Lead Data Architect - Vice President

You’ll work across business and technology partners to define clear meaning, consistent definitions, and durable models that scale. You’ll leverage AI to automate data architecture design workflows and deliver “Data Architecture as a Product”. If you enjoy turning complexity into clarity-and making data easier to discover, understand, and use-this role offers high visibility and strong growth opportunities., As a Lead Data Architect in our wealth management data architecture team, you define the conceptual, logical, and physical data models for domains and data products. You create and maintain data models, taxonomies, business glossaries, metadata, and a semantic layer so teams can build analytics and artificial intelligence solutions with confidence. You partner with stakeholders to align on canonical business concepts, stable identifiers, and clear definitions that make data easier to find, interpret, and govern. You help shape the target-state architecture by setting standards that enable interoperability and sustainable evolution over time., * Engage engineering teams and business stakeholders to propose data-architecture approaches that meet current and future needs

• Define the target-state data architecture for owned data products and drive delivery against the strategy
• Participate in data-architecture governance forums and ensure alignment to standards and controls
• Design and troubleshoot architecture solutions, applying creative thinking beyond routine or conventional approaches to solve complex technical problems
• Own conceptual, logical, and physical data models for wealth management domains, including keys, relationships, and lifecycle states
• Define canonical business concepts and relationships, including conformed dimensions and standardized measures (for example, assets under management and net flows)
• Produce and maintain metadata artifacts (business glossary, taxonomy, semantic/context layer mappings, naming standards, modeling conventions) and embed them into data mesh delivery processes
• Design for AI readiness: Ensure models support analytics/AI use: stable identifiers, entity resolution approach, history (SCD/event modeling), feature-friendly structures, and clear semantics for retrieval and grounding
• Establish patterns for schema evolution, versioning, deprecation, and backward compatibility across platforms (warehouse, lakehouse, application programming interfaces, business intelligence)

• (Option A - regions where years are permitted) 5+ years of experience or equivalent expertise in data design for data products, data lakes, or data warehouses
• (Option B - EMEA-style) Demonstrable experience in data design for data products, data lakes, or data warehouses
• Advanced knowledge of data-product development lifecycles, design practices, and analytics within a domain-driven, data mesh paradigm
• Demonstrable data modeling experience with ability to move from conceptual to logical to physical implementation
• Practical cloud-native experience in designing and delivering data solutions
• Experience defining and maintaining metadata (for example, glossary terms, definitions, and mappings) with governance discipline
• Ability to partner effectively with business stakeholders and technical teams to translate requirements into durable data designs
• Familiarity with using automation or artificial intelligence tools to improve documentation quality, metadata coverage, or design workflows

Preferred qualifications, capabilities, and skills

• Experience working in a highly matrixed, complex organization
• Wealth management domain expertise, especially client onboarding and lifecycle processes (for example, customer relationship management, know your customer, onboarding, client servicing)
• Strong data profiling and analytics fluency, including SQL skills
• Experience with graph data modeling or graph database design
• Risk and privacy awareness (for example, entitlements, data minimization, data classification) and ability to partner effectively with controls teams

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.

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., J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.?