Wealth Management - Senior Lead Data Architect - Vice President
About The Position
As a Senior Lead Data Architect at JPMorgan Chase within the Private Bank Chief Data & Analytics Office, you will help develop data-product offerings and lead end-to-end data-product design. The role contributes to global target-state architecture and delivers governed, high-quality, AI-ready data for business-critical applications and use cases. You will apply AI knowledge to create metadata artifacts, develop AI skills to automate tasks, and deliver Data Architecture as a Product. You will lead conceptual, logical, and physical data modeling within and across sub-domains, and create and maintain business terms, glossaries, ontologies, taxonomies, and semantic/context layers for AI. The role uses modeling tools such as Erwin and AI-assisted techniques to accelerate metadata production while maintaining governance rigor. It also involves designing for AI readiness, defining interoperability and schema-evolution standards, and incorporating metadata into the data mesh delivery process.
Requirements
- At least 5 years of experience or equivalent expertise in data design, including data products, data lakes or data warehouses, and data modeling.
- Advanced knowledge of the data-product development life cycle, design, and data analytics within a domain-driven, data mesh paradigm.
- In-depth knowledge of the financial services industry and data ecosystem.
- Data modeling expertise and ability to move from conceptual to logical to physical implementation.
- Practical cloud-native experience.
- Experience using AI tools to define requirements, shape design, and harvest and create metadata.
Nice To Haves
- Prior experience working in a highly matrixed, complex organization.
- Wealth management domain expertise, including knowledge of IBOR, ABOR, investments and securities, alternatives, derivatives, fixed income, and equities.
- Hands-on data profiling and analytics fluency with strong SQL skills.
- Knowledge of graph database design.
- Risk and privacy awareness, including entitlements, data minimization, and classification, and ability to partner effectively with controls teams.
Responsibilities
- Engage technical teams and business stakeholders to discuss and propose data architecture approaches that meet current and future needs.
- Define the data architecture target state of the product and lead achievement of the strategy.
- Participate in data architecture governance bodies.
- Develop and troubleshoot data architecture solutions, designs, and implementations, including approaches beyond routine or conventional solutions.
- Own domain modeling and data design, including CDM, LDM, and PDM for Wealth Management domains; model key entities with clear keys, relationships, and lifecycle states.
- Define the semantic/context layer, including canonical business concepts and relationships, conformed dimensions, and standardized measures with unambiguous definitions.
- Produce and maintain business glossaries, ontologies, taxonomies, context-layer mappings, naming standards, and modeling conventions, aligned with governance policies and the data mesh delivery process.
- Apply AI to accelerate metadata production and maintain metadata at scale, with human review gates and version control.
- Design data models for analytics and AI readiness, including stable identifiers, entity resolution, history, feature-friendly structures, and clear semantics for retrieval and grounding.
- Define standards for interoperability and evolution, including schema evolution, versioning, deprecation, and backward compatibility across warehouses, lakehouses, APIs, and BI platforms.
Benefits
- Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
