VP, AI Data Strategy & Ontologies

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Vice President to advance AI data strategy within Asset Management. You will lead data readiness, strengthen metadata, and align governance with business and technology partners to deliver measurable AI-ready data products.

This role emphasizes cross-functional collaboration, ontology development, and disciplined delivery across multiple streams, with hands-on work in data quality, documentation, and risk controls.

Qualifications

• 7+ years in data analysis, 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

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

Skills

Data analysis

Data delivery

Data management

Data strategy

Stakeholder engagement

SQL

Python

JIRA

Confluence

Kanban

Education

Bachelor’s degree or equivalent

Advanced degree or relevant certifications (e.g., Agile, PMP)

Tools

JIRA

Confluence

Kanban

Job description

JPMorgan Chase & Co. in New York seeks a Vice President to advance AI data strategy within Asset Management. You will lead data readiness, strengthen metadata, and align governance with business and technology partners to deliver measurable AI-ready data products.

This role emphasizes cross-functional collaboration, ontology development, and disciplined delivery across multiple streams, with hands-on work in data quality, documentation, and risk controls.