Group Data Product Manager

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

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.

In this position…

We are looking for a visionary Group Data Product Manager (GPM) – Data Discovery to lead the strategy, development, and execution of metadata-related products. In this role, you will drive innovation and ensure seamless data discoverability, governance, and quality by overseeing a suite of metadata products, including Data Catalog, Data Lineage, Data Classification, and Metadata Management.

You will work across teams to integrate metadata 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.

What you'll do…

Lead Metadata Product Strategy

• Define and execute the metadata management vision and roadmap, ensuring alignment with Ford’s broader data and analytics strategy.
• Drive adoption and continuous improvement of metadata solutions, enhancing data governance, operational efficiency, and regulatory compliance.
• Define KPIs and success metrics to measure metadata adoption, discoverability, and quality.

 

Build and Scale Metadata Products

• Lead the development of a Data Catalog that enables seamless search, discovery, and governance of enterprise-wide data assets.
• Oversee Data Lineage capabilities to track data movement and transformation across Ford’s diverse ecosystem.
• Implement Data Classification frameworks to categorize and tag datasets based on sensitivity, usage, and compliance requirements.
• Develop metadata governance models, ensuring metadata standardization, data stewardship, and AI-driven metadata automation.

 

Integrate Metadata with Key Data Functions

• Ensure seamless integration of metadata products with Data Access, Data Quality, Security, and Governance solutions.
• Work closely with engineering teams to build metadata ingestion pipelines, APIs, and automation workflows.
• Partner with Data Governance, Risk, and Compliance teams to ensure metadata policies align with industry standards (e.g., GDPR, DPDPA, CCPA).

 

Drive Operational Excellence and Innovation

• Implement best practices for metadata lifecycle management, ensuring Ford’s data assets are AI-ready and discoverable.
• Optimize metadata retrieval, scalability, and performance to support large-scale, distributed data environments.
• Enable self-service metadata discovery for data analysts, engineers, and business users.

 

Other things you’ll get to do…

• Innovate: Work at the intersection of AI, automation, and metadata management, designing solutions that power Ford’s next-generation mobility solutions.
• Collaborate Globally: Work with cross-functional teams across engineering, governance, analytics, and business to create a world-class metadata ecosystem.
• Shape Ford’s Data Culture: Drive data literacy and metadata adoption, ensuring every team at Ford can easily discover and trust the data they use.
• Lead in a Fast-Paced Environment: Ford is undergoing a digital transformation—you’ll be a key leader in shaping its data foundation for the future.
• Impact at Scale: Your work will enable AI-driven insights, autonomous vehicle development, and connected car experiences, making Ford a leader in data-driven innovation

You'll have...

• Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering or related field or a combination of education and equivalent work experience 
• 8+ years of experience working in Product Management, Product Owner or very similar roles
• 2+ years of experience leading others,  preferably data analysts/engineers/developers or similar.
• 5+ years of experience within data product management, metadata management, or data governance with skills including but not limited to the following:
  • Experience managing Data Catalog, Data Lineage, Metadata Management, or Data Classification p