
Group Data Product Manager
- Dearborn, MI
- Permanent
- Full-time
- 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.
- 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
- 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 products.
- Strong knowledge of metadata standards (DCAT, 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.2+ years of experience leading others, preferably data analysts/engineers/developers or similar
- Master's Degree in Computer Science, Computer Engineering, Systems Engineering 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 stakeholder management and communication skills, with the ability to align business, engineering, and governance teams.
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.