Join a team that develops high-quality data architecture solutions to deliver governed, high-quality, AI-ready data for business-critical applications and use cases. Help shape the global target-state architecture through capabilities across multiple data architecture domains.
Job Summary
As a Lead Data Architect at JPMorgan Chase within the Private Bank Chief Data & Analytics Office, you are an integral part of the team that develops new data-product offerings and leads end-to-end data-product design. Leverage AI knowledge to create metadata artifacts, develop AI skills to automate tasks, and deliver Data Architecture as a Product.
Lead conceptual, logical, and physical data modeling within and across sub-domains. Create and maintain metadata artifacts such as business terms, glossaries, ontologies, taxonomies, and semantic/context layers for AI. Use modeling tools, such as Erwin, and AI-assisted techniques to accelerate metadata production while preserving governance rigor.
Job responsibilities
- Engage technical teams and business stakeholders to discuss and propose data architecture approaches to 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
- Execute creative data architecture solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Own domain modeling and data design, including CDM/LDM/PDM for WM domains; model key entities with clear keys, relationships, and lifecycle states
- Define the semantic/context layer, including canonical business concepts and relationships; establish conformed dimensions and standardized measures (e.g., AUM, net flows, time-weighted return) with unambiguous definitions
- Produce and maintain metadata artifacts, including business glossaries (terms, definitions, stewardship), ontologies/taxonomies (concept hierarchy, relationships), context layer mappings (technical fields → business concepts → metrics), naming standards, and modeling conventions. Incorporate metadata into the data mesh delivery process, aligned with governance policy expectations
- Apply AI to accelerate metadata production and maintain metadata at scale (e.g., suggested term mappings, documentation generation, relationship inference), with human review gates and version control
- Design for AI readiness to ensure models support analytics and AI use through stable identifiers, entity resolution approaches, history (SCD/event modeling), feature-friendly structures, and clear semantics for retrieval and grounding
- Define standards for interoperability and evolution, including patterns for schema evolution, versioning, deprecation, and backward compatibility; ensure interoperability across platforms (warehouse/lakehouse/APIs/BI)
Required qualifications, capabilities, and skills
- Demonstrate 5 years of experience or equivalent expertise in data design, including data products, data lakes or data warehouses, and data modeling
- Apply advanced knowledge of the data-product development life cycle, design, and data analytics within a domain-driven, data mesh paradigm
- Demonstrate in-depth knowledge of the financial services industry and data ecosystem
- Demonstrate data modeling expertise and the ability to move fluidly from concept to logical to physical implementation
- Apply practical cloud-native experience
- Use AI tools to define requirements, shape design, and harvest and create metadata
Preferred qualifications, capabilities, and skills
- Demonstrated 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
- Graph database design knowledge
- Risk/privacy awareness, including entitlements, data minimization, and classification, with the 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.
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
Skills Required
- At least 5 years of experience or equivalent expertise in data design, data products, data lakes or warehouses, and data modeling.
- Advanced knowledge of the data-product development lifecycle, design, and data analytics within a domain-driven data mesh paradigm.
- In-depth knowledge of the financial services industry and data ecosystem.
- Expertise in data modeling and the ability to move from conceptual to logical to physical implementation.
- Practical cloud-native experience.
- Experience using AI tools to define requirements, shape design, and create metadata.
- Experience working in a highly matrixed, complex organization.
- Wealth management domain expertise, including IBOR, ABOR, investments and securities, alternatives, derivatives, fixed income, and equities.
- Data profiling and analytics fluency with strong SQL skills.
- Graph database design knowledge.
- Risk and privacy awareness, including entitlements, data minimization, and classification.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
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Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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