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Overview
At Ford, you\u2019ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we\u2019re shaping the next era of transportation\u2014grounded in purpose, driven by progress. Make your move.<\/p>\n
Job Type: Full time
Work Type: Hybrid<\/p>\n
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We made history and now we work to transform the future \u2013 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>\n
Enterprise Technology\u00a0plays a critical part in shaping the future of mobility. If you\u2019re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people\u2019s 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.<\/p>\n
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We are looking for a visionary technical Product Manager to lead the strategy, development, and execution of Data Platform Engineering products. In this role, you will drive innovation and ensure seamless data discoverability, governance, and quality by overseeing a suite of Data products, including Data Catalog, Data Product Creation, and Metadata Management.<\/p>\n
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You will work across teams to integrate product solutions with data access, data quality, security, governance, and analytics products, ensuring Ford\u2019s data assets are trustworthy, compliant, and AI-ready. Your work will empower teams across Ford to make data-driven decisions that shape the future of mobility.<\/p>\n
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Why Join Us<\/p>\n
Be a Data Pioneer:\u00a0Shape the future of data-driven mobility with cutting-edge metadata solutions.
Work with the Best:\u00a0Join a world-class team of engineers, data scientists, and business leaders driving Ford\u2019s transformation.
Impact at Scale:\u00a0Your work will power autonomous vehicles, connected car experiences, and AI-driven insights.
Grow with Us:\u00a0Ford is investing in data, AI, and digital transformation, providing endless opportunities for learning and growth.
Define and execute the vision and roadmap for products in the Data Platform Engineering ensuring alignment with Ford\u2019s 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.
Minimum Qualifications:<\/p>\n
Bachelor\u2019s 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.
Preferred Qualifications:<\/p>\n
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.
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Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
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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: https:\/\/fordcareers.co\/GSR<\/p>\n
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Domestic relocation is available for this position.<\/p>\n
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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.<\/p>\n
#LI-Hybrid<\/p>\n
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