Salary Range:$176,720.00 - $265,080.00In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Anticipated Posting Close Date:Jul 06, 2026------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.

Role: Denodo Tech LeadLocation:- Newark NJ onsiteVertical – InsuranceJob description: Denodo Tech Lead to architect, design, and manage our data virtualization platform. You will lead a technical team to integrate disparate data sources and deliver real-time data solutions.Key ResponsibilitiesArchitect real-time data virtualization solutions using Denodo.Lead a team of developers through design and deployment phases.Design high-performance VDP (Virtual Data Port) views and data models.Optimize complex query performance, caching strategies, and execution plans.Configure Denodo platform security, policies, and role-based access controls.Integrate Denodo with diverse sources like cloud warehouses, APIs, and NoSQL.Establish development best practices, code reviews, and CI/CD pipelines.QualificationsExperience: 7+ years in data engineering, with 3+ years specifically leading Denodo projects.Technical Skills: Strong SQL, data modeling, API integration (REST/SOAP), and Java/Python.Platform Knowledge: Deep expertise in Denodo architecture, caching, and performance tuning.Cloud Platforms: Experience with AWS, Azure, or Google Cloud Platform.Leadership: Proven track record of mentoring developers and managing deliverables.Education: Bachelor’s degree in Computer Science, IT, or a related field.Applicant Notices & DisclaimersFor information on benefits, equal opportunity employment, and location-specific applicant notices, click here

Drive modernization for critical banking operations on Cash & Check Management team within Operations. If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions. As a Senior Lead Architect at JPMorgan Chase within the Consumer & Community Banking Operations Technology team, you are an integral part of a group that designs and delivers high-quality architecture solutions for software applications and platform products. In this role, you serve as the Architecture Lead for the Cash and Check Management product in Consumer & Community Banking Operations Technology, promoting modernization efforts and supporting a critical banking function that impacts the entire firm. You leverage deep expertise across multiple architecture domains to shape the target-state architecture, deliver significant business value, and ensure the scalability, resilience, and strategic alignment of the firm's technology landscape. Job responsibilities: • Lead the architectural design and modernization of critical banking operations within Consumer & Community BankingOperations Technology, • Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data., • Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls., • Define and drive target state architecture for critical banking functions, • Ensure alignment of technology solutions with business objectives and regulatory requirements, • Mentor and guide engineering teams on best practices and architectural standards, • Evaluate emerging technologies and recommend adoption where appropriate, • Develop and maintain architectural documentation and roadmaps, • Support incident resolution and root cause analysis for architecture-related issues, • Partner with stakeholders to prioritize and deliver impactful technology initiatives, • Promote innovation and continuous improvement within the architecture team Required qualifications, capabilities, and skills: • Formal training or certification on software engineering concepts and 5+ years applied experience, • Proven experience in designing and implementing enterprise-scale architecture solutions, • Strong knowledge of modernization strategies for legacy systems, • Expertise in cloud technologies and distributed systems, • Experience with banking operations and financial services technology, • Demonstrated experience applying enterprise-authorized AI capabilities within the work environment in architecture and engineering workflows with strong validation habits and awareness of data sensitivity., • Ability to evaluate and integrate AI-enabled capabilities into enterprise-grade architectures while meeting resiliency, security, and auditability requirements., • Strong communication and stakeholder management abilities, • Familiarity with regulatory and compliance requirements in financial services, • Experience with Agile and DevOps methodologies, • Bachelor's degree in Computer Science, Engineering, or related field Preferred qualifications, capabilities, and skills: • Experience with Cash and Check Management systems, • Prior experience in architecting solutions for critical bank functions, • Certification in cloud architecture (AWS, Azure, GCP), • Experience with modernization of mainframe and legacy applications, • Demonstrated ability to drive firmwide impact through technology leadership Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions all while ranking first in customer satisfaction.

Job DescriptionDirector Commercial Data Capability - Head of Platform & Engineering ExcellenceWe are seeking a bold, forward-thinking, and technically grounded leader to join our company Digital Human Health (DHH) organization and play a pivotal role in shaping the future of our commercial data capabilities.This role is the "Head of Platform & Engineering Excellence." This leader and their team provide the foundational platforms, tools, and services (quality, ops, GenAI infra) that Core data domains/solutions and the Emerging business solutions teams will consume. This leader serves as the primary engineering and platform partner to Core Data Domains and Emerging Business Solutions teams, providing the foundational capabilities they need to build and scale their respective data products. This leader will lead four specialized teams — Data Quality & Business Rules Management, Innovation Capabilities, Data Operations, and Foundational Capabilities — with a mandate to modernize our data infrastructure, embed Generative AI solutions across the commercial data organization, and ensure the long-term resilience and sustainability of our data platforms. Additionally, This leader will serve as the organization's champion for Data Architecture & Engineering excellence and embed AI assisted data product development as the standard for how we operate.This leader will lead the team that builds the foundational GenAI infrastructure (the "factory"), while the Core and Emerging business solutions teams use that factory to build specific GenAI-powered data products.Position ResponsibilitiesRole OverviewServe as the champion for Data Architecture & Engineering excellence, leading the modernization of data infrastructure, embedding GenAI solutions, and ensuring the resilience of commercial data platforms to support the DHH organization.A. Team & Capability Leadership: 1. Lead Specialized Teams: Direct and oversee four core capability areas: Data Quality & Business Rules Management, Innovation Capabilities, Data Operations, and Foundational Capabilities.2. Roadmap Execution: Translate the organization's GenAI and modernization ambitions into prioritized, executable technical and engineering roadmaps.3. Role Model Leadership: Demonstrate senior leadership behaviors including cross-functional leadership, swift decision-making, strategic thinking, and fostering a culture of technical innovation.B. GenAI & Innovation Infrastructure: 1. GenAI-Ready Architecture: Architect and oversee the design of GenAI-ready data infrastructure, including curated semantic layers, vector store implementations, and Retrieval-Augmented Generation (RAG) pipelines.2. Pilot to Production: Lead the Innovation Capabilities team in evaluating, piloting, and productionizing GenAI solutions to increase enterprise GenAI fluency and adoption.C. Foundational Architecture & Modernization: 1. Legacy-to-Modern Migration: Direct the Foundational Capabilities team in executing legacy-to-modern platform migrations and building future-proof, scalable architectural foundations.2. Architecture Standards: Champion and enforce enterprise data architecture standards, including cloud-native design patterns, composable data product architecture, and API-first data access.D. Data Quality & Reliability (DataOps)1. Data Operations Lifecycle: Lead the Data Operations team to ensure steady-state platform operations, high availability, rapid incident response, and strict SLA adherence.2. Automated Data Quality: Oversee the Data Quality & Business Rules Management team to implement and scale an automated Data Quality (DQ) framework across all data tiers.Behavioral CompetenciesA. Technical Translation & Communication: A1. Bridges the gap: Excellent interpersonal skills with a proven ability to translate complex GenAI, architectural, and engineering concepts into clear business value for non-technical commercial stakeholders.B. High-Performance Team Leadership: B1. Builds and empowers: Strong organizational and leadership skills with a track record of hiring, building, and mentoring specialized, high-performing technical teams (Data Ops, Quality, Innovation).B2. Decisive execution: Demonstrates swift decision-making and cross-functional leadership to keep infrastructure migrations and pilots on track.C. Strategic Innovation & Change ChampionC1. Drives modernization: Acts as the organization's champion for modern data architecture standards, fostering a culture of innovation that embraces AI-assisted workflows. C2. Forward-looking resilience: Balances the excitement of piloting GenAI with the disciplined mindset required to maintain steady-state operations and SLA adherence.D. Architectural Vision: D1. Translates ambition to reality: Ability to take the enterprise's high-level GenAI and modernization ambitions and break them down into prioritized, executable technical roadmaps.Functional CompetenciesA. Generative AI & Semantic InfrastructureA1. AI Implementation: Proven, hands-on expertise in Generative AI strategy and implementation, including direct experience with LLMs, RAG architectures, and vector databases in production environments.A2. AI-Ready Data: Deep understanding of preparing enterprise data for AI consumption (curated semantic modeling, metadata enrichment, ontology design, LangChain, Azure OpenAI, AWS Bedrock).B. Modern Data ArchitectureB1. Cloud-native design: Strong expertise in cloud-native data platforms, data lakehouse architectures, API-first data access, and composable data product architecture (prior exposure to Data Mesh operating models preferred).C. Platform Operations (DataOps) & MigrationC1. Reliability at scale: Solid understanding of modern DataOps practices, including SLA/SLO management, incident response, and system observability.C2. Legacy modernization: Extensive experience directing legacy-to-modern platform migrations and building future-proof architectural foundations.D. Data Quality & Automated GovernanceD1. Automated frameworks: Experience leading large-scale data quality programs, embedding automated Business Rules Management, and implementing scalable DQ frameworks across all data tiers.D2. Responsible AI: Familiarity with implementing AI governance and responsible AI guardrails within the data infrastructure.Education:B.S. or M.S. in Engineering or related field (Business, Analytics, Engineering, Pharmacy, Technology fields, Liberal arts, Computer Science, Engineering, Data Science, etc.)Required: Minimum 10+ years of relevant work experience with a demonstrated track record in data architecture, data platform engineering, or data product leadership, with meaningful experience working in the biopharma or healthcare industryPreferred:Hands-on experience with specific GenAI and ML platform tooling such as Azure OpenAI Service, AWS Bedrock, Google Vertex AI, LangChain, LlamaIndex, or equivalent LLM orchestration frameworksExperience implementing AI governance and responsible AI frameworks, including model transparency, bias assessment, data lineage for AI pipelines, and audit-readiness for AI-generated outputs in regulated industriesFamiliarity with commercial biopharma data ecosystems and the specific challenges of preparing pharma commercial data (HCP data, promotional content, patient-linked data) for GenAI consumptionExperience building or managing vector store implementations and embedding pipelines (e.g., Pinecone, Weaviate, pgvector, or equivalent) in a production enterprise environmentPrior exposure to data mesh or data product operating model frameworks and experience translating those principles into practical platform and governance decisionsRequired Skills: AI Architecture, Business Intelligence (BI), Data Architecture Development, Database Administration, Data Engineering, Data Infrastructure, Data Lineage, Data Management, Data Modeling, DataOps, Data Quality, Data Quality Test Automation, Data Visualization, Design Applications, Generative AI, Information Management, Microsoft Azure Batch Artificial Intelligence (AI), Product Management Leadership, Responsible AI, Software Development, Software Development Life Cycle (SDLC), Strategic Thinking, System DesignsPreferred Skills: Current Employees apply HERECurrent Contingent Workers apply HEREUS and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:EEOC Know Your RightsEEOC GINA SupplementWe are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.Learn more about your rights, including under California, Colorado and other US State ActsThe salary range for this role is$173,200.00 - $272,600.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at .You can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance OrdinanceLos Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring OrdinanceSearch Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: RegularRelocation:No relocationVISA Sponsorship:NoTravel Requirements:10%Flexible Work Arrangements:HybridShift:Not IndicatedValid Driving License:NoHazardous Material(s):n/aJob Posting End Date:08/18/2026*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. SummaryLocation: USA - New Jersey - Rahway; USA - Pennsylvania - North Wales (Upper Gwynedd)Type: Full time

Professional certifications in major cloud providers for security such as AWS Certified Security – Specialty, Microsoft Certified: Cybersecurity Architect Expert or Azure Security Engineer Associate and other related certificates such as Certified Information System Auditor (CISA), Certified Infor

In-depth, Architect-level experience deploying AWS & Azure Cloud platform solutions ( IAAS,PAAS Native AWS Services)=>. Prepare technical implementation road maps to support the evolution of existing capabilities to the To-Be architecture, including leveraging AWS specific services to implement the

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Job DescriptionJob Description Role: Senior Software Engineer with Strong Angular - W2 Role Location: Iselin, NJ (3 days a week hybrid And In-Person Interview) Duration: Longterm As a Senior Software Engineer, you will work alongside and mentor a group of talented engineers as you pursue a broad range of initiatives. By leveraging your technical skills and thirst for innovation, you will produce disruptive technologies that will ensure market leadership in consumer banking. As a future leader, you will work on multiple solutions spanning consumer banking applications. The Senior Software Engineer will be responsible for: • Designing, modifying, developing, and implementing technology solutions. Building modern, architecturally sound components, tools, and applications to meet mission-driven strategic business goals., • Participating in an environment rapidly transforming to the Agile methodology, adhering to best practices and collaborating effectively with team mates., • Infusing quality of service characteristics, such as scalability, manageability, and maintainability, into distributed service-based frameworks to create or expand business or technical capabilities., • Contributing insight from prior experiences when considering design specifications, especially considering the goals of the consumer-facing product. Required Qualifications • 8+ years of experience in software development, with a proven record of successfully launching commercial products., • 3+ years of experience with collecting requirements, creating software designs, and developing efficient implementations., • Demonstrated ability to operate in a team environment, with strong interpersonal and communication skills., • Understanding of multiple programming languages, including at least one front-end framework (Angular/React/Vue), such as Python3, Java, JavaScript, Ruby, Golang, C, C++, etc., • Required: Bachelor's degree in Software Engineering, Computer Science, Engineering, Mathematics, or a related discipline. Desired Qualifications • Understanding of the banking industry, specifically the functions of custodial and consumer banking., • Experience with AWS/Azure/GCP., • Bash and Linux experience., • Familiarity with full-stack development., • Experience with CI/CD pipelines (CircleCI, Jenkins, or equivalent)., • Cloud certifications such as AWS Solutions Architect., • Understanding of data structure concepts such as linked lists, dictionaries, arrays, custom object creation, etc Additional Information All your information will be kept confidential according to EEO guidelines.

Software Engineer Job Duties: Develops information systems by designing, developing, and installing software solutions.Determines operational feasibility by evaluating analysis, problem definition, req

Advanced BA - Visualize data and be able to create dashboards and present it well.Based on the data set, and the audience (senior management vs analysts), be able to determine the right representation from the library of charts (should not need to be told what chart would be the right representation

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Serves as a liaison between the business community and the IT organization in order to provide technical solutions to meet user needs.Possesses expertise in the business unit(s) they support, as well as, an understanding of the IT organizations systems and capabilities.Analyzes business partners ope

Business Systems Analyst Data Focused.Location: Jersey City, NJ Duration: 08-24-2026 - 08-20-2027.Develop clear, concise methodology documents, which require proficiency in interviewing skills, workflow analysis, dataflow diagramming, screen design, etc.Review and assist in development of project p

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The Delta One & Synthetic Prime Brokerage (SPB) Trade Support team provides essential operational risk management and control, preserving and enhancing the firm's assets and its reputation.The bank has a substantial Equities and Delta one trading presence in London, New York, and Asia.The position i

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As a Client Solutions Architect Manager in Digital & Design, you are an integral part of a team that innovates and supports the sales process for the technical adoption of comprehensive product solutions for clients with complex challenges. Client Solutions Architect Manager In Digital & Design.

Approach the solution as an Enterprise Architect.

Location: Jersey City, NJ (Web Cam Interview) Duration: Long Term (W2) H1 Transfer/ GC/ Citizen.Work in an agile and fast-paced environment interfacing with Management, Business, Operations and Technology teams.Possess strong working knowledge and experience of Equities Settlements.Experience with C

Client Solutions Architect Manager. As a Client Solutions Architect Manager in JP Morgan's Merchant Services team, you are an integral part of a team that innovates and supports the sales process for the technical adoption of comprehensive product solutions for clients with complex challenges. Docum

The person should have worked and managed single projects spanning multiple applications from electronic/trade capture to booking all the way to regulatory reporting and settlements and also be technical to a level understanding the architecture of a scalable and distributed software system.