Job description

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 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. You will work across teams to integrate product solutions with data access, data quality, security, governance, and analytics products, ensuring Ford’s 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. Why Join Us • Be a Data Pioneer: Shape the future of data-driven mobility with cutting-edge metadata solutions. • Work with the Best: Join a world-class team of engineers, data scientists, and business leaders driving Ford’s transformation. • Impact at Scale: Your work will power autonomous vehicles, connected car experiences, and AI-driven insights. • Grow with Us: Ford 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’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. 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 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: • 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. • 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. 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: 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: fordcareers.co Visa sponsorship is available for this position. Domestic relocation is 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 1-888-336-0660. 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

Requirements

Must-haves

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.
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.
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.
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.

Nice-to-haves

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.
Immediate medical, dental, vision and prescription drug coverage
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
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Parental Leave