Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 5 years of experience in product management or related technical role.
  

Preferred qualifications:

• Experience working with financial data, ERP systems (SAP), or vendor management platforms, and successfully bridging financial metrics with operational data.
• Proficiency in SQL and a strong comfort level querying databases (BigQuery, Spanner) to independently investigate data anomalies, validate pipeline outputs, and prototype data models.
• Familiarity with BI platforms (Looker, Tableau) and strong understanding of how backend data structures impact frontend dashboard performance and user experience.
• Deep understanding of SDLC, managing technical debt, deprecating legacy systems, and driving adoption of new foundational platforms.
• Building or managing tools focused on taxonomy management, metadata governance, or centralized data abstraction layers.

About the job

Responsibilities

• Develop and advocate product goal, strategy, and multi-year roadmap for the product area, ensuring alignment with gUP goals and stakeholder needs.
• Drive the roadmap for the Tool Agnostic Data Layer, ensuring it continues to serve as a robust, scalable abstraction layer between disparate operational tools and our centralized data warehouse.
• Product ownership of gUP's Spend Management Reporting surface, gUP’s unified spend taxonomy framework, and the App Engine application used for metadata governance and taxonomy management. 
• Work shoulder-to-shoulder with the gUP Data Engineering and Analytics teams. You will define technical requirements, guide data pipeline development, and ensure front-end reporting tools are powered by pristine, governed data.
• Advocate data governance best practices, establish clear service-level agreements for data freshness, and manage complex migrations as we evolve our operational reporting backbone.