Build the semantic and data-design foundations that power data products used across wealth management. You’ll help teams deliver trusted, governed data that is ready for analytics and artificial intelligence use cases. You’ll work across business and technology partners to define clear meaning, consistent definitions, and durable models that scale. 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.
Job summary
As a Lead Data Architect in our wealth management data architecture team, you define the conceptual, logical, and physical data foundations for the domains and data products you support. You create and maintain data models, taxonomies, 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.
Job responsibilities
- 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 to break down 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 delivery processes
- Apply automation and artificial intelligence techniques to accelerate metadata generation, with human review checkpoints and version control
- Design models for analytics and artificial intelligence readiness, including stable identifiers, history patterns, and feature-friendly structures
- Establish patterns for schema evolution, versioning, deprecation, and backward compatibility across platforms (warehouse, lakehouse, application programming interfaces, business intelligence)
Required qualifications, capabilities, and skills
- (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 style of delivery
- 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, 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.
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
- 5+ years of experience or equivalent expertise in data design for data products, data lakes, or data warehouses
- Advanced knowledge of data-product development lifecycles, design practices, and analytics within domain-driven, data mesh-style delivery
- Demonstrable data modeling experience spanning conceptual, logical, and physical implementation
- Practical cloud-native experience designing and delivering data solutions
- Experience defining and maintaining metadata, including glossary terms, definitions, and mappings, with governance discipline
- Ability to partner with business stakeholders and technical teams to translate requirements into durable data designs
- Familiarity with automation or artificial intelligence tools for improving documentation, metadata coverage, or design workflows
- Experience working in a highly matrixed, complex organization
- Wealth management domain expertise, especially client onboarding and lifecycle processes
- Strong data profiling and analytics fluency, including SQL skills
- Experience with graph data modeling or graph database design
- Risk and privacy awareness, including entitlements, data minimization, and data 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, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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