Snowflake Platform Product Owner

About the role

This role owns Snowflake as a product across Infor’s Data & AI capability and serves two demands equally: the data marketplace that distributes certified data products to analysts, and the Cortex and AgentCore data layer that the AI agent runtime reads from. It sits adjacent to and supports both, owning the platform’s business case, roadmap, and consumption economics, and holding real decision rights on the platform’s business questions.

Responsibilities

• Own Snowflake as a product with one business point of view: a published roadmap, a prioritized backlog, and consumption economics as the accountability, spanning the data marketplace and the AI agent runtime equally.
• Own the platform’s economics: cost tied to the capability and to each team that uses Snowflake, anomaly alerts before cost events, run rate tracked to plan, and a financial case for consumption defensible against measured business value.
• Set the platform standards every team builds on: how certified data products are distributed through the marketplace, how approved agents read Snowflake-resident data through a governed interface, and how exploratory work happens without shadow environments.
• Earn adoption of those standards through value, not mandate.
• Hold product ownership for the platform’s AI and ML features: prioritize and shape the capabilities the teams need (Cortex Analyst, Cortex Search, Cortex Agents, the feature store, the model registry), with a clean handoff designed in for when a team is ready to own the AI technology directly.
• Experiment to find better usage and cost options: recommend where analytics and AI and ML workloads should run with documented economics, and bring the broader organization up the Snowflake learning curve so the platform is used well, not only paid for.
• Own the Snowflake vendor relationship from the business side: consumption economics, pricing structure, and feature roadmap influence, coordinated with the technical product owner on the data side so business and technical ownership stay aligned.

Qualifications

• Experience in data, analytics, or data-platform product roles including product ownership: has owned a major data or AI platform as a product end to end, with a published roadmap, prioritized backlog, and consumption economics as the accountability.
• Platform ownership, not only project / product management.
• Snowflake fluency, with hands-on experience working directly on the platform: the data marketplace and certified data distribution, Cortex AI and ML workloads including the agentic surface (Cortex Analyst, Cortex Search, Cortex Agents), the feature store and model registry, governed agent-to-data access (MCP or equivalent), and exploratory workspaces.
• Real command of consumption economics and FinOps for vendor-managed, usage-priced platforms: anomaly handling, threshold management, run rate to plan, and a case for spend defensible against measured business value.
• Ownership of a platform used by teams the owner did not control: earned adoption of standards through value rather than authority, with influence across data engineering and AI engineering audiences without direct reports.
• Experience recommending where AI and ML workloads should run: comparing options from measured value (Cortex versus external ML platforms, for example), with recommendations that held.
• Experience with platform advocacy leading to high value outcomes: raised an organization’s fluency on a platform so it was used well, not only paid for; clear articulation of numerous high value outcomes as a result.
• Legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship now or in the future.

Benefits

The role is part of Infor’s Data & AI team, which operates within Infor IT. The scope is internal AI for Infor employees and operations, not customer-facing product AI. Operating principles include holding one business point of view on the platform, spending by measured value, and earning influence through economics and standards rather than authority. This role establishes single business ownership of Snowflake, coordinating data product and AI engineering work rather than collapsing into either.

Pay

Details on pay are not specified in the job posting.

Schedule

Details on schedule are not specified in the job posting.