Data Platform Product Manager

We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Enterprise Technology plays a critical part in shaping the future of mobility. If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people's lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

We are looking for a visionary technical Product Manager to lead the strategy, development, and execution of Data Platform Engineering products. In this role, you will drive innovation and ensure seamless data discoverability, governance, and quality by overseeing a suite of Data products, including Data Catalog, Data Product Creation, and Metadata Management.

You will work across teams to integrate product solutions with data access, data quality, security, governance, and analytics products, ensuring Ford's data assets are trustworthy, compliant, and AI-ready. Your work will empower teams across Ford to make data-driven decisions that shape the future of mobility.

Why Join Us

* Be a Data Pioneer:
Shape the future of data-driven mobility with cutting-edge metadata solutions.

* Work with the Best:
Join a world-class team of engineers, data scientists, and business leaders driving Ford's transformation.

* Impact at Scale:
Your work will power autonomous vehicles, connected car experiences, and AI-driven insights.

* Grow with Us:
Ford is investing in data, AI, and digital transformation, providing endless opportunities for learning and growth.

We are looking for a visionary technical Product Manager to lead the strategy, development, and execution of Data Platform Engineering products. In this role, you will drive innovation and ensure seamless data discoverability, governance, and quality by overseeing a suite of Data products, including Data Catalog, Data Product Creation, and Metadata Management.

* Define and execute the vision and roadmap for products in the Data Platform Engineering ensuring alignment with Ford's broader data and analytics strategy.

* Lead user discovery and research across multiple personas (business associates, plant engineers, analysts, developers) to ensure solutions address real pain points.

* Translate user needs into epics, PRDs, and evaluation benchmarks; prioritize features and enhancements using impact-driven frameworks.

* Drive adoption and continuous improvement of solutions, enhancing data governance, operational efficiency, and regulatory compliance.

* Define KPIs and success metrics to measure adoption, discoverability, and quality.

* Lead the development of a Data Catalog that enables seamless search, discovery, and governance of enterprise-wide data assets.

* Develop metadata governance models, ensuring metadata standardization, data stewardship, and AI-driven metadata automation.

* Partner with engineering, data science, and platform teams to deliver scalable and secure solutions across cloud and enterprise ecosystems.

* Communicate product strategy and progress to senior leadership and stakeholders, influencing adoption and organizational alignment.

* Build and maintain success metrics around adoption, accuracy, usability, and performance to guide continuous improvement.

* Define and execute the vision and roadmap for products in the Data Platform Engineering ensuring alignment with Ford's broader data and analytics strategy.

* Lead user discovery and research across multiple personas (business associates, plant engineers, analysts, developers) to ensure solutions address real pain points.

* Translate user needs into epics, PRDs, and evaluation benchmarks; prioritize features and enhancements using impact-driven frameworks.

* Drive adoption and continuous improvement of solutions, enhancing data governance, operational efficiency, and regulatory compliance.

* Define KPIs and success metrics to measure adoption, discoverability, and quality.

* Lead the development of a Data Catalog that enables seamless search, discovery, and governance of enterprise-wide data assets.

* Develop metadata governance models, ensuring metadata standardization, data stewardship, and AI-driven metadata automation.

* Partner with engineering, data science, and platform teams to deliver scalable and secure solutions across cloud and enterprise ecosystems.

* Communicate product strategy and progress to senior leadership and stakeholders, influencing adoption and organizational alignment.

* Build and maintain success metrics around adoption, accuracy, usability, and performance to guide continuous improvement.