Principal Product Manager, AI Data Solut

Your Team's Impact

We are experiencing a fundamental shift in how data is utilized, driven by advances in AI and increasing interoperability. This role is central to that change. As Principal Product Manager for AI Data Mesh, youll lead the development of a new, strategically important product space that empowers clients to leverage AI across their entire data ecosystemincluding internal, proprietary, and third-party content.

What You'll Do

As a highly influential senior individual contributor, you will shape the strategy, define the architecture, build the roadmap, and collaborate with engineering and partners to deliver impactful solutions. You will also serve as a trusted product authority for our clients, engaging directly with executive stakeholders to drive key sales and partnership discussions. This is a unique opportunity for a product leader to influence the future of AI-driven data integration and deployment.

Responsibilities:

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 prioritizes 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.
What Were Looking For

Requirements:

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.