Director, Product Management – Enterprise Data Platform

US Telecommuter

R79289

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The Director, Product Management – Data Systems leads product strategy for our enterprise data foundation, including the Snowflake-based platform and supporting data systems that power Omni Analyst, Omni Insights, and our broader data product ecosystem. Reporting to the Vice President of Data Product Management, this role defines the capabilities, governance, and roadmap needed to deliver scalable, secure, and trusted data products across the enterprise.

As the product leader for the data platform, this individual serves as the primary intake and prioritization point for platform requests, aligns stakeholders across business and technology teams, and ensures the platform delivers business value while maintaining long-term scalability, performance, and cost efficiency.

• Defines the capabilities required of the enterprise data foundation, including governed data sharing, access controls, entity resolution, semantic models, shared definitions, and data quality standards.

• Partners with Data Architecture and Data Engineering to design scalable, secure, and well-governed platform capabilities aligned with enterprise standards.

• Champions modern data architecture practices, including data mesh and layered (medallion) architectures, to drive consistency and reusability across the enterprise.

• Establishes standards for semantic context, metadata, governance, and data design to ensure data is consistently understood by business users, analytics tools, and AI applications.

• Defines and owns the vision and multi-year roadmap for the enterprise data foundation, beginning with the Snowflake platform and evolving as business needs grow.

• Partners with Data Architecture leadership, business stakeholders, and internal data consumers to align platform investments with enterprise priorities.

• Collaborates with product leaders supporting Omni Analyst, Omni Insights, and other data products to ensure platform capabilities meet downstream product needs.

• Establishes and monitors platform success measures, including data quality, availability, performance, adoption, operational efficiency, and cost optimization.

• Applies Product Operating Model principles to platform intake, prioritization, backlog management, and outcome measurement.

• Owns the intake and prioritization process for enterprise data platform initiatives, maintaining a transparent framework for evaluating business requests.

• Balances business value, urgency, risk, dependencies, effort, and cost when prioritizing platform investments and managing tradeoffs.

• Maintains a strategic backlog and facilitates stakeholder alignment through recurring prioritization forums and governance discussions.

• Identifies demand trends and opportunities for reusable platform capabilities that improve efficiency and scalability.

• Partners with Data Engineering, Data Architecture, Governance, and platform administration teams to deliver roadmap commitments and platform enhancements.

• Translates business requirements into technical product requirements, user…