Principal Product Manager, AI Data Solutions

FactSet

Principal Product Manager for AI Data Mesh leading product strategy at FactSet. Overseeing development of AI-driven data integration and deployment initiatives for financial services clients.

Posted 5/30/2026full-timeNew York City • Connecticut, New York • 🇺🇸 United StatesLead💰 $170,000 - $212,000 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Define and own the multi-year product strategy for FactSet's AI Data Mesh.
Develop a clear point of view on the three primary distribution archetypes and how FactSet should prioritize and sequence investment across them: inbound data flow via MCP and cloud data shares; interoperability with client-operated AI platforms (Claude, ChatGPT, Microsoft Copilot, and others); and full-push distribution into Snowflake, Databricks, and similar data lakehouse environments.
Stay at the forefront of the rapidly evolving MCP and agentic AI ecosystem — tracking standards, competitive moves and emerging client deployment patterns.
Translate strategy into a rigorous, sequenced product roadmap with clear success metrics, technical dependencies, and commercial milestones.
Work directly with engineering, data architecture, and AI research teams to drive delivery — writing detailed product requirements, participating in architecture reviews, and maintaining accountability for outcomes.
Define data governance, lineage, and access control frameworks that meet the compliance and security standards of financial services clients.
Serve as the primary voice of the customer for this product space — conducting regular discovery with client data engineering teams, investment technology leaders, and enterprise architects to validate hypotheses and surface new requirements.
Partner with Solutions Engineering and GTM teams to define positioning, packaging, and go-to-market motions for each archetype.
Engage clients at executive level during key sales and partnership discussions.
Build and maintain an informed perspective on the competitive landscape, with particular attention to moves within financial services and the broader MCP ecosystem.
Serve as one of FactSet's internal authorities on MCP and related agentic AI protocols — defining how FactSet implements, extends, and governs these standards across distribution archetypes.
Define the technical standards and data contracts that enable reliable, governed AI operation across heterogeneous client environments.
Evaluate and make build/buy/partner decisions for key platform capabilities in collaboration with architecture and engineering leadership.
Align stakeholders across product, engineering, data, GTM, and the C-suite on strategy and priorities.
Mentor other product managers across the organization as this product space grows.

Requirements

What you’ll need

Bachelor's degree
12+ years of professional experience with 8+ years of product management, data engineering, or platform development — with at least 5 years in PM roles owning data infrastructure, AI platform, or developer platform products.
Proven track record of 0-to-1 product development: taking an ambiguous market opportunity through to a shipped, adopted product, ideally in an enterprise B2B context.
Experience building products that span technical and business buyers.
Background at a data infrastructure company, a financial data firm, a major cloud platform, or at a financial AI company.
Exposure to Financial Services, understanding of how investment managers, banks, and financial institutions think about data governance, compliance, and operational risk.
Experience engaging C-suite and clients in strategic sales and partnership conversations.
Working knowledge of AI/LLM deployment patterns — prompt engineering, RAG architectures, tool use, and multi-agent systems.
Hands-on familiarity with MCP or comparable data interoperability protocols.
Comfort with cloud data sharing architectures (Snowflake Secure Data Sharing, Databricks Delta Sharing, or equivalent).
Ability to engage credibly in technical architecture discussions.
Experience partnering with GTM and Solutions teams on enterprise sales cycles to help drive product direction.
An MBA or advanced technical degree is a plus.
Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.

Benefits

Comp & perks

Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.
Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
Career progression planning with dedicated time each month for learning and development.
Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

product managementdata engineeringplatform development0-to-1 product developmentAI platformdata governancecomplianceoperational riskprompt engineeringmulti-agent systems

Soft Skills

stakeholder alignmentmentoringclient engagementstrategic salescommunication

Certifications

Bachelor's degreeMBAadvanced technical degree