Senior Product Manager, Data Platform

Role Description

We are looking for a Senior Product Manager to own our Enterprise Data Platform as a product — its capabilities, reliability, governance, cost, and readiness for AI and natural-language analytics. You will own the long-term vision, strategy, and multi-quarter roadmap for the platform, and you will own it end to end: not only the underlying capabilities, but how they show up for the people who consume them.

Your first major focus is our Enterprise Data Hub:

• Consolidating fragmented, legacy data into governed, business-ready data products.
• Driving their adoption.
• Sunsetting the legacy environment they replace.

You will operate as the product owner of “what and why,” with engineering and architecture owning “how.” You will treat the platform as a product with real users, real adoption, and real return — measured against a clear North Star.

What You'll Do:

• Define and continuously refine the platform’s vision and product strategy, grounded in company and Enterprise Data goals.
• Balance foundational work with high-leverage use cases across analytics, self-service, and AI and natural-language consumption.
• Own the definition of what makes a data product trusted and production-ready.
• Own how platform capabilities surface for the people who use them.
• Ensure the platform’s governed, semantic models are the grounding layer for AI and natural-language analytics.
• Lead the move from the legacy environment onto the platform.
• Decompose work into small, estimable data-product units that ship on the order of a week once defined.
• Own platform health as a product promise — freshness and success service levels, availability, and fast detection and resolution of data incidents.
• Treat adoption as the job, not an afterthought.
• Define, instrument, and report the platform’s North Star and the metric tree beneath.
• Operate as a peer to engineering and architecture, and as the connective tissue across embedded data product managers, analytics leaders, governance, and business stakeholders.
• Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable.

Qualifications

• 5+ years working in or directly with data engineering, data platform, or analytics teams, ideally in complex, multi-system environments.
• 5+ years owning data or analytics products, with direct data-product-management experience strongly preferred.
• Demonstrated success owning end-to-end data or platform products.
• Deep familiarity with modern cloud data-warehouse and lakehouse architectures.
• Strong SQL and the comfort to explore data and platform metadata.
• Experience with business-intelligence and self-service analytics tools.
• Working knowledge of data governance, classification, access control, and data-quality and observability practices.
• Hands-on exposure to AI-assisted or natural-language analytics tooling.
• Familiarity partnering with data-science and machine-learning teams.
• Proven ability to build and execute multi-quarter, multi-team plans.
• Excellent communication and stakeholder management.
• A disposition that is friendly, flexible, pragmatic, and curious.

Requirements

• Experience sunsetting a legacy data environment in favor of a governed platform.
• Familiarity with modern AI-powered data-platform patterns.

Benefits

• Market competitive salary.
• Stock options.
• 12 paid holidays.
• Flexible PTO.
• 401K with ezCater match.
• Health/dental/FSA.
• Long-term disability insurance.
• Mental health and family planning resources.
• Remote-hybrid work options.
• Employee meal program.
• Opportunities for career growth.

Company Description

ezCater is the #1 food tech platform for workplaces in the US. The company makes it easy for any organization to manage its food needs and order from over 125,000 restaurants nationwide.