<p>We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.</p> <p>As part of our Manufacturing team, you'll help build the world-class, state-of-the-art smart vehicles we're known for. In our plants around the world, we're constantly developing new technologies and processes to further increase our efficiency. You'll get the satisfaction of making great products people use and love.</p> <p>In this position...</p> <p>Ford is building the next generation of technologies and capabilities for manufacturing - and data is at the center of making those systems smarter, safer, and more scalable. As a Principal Data Product Manager on Ford's Advanced Industrial Technology & Platforms (ATP) team, you'll lead the strategy and delivery of data products that power manufacturing technology products in production systems, robotics and automation, vision systems and additive manufacturing.</p> <p>You'll work across operations technology (OT) and enterprise IT to ensure data is captured, governed, and delivered in ways that are secure, reliable, and ready for scale across multiple sites.</p> <p>Location: Dearborn area preferred. Hybrid is expected; remote considered for the most qualified candidates.</p> <p>Principal Product Manager position working on Core Data Systems in the Advanced Industrial Technology & Platforms Organization.</p> <p>What you'll do...</p> <ul> <li> <p>Define the vision and roadmap for ATP's core data systems products, aligned to business outcomes and platform scalability.</p> </li><li> <p>Build and evolve data products such as:</p> </li><li> <p>Robotics telemetry and event datasets (health, faults, tasks, utilization)</p> </li><li> <p>Fleet and site performance datasets and metrics layers</p> </li><li> <p>Vision datasets (images/video) with metadata, labeling workflows, and training-ready packaging</p> </li><li> <p>APIs and curated datasets that enable analytics and ML teams to move faster</p> </li><li> <p>Contextualization of data from the shopfloor and analytics.</p> </li><li> <p>Partner with engineering, data science, and operations to define requirements for data quality, latency, reliability, and cost-especially for high-volume image/video data.</p> </li><li> <p>Drive standardization across systems and suppliers by defining schemas and data contracts that work across sites and robotics platforms.</p> </li><li> <p>Establish a clear approach to data access and governance across OT and IT environments (security, privacy, retention, auditability).</p> </li><li> <p>Measure adoption and impact-tracking product usage, data quality and availability, and operational outcomes enabled by your data products.</p> </li><li> <p>Lead cross-functional alignment and decision-making across manufacturing/operations, engineering, cybersecurity, IT, and key partners-without needing formal people leadership.</p> </li></ul> <p>What you'll do...</p> <ul> <li> <p>Define the vision and roadmap for ATP's core data systems products, aligned to business outcomes and platform scalability.</p> </li><li> <p>Build and evolve data products such as:</p> </li><li> <p>Robotics telemetry and event datasets (health, faults, tasks, utilization)</p> </li><li> <p>Fleet and site performance datasets and metrics layers</p> </li><li> <p>Vision datasets (images/video) with metadata, labeling workflows, and training-ready packaging</p> </li><li> <p>APIs and curated datasets that enable analytics and ML teams to move faster</p> </li><li> <p>Contextualization of data from the shopfloor and analytics.</p> </li><li> <p>Partner with engineering, data science, and operations to define requirements for data quality, latency, reliability, and cost-especially for high-volume image/video data.</p> </li><li> <p>Drive standardization across systems and suppliers by defining schemas and data contracts that work across sites and robotics platforms.</p> </li><li> <p>Establish a clear approach to data access and governance across OT and IT environments (security, privacy, retention, auditability).</p> </li><li> <p>Measure adoption and impact-tracking product usage, data quality and availability, and operational outcomes enabled by your data products.</p> </li><li> <p>Lead cross-functional alignment and decision-making across manufacturing/operations, engineering, cybersecurity, IT, and key partners-without needing formal people leadership.</p> </li></ul>