Vice President, Data Strategy for AI

JPMorgan Chase & Co. • New York, NY

2d • $133,000 - $205,000

About The Position

As a Vice President 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 work 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 adoption of Asset Management artificial intelligence ontologies so teams can use data more consistently across domains and data products.

This hands-on role spans multiple work streams and involves partnering closely with the Artificial Intelligence Data Strategy Lead. You will help unblock delivery, manage dependencies and risks, and improve operating model practices while supporting high-impact analytics and artificial intelligence use cases.

Requirements

• 7+ years of relevant experience in data analysis, data delivery, data management, data strategy, or transformation roles in complex, matrixed environments.
• Ability to deliver outcomes with minimal supervision, operate effectively with ambiguity, and connect business, data, and technology.
• Strong stakeholder engagement skills, including influencing without authority and translating business needs into data, metadata, and semantic requirements.
• Hands-on understanding of data quality and metadata management, including definitions, ownership, and usage context, with comfort working in detail with datasets using SQL and/or Python.
• Risk and control awareness, including alignment with regulated environment requirements.
• Practical experience with agile methodologies and tools such as JIRA, Confluence, and Kanban, including disciplined planning, status reporting, and issue and risk management.
• Bachelor’s degree or equivalent experience required.

Nice To Haves

• 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 such as ontologies, taxonomies, or controlled vocabularies used to enable analytics or AI use cases.
• Advanced degree or relevant certifications, such as Agile or PMP.

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 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 use 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 such as 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior