Data Platform Product Manager

Responsibilities

• Define and execute the vision and roadmap for products in the Data Platform Engineering ensuring alignment with Ford’s broader data and analytics strategy.
• Lead user discovery and research across multiple personas (business associates, plant engineers, analysts, developers) to ensure solutions address real pain points.
• Translate user needs into epics, PRDs, and evaluation benchmarks; prioritize features and enhancements using impact-driven frameworks.
• Drive adoption and continuous improvement of solutions, enhancing data governance, operational efficiency, and regulatory compliance.
• Define KPIs and success metrics to measure adoption, discoverability, and quality.
• Lead the development of a Data Catalog that enables seamless search, discovery, and governance of enterprise-wide data assets.
• Develop metadata governance models, ensuring metadata standardization, data stewardship, and AI-driven metadata automation.
• Partner with engineering, data science, and platform teams to deliver scalable and secure solutions across cloud and enterprise ecosystems.
• Communicate product strategy and progress to senior leadership and stakeholders, influencing adoption and organizational alignment.
• Build and maintain success metrics around adoption, accuracy, usability, and performance to guide continuous improvement.

• Bachelor’s Degree in Computer Science, Engineering, or related field
• 8+ years of Product Management experience, ideally with data, analytics, AI/ML, or developer tools.
• Strong grasp of cloud technologies, enterprise data platforms, and modern analytics ecosystems. Extensive experience with Google Cloud Platform (GCP) services for compute, storage, messaging, and data solutions (e.g., Cloud Run, Pub/Sub, Cloud Storage, and various data processing services)
• Experience setting KPIs and evaluation frameworks for AI/analytics products.
• Strong written and verbal communication skills; able to engage both executive and technical audiences.
• Experience working with big data platforms (Snowflake, Databricks, Kafka) and API-based integrations.
• Demonstrated ability to work across cross-functional teams (engineering, ML, UX, business stakeholders) to drive end-to-end delivery.
• Excellent skills in user research, stakeholder engagement, and storytelling with data.

• Bachelor’s Degree in Computer Science
• Bachelor’s Degree in Engineering