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Ford Motor Company

Product Manager – Senior Specialist

Ford Motor Company

Vehicle Health Product Manager focused on delivering actionable vehicle health insights for connected vehicles. Bridging technical data analysis and customer value to enhance vehicle uptime and experience.

Posted 5/15/2026full-timeDearborn • 🇺🇸 United StatesSenior💰 $132,800 - $250,800 per yearWebsite

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Define & Deliver High-Quality Insights: You will own the end-to-end lifecycle for vehicle health insights, from identifying high-impact opportunities to ensuring successful delivery and adoption by customers, dealers, and fleet partners.
  • Define "Truth" in a World of Imperfect Data: In the real world, ground truth is rare and messy. You will be the leader who defines our approach to validation, creating robust methodologies and statistical benchmarks to rigorously measure and prove the accuracy of our models.
  • Champion Uncompromising Quality: You will be the ultimate authority on product quality, setting the bar for what makes an insight "ready for production." You will define the critical metrics and establish the confidence thresholds that determine when an insight is ready to be shared with customers, dealers, or fleet managers.
  • Serve as the Bridge Between Worlds: You will be the central hub, translating complex business needs into technical requirements for our Data Science and Engineering teams. Conversely, you will articulate the value and limitations of our insights and predictive models to business leaders and partners.
  • Champion Data Privacy & Legal Compliance: You will act as the primary steward of customer trust by driving all data privacy approvals for new features. Working in lockstep with Engineering and the Office of the General Counsel (OGC), you will provide strategic privacy guidance and ensure our predictive models and data pipelines strictly adhere to legal requirements.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience.
  • 8+ years of experience in technical product management, with a track record of launching and scaling data-intensive or AI/ML-driven products.
  • Experience writing detailed product requirement documents (PRDs) for complex, data-heavy features.
  • Demonstrated fluency in data analytics and data science principles. You don't need to build the models, but you must understand how they are built, validated, and what can go wrong.
  • Hands-on experience with data exploration and validation; proficiency with SQL is essential.
  • Proven ability to define and manage a portfolio of product quality and business metrics. You can not only define Precision/Recall but can explain the business impact of choosing one over the other.

Benefits

Comp & perks
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data analyticsdata science principlesSQLproduct requirement documentsdata explorationdata validationproduct quality metricsbusiness metricsAI/ML-driven productsstatistical benchmarks
Soft Skills
leadershipcommunicationtranslation of business needsarticulation of valuecustomer trust stewardshipcollaborationstrategic guidanceproblem-solvingcritical thinkingquality assurance
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in Data Science