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 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. 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 Established and active employee resource groups 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 Experience managing Data Catalog, Data Lineage, Metadata Management, or Data Classification products. 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. Visa sponsorship is not available for this position. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. LI- hybrid LI-LA1
