Data Platform Product Manager

Lead the strategy, development, and roadmap for Ford's Data Platform Engineering products, including Data Catalog, Data Product Creation, and Metadata Management, driving governance, discoverability, and AI-ready data assets across cloud and enterprise ecosystems.

Responsibilities

• Define and execute the vision and roadmap for Data Platform Engineering products, aligning with Ford's broader data and analytics strategy.
• Lead user discovery across business associates, plant engineers, analysts, and developers to ensure solutions address real pain points.
• Translate user needs into epics, PRDs, and evaluation benchmarks; prioritize features 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 data 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.

Requirements

• 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 (eg, Cloud Run, Pub/Sub, Cloud Storage, and related 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.

Technologies

• Google Cloud Platform (GCP) and related services including Cloud Run, Pub/Sub, Cloud Storage
• Snowflake
• Databricks
• Kafka

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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

Overview

• Job Type: Full time
• Work Type: Hybrid
• Location: Dearborn, MI
• Salary: USD 99,600 - 192,900 per year
• Minimum Experience: 8 years
• Education: Bachelor’s Degree in Computer Science, Engineering, or related field

Why join us

• Be a Data Pioneer shaping the future of data driven mobility with advanced metadata solutions
• Collaborate with engineers, data scientists, and business leaders driving Ford’s transformation
• Contribute at scale to autonomous vehicles, connected car experiences, and AI-driven insights
• Grow with Ford through continuous investment in data, AI, and digital transformation