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
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
- 7+ years of relevant experience in data analysis, data delivery, data management, data strategy, or transformation roles
- Ability to deliver outcomes with minimal supervision and operate effectively amid ambiguity
- Ability to influence without authority and translate business needs into data, metadata, and semantic requirements
- Hands-on understanding of data quality and metadata management
- Comfort working in detail with datasets using SQL and/or Python
- Risk and control awareness in regulated environments
- Practical experience with agile methodologies and Jira, Confluence, or Kanban
- Experience in Asset Management and investment or client data domains
- Familiarity with data contracts, lifecycle management, and product telemetry
- Exposure to ontologies, taxonomies, or controlled vocabularies for analytics or AI
- Bachelor's degree or equivalent experience
- Advanced degree or relevant certifications such as Agile or PMP
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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