Data Platform Product Manager

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. Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are. We are looking for a visionarytechnical Product Managerto lead the strategy, development, and execution of Data Platform Engineering products. In this role, you will drive innovation and ensureseamless data discoverability, governance, and qualityby overseeing a suite of Data products, includingDataCatalog, Data Product Creation, and Metadata Management. You will work across teams tointegrate product solutions with data access, data quality, security, governance, and analytics products, ensuring Ford’s data assets aretrustworthy, compliant, and AI-ready. Your work will empower teams across Ford to make data-driven decisions that shape the future of mobility. Why Join Us Be a Data Pioneer: Shape the future ofdata-driven mobilitywithcutting-edgemetadata solutions. Work with the Best: Join a world-class team ofengineers, data scientists, and business leadersdriving Ford’s transformation. Impact at Scale: Your work will powerautonomous vehicles, connected car experiences, and AI-driven insights. Grow with Us: Ford is investing indata, AI, and digital transformation,providingendless opportunities for learning and growth. Responsibilities Define and execute the vision and roadmap for products in the Data Platform Engineering ensuring alignment with Ford’s broaderdata 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. DefineKPIs and success metricsto measure adoption, discoverability, and quality. Lead the development of aData Catalogthat enables seamlesssearch, discovery, and governanceof enterprise-wide data assets. Developmetadata 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. Qualifications Minimum Qualifications: 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 withbig 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. Preferred Qualifications: Master's degree in a relevant technical field. (Preferred, not necessary) Proven success in AI/ML-enabled products, with strong understanding of large language models (LLMs), NLP, and conversational interfaces. Strong understanding and experience with data-centric architectures, including data ingestion, transformation, storage, and consumption patterns, with an emphasis on data quality and integrity. Familiarity with distributed systems, microservices architectures, and event-driven patterns in a cloud environment. Experience with building and managing data pipelines, data integration, or enterprise system integration projects. Knowledge of monitoring, logging, and alerting best practices for production systems on GCP. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: 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. This position is a range of salary grades 7-8 and ranges from $99,600-$192,900. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: Visa sponsorship is not available for this position. Domestic relocation is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. 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 View phone number on click.appcast.io. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #LI-PW1 About Us At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation. About the Team We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people’s lives. Join the Ford family as we change the way the world moves. Job Info Job Identification 62924 Job Category Enterprise Technology Posting Date 05/26/2026, 08:35 PM Apply Before 06/19/2026, 09:00 PM Degree Level Bachelor's Degree or equivalent Job Schedule Full time Locations 17000 Rotunda Dr, Dearborn, MI, 48120, US (Hybrid) #J-18808-Ljbffr