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Vice President, Data Strategy for AI

JPMorgan Chase

On-site
New York, NY
Full-time
Manager
7+ yrs
Salary not listedPosted 1h ago

Real job — pulled straight from JPMorgan Chase’s careers page · Verified October 25, 2026 · No reposts.

Job description

JPMorgan Chase is hiring a Vice President, Data Strategy for AI — a full-time, based in New York, NY role. Apply directly on JPMorgan Chase's careers page below.

Vice President, Data Strategy for AI

Location: NY, United States

Help accelerate Asset Management’s data strategy with a role that directly enables high-impact analytics and artificial intelligence use cases. You will strengthen metadata foundations and support the development of ontologies that improve data discoverability, usability, and governance. This is a hands-on opportunity to work across business stakeholders, data owners and custodians, and technology teams to translate real needs into measurable deliverables. You will partner closely with the Artificial Intelligence Data Strategy Lead while helping unblock delivery across multiple work streams.

 

Job Summary

As a Vice President - AI Data Strategy in Asset Management Data Strategy & Platform, you will drive artificial intelligence data readiness by strengthening metadata, documentation, quality expectations, and access and control readiness. You will collaborate with business consumers, data owners and custodians, product partners, and technology teams to translate priority use cases into clear data, metadata, and semantic deliverables. You will help shape and promote the adoption of Asset Management artificial intelligence ontologies so teams can use data more consistently across domains and data products.

 

Job Responsibilities:

  • Execute artificial intelligence data readiness work streams to strengthen metadata robustness, documentation, quality expectations, access readiness, and controls
  • Partner with business consumers and analytics users to understand priority use cases and translate them into clear readiness requirements and deliverables
  • Assess data fitness-for-purpose with data owners and custodians against business and artificial intelligence use needs
  • Support the design and adoption of Asset Management artificial intelligence ontologies to promote consistent usage across data domains and data products
  • Coordinate across business, product, technology, and data stakeholders to unblock delivery
  • Manage dependencies, risks, issues, and delivery plans across multiple work streams
  • Ensure deliverables meet documentation, governance, and control standards
  • Analyze data to identify trends and root causes, and synthesize actionable insights to inform prioritization and decisions
  • Use agile tools (for example, Jira and Confluence) to manage work, report status, and increase transparency to stakeholders and governance forums
  • Improve data operating model practices by identifying duplication and consolidation opportunities

 

Required qualifications, capabilities, and skills:

  • 7+ years of relevant experience in data analysis, data delivery, data management, data strategy or transformation roles in complex, matrixed environments
  • Demonstrated ability to deliver outcomes with minimal supervision, operate effectively with ambiguity, and “join the dots” across business, data, and technology
  • Strong stakeholder engagement skills, including influencing without authority and translating business needs into data/metadata/semantic requirements
  • Hands-on understanding of data quality and metadata management (e.g., definitions, ownership, usage context), with comfort working in detail with datasets (SQL and/or Python)
  • Risk and control awareness, including alignment to regulated environment requirements
  • Practical experience with agile methodologies and tools (JIRA, Confluence, Kanban), with disciplined planning, status reporting, and issue/risk management

 

Preferred qualifications, capabilities, and skills:

  • Experience in Asset Management and familiarity with investment and/or client data domains
  • Familiarity with data product practices such as data contracts, lifecycle management, and product telemetry
  • Exposure to semantic modeling approaches (ontologies/taxonomies/controlled vocabularies) used to enable analytics or AI use cases
  • Bachelor’s degree or equivalent experience required; advanced degree or relevant certifications (e.g., Agile, PMP) a plus

About Us

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.

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

About the Organization

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.​Shape data foundations for artificial intelligence in asset management and help deliver trusted data for business outcomes.

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Frequently asked questions

What skills are required for Vice President, Data Strategy for AI at JPMorgan Chase?

The required skills for Vice President, Data Strategy for AI at JPMorgan Chase include: SQL, Python, Agile, JIRA, Confluence.

What is the seniority level for Vice President, Data Strategy for AI at JPMorgan Chase?

Vice President, Data Strategy for AI at JPMorgan Chase is a Manager level position.

How do I apply for Vice President, Data Strategy for AI at JPMorgan Chase?

You can view the full description and apply for Vice President, Data Strategy for AI at JPMorgan Chase on EchoJobs: https://echojobs.io/job/jpmorgan-chase-vice-president-data-strategy-for-ai-jafel.