Senior Data Product Manager
Listed on 2026-01-12
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IT/Tech
Data Analyst, Data Engineer, Data Security, Data Science 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 TechnologyEnterprise 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.
Inthis position…
We are looking for a Senior Data Product Manager – Data Discovery for 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… 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.
- 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.
- 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).
- 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.
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems or related field or a combination of education and equivalent work experience
- 7+ years of experience working in Product Management, Product Owner or very similar roles
- 4+ years of experience in 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 products.
- Strong knowledge of metadata standards (Open Metadata, Apache Atlas, Collibra, Alation, Atlan, Amundsen) and data governance frameworks.
- Experience working with big data platforms (Snowflake, Databricks, Kafka, Presto) and API-based integrations.
- Master’s Degree in Computer Science, Computer Engineering, Information Systems or related field
- Data platform data center experience
- Experience working as a Data Analyst/ Engineer prior to moving into Product Manager roles
- Familiarity with data access controls, security, and privacy regulations (GDPR, DPDPA, CCPA, HIPAA).
- Exceptional…
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