Senior Lead Data Architect

JOB DESCRIPTION

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. You strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don't pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best‑in‑class solutions to the industry.

As a Senior Lead Data Architect within Consumer & Community Banking, Infrastructure & Architecture Team, you are an integral part of a team that works to develop high‑quality data architecture solutions for various software applications and platform products. Drive significant business impact and help shape the global target state architecture through your capabilities in multiple data architecture domains.

• Represent the data architecture team at technical governance bodies, providing feedback and proposing improvements to data architecture governance practices and guiding evaluation of current and new technology using existing data architecture standards and frameworks.
• Use enterprise‑authorized AI capabilities within the work environment to accelerate data architecture analysis and decision‑making (e.g., option evaluation and documentation), validating outputs and handling data according to sensitivity and security requirements.
• Regularly provide technical guidance and direction to support the business and its technical teams, contractors, and vendors and serve as a function‑wide subject matter expert in one or more areas of focus.
• Develop secure and high‑quality production code and review and debug code written by others.
• Drive data architecture decisions that impact product design, application functionality and technical operations and processes.
• Actively contribute to the engineering community as an advocate of firm‑wide data frameworks, tools, and practices in the Software Development Life Cycle.
• Influence peers and project decision‑makers to consider the use and application of leading‑edge technologies.
• Lead reuse‑first adoption of AI‑assisted data validation within SDLC/toolchain routines, improving quality checks and operational stability with traceability/auditability and resiliency expectations.
• Define enterprise Data + Agentic AI platform and reference architecture spanning ingestion, curated data products, metadata/lineage, enterprise knowledge bases (vector search/RAG), agent tool chains (planning/execution), guardrails, access controls/risk controls, and evaluation/observability.
• Guide the implementation of enterprise data solutions, ensuring alignment with business goals and compliance requirements.
• Collaborate with cross‑functional teams to drive innovation and continuous improvement in data architecture.

• Formal training or certification on data architecture concepts and 5+ years applied experience.
• Hands‑on practical experience delivering system design, application development, testing, and operational stability.
• Demonstrated experience using enterprise‑authorized AI capabilities within the work environment to support data architecture workflows with strong validation habits and awareness of data sensitivity.
• Ability to assess and validate AI‑assisted data architecture recommendations before adoption, escalating uncertainty and ensuring outcomes align to resiliency, security, and auditability expectations.
• Advanced knowledge in one or more programming language(s), applications, and architecture, with advanced knowledge of architecture, applications, and technical processes within one or more technical disciplines (e.g., Cloud, AI/ML, mobile, etc.).
• Ability to tackle design and functionality problems independently with little to no oversight.
• Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture.
• Strong communication and collaboration skills to work effectively with cross‑functional teams.
• Proven track record of…