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 visionarytechnical Product Managerto 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 qualityby overseeing a suite of Data products, including

DataCatalog, 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 ofdata-driven mobilitywithcutting-edgemetadata solutions.
• Work with the Best: Join a world-class team of engineers, data scientists, and business leadersdriving Ford’s transformation.
• Impact at Scale: Your work will powerautonomous vehicles, connected car experiences, and AI-driven insights.
• Grow with Us: Ford is investing indata, AI, and digital transformation,providingendless opportunities for learning and growth.

• Define and execute the vision and roadmap for products in the Data Platform Engineering ensuring alignment with Ford’s broaderdata 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 metricsto measure adoption, discoverability, and quality.
• Lead the development of aData Catalogthat enables seamlesssearch, discovery, and governanceof enterprise-wide data assets.
• Developmetadata 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.

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Engineering, or related field
• 8+ years of Product Management experience, ideally with data, analytics, AI/ML, or developer tools.
• Strong grasp of cloud technologies, enterprise data platforms, and modern analytics ecosystems. Extensive experience with Google Cloud Platform (GCP) services for compute, storage, messaging, and data solutions (e.g., Cloud Run, Pub/Sub, Cloud Storage, and various data processing services)
• Experience setting KPIs and evaluation frameworks for AI/analytics products.
• Strong written and verbal communication skills; able to engage both executive and technical audiences.
• Experience working withbig data platforms (Snowflake, Databricks, Kafka) and API-based integrations.
• Demonstrated ability to work across cross-functional teams (engineering, ML, UX, business stakeholders) to drive end-to-end delivery.
• Excellent skills in user research, stakeholder engagement, and storytelling with data.

Preferred Qualifications:

• Master's degree in a relevant…