Enterprise Data Platform Product Manager

About the Role
We are seeking a visionary Group Data Product Manager (GPM) - AI/ML & Metadata Management to lead the development of cutting-edge AI/ML-powered metadata solutions. This role focuses on creating a unified, user-friendly Data Platform to serve diverse personas like data engineers, producers, and consumers. By integrating multiple tools into a seamless platform, you ll enhance data discoverability, governance, and efficiency at scale.

What We re Looking For

• 8+ years of experience in data product management, metadata management, or AI/ML-powered product development.
• Proven expertise in managing metadata tools (e. g. , Data Catalog, Data Lineage, AI/ML integrations).
• Strong knowledge of metadata standards (e. g. , DCAT, OpenMetadata) and big data platforms (e. g. , Snowflake, Databricks, Kafka).
• Experience with unified data platform development to enhance user experience across diverse personas.
• Familiarity with data governance frameworks and regulations (GDPR, DPDPA, CCPA).
• Excellent communication and stakeholder management skills.

What You ll Do

• Lead Metadata Product Strategy: Drive the vision and roadmap for metadata solutions powered by AI/ML, enabling smarter, faster, and more reliable data usage across Ford.
• Build a Unified Data Platform: Integrate various tools (e. g. , Column Description Generator, Countryness, Chatbot, Code Generation) into a cohesive platform with a single UI to simplify and enhance user experience for data engineers, producers, and consumers.
• Develop AI/ML Solutions: Oversee AI/ML-based initiatives such as:
  • Column Description Generator: Automate and improve column descriptions to ensure consistency and quality across the data ecosystem.
  • Countryness: Automate country-specific data assignment to enhance security and compliance.
  • Chatbot: Build a smart, intuitive data guide to streamline discovery and understanding of data.
  • Code Generation: Use LLMs to automate query generation, code development, and workflow optimization for improved productivity.
• Enable Metadata-Driven Governance: Build tools like Data Catalogs and Data Lineage to empower users to discover, trust, and manage data effectively while ensuring compliance with regulations like GDPR, DPDPA, and CCPA.
• Foster Innovation: Leverage AI/ML to automate metadata management workflows, enabling Ford s data assets to be scalable, discoverable, and AI-ready.
• Collaborate Across Teams: Work with engineering, governance, and analytics teams to align metadata solutions with broader data platform strategies