Sr. Product Manager, Vehicle Health Insights

Dearborn, MI, United States

Ford Motor Company

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We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 

Launched in 2023, Integrated Services creates and markets new customer experiences by integrating hardware, software and services across Ford Blue, Model e and Ford Pro. These products and services allow Ford's retail and commercial customers to customize their vehicles like never before with OTA (over-the-air)-driven experiences that grow better over time. Ford is developing leadership at the forefront of connected, digital platforms that will revolutionize every aspect of how vehicles function, the way people interact with them, and the value those vehicles provide.

In this position... 

Are you a technically grounded Product Manager passionate about leveraging data to solve complex real-world problems? Do you thrive in challenging cross-functional environments and believe that product quality is paramount?

We are seeking a skilled and resilient Vehicle Health Product Manager to own the strategy, definition, and delivery of actionable vehicle health insights for Ford and Lincoln connected vehicles. In this role, you will bridge the gap between deep technical data analysis, advanced ML models, and tangible customer and business value, focusing relentlessly on the accuracy and trustworthiness of the insights delivered. You will be instrumental in transforming raw vehicle signals into intelligence that proactively enhances vehicle uptime, improves the customer experience, and drives revenue opportunities across retail, commercial fleet, and subscription services.

What you'll do...

  • Define & Deliver High-Quality Insights: 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.
  • Technical Partnership & Model Guidance: Collaborate deeply with Data Science and Engineering teams, leveraging your strong engineering background in data analytics; your deep technical understanding of data science, data-driven solutions and your in-depth knowledge in vehicle systems and data.
  • Establish Benchmarks & Validate Truth: Define rigorous statistical benchmarks to understand normal vs. abnormal vehicle behavior. Establish and enforce robust Ground Truth validation methods, utilizing real-world outcomes to ensure insights accurately reflect vehicle reality.
  • Set Quality Standards & Thresholds: Define and enforce strict quality metrics, including acceptable False Positive and False Negative Rates, to ensure insights are trustworthy, minimize false alarms, and do not miss critical issues. Define clear confidence thresholds for when an insight is actionable and ready for customer communication.
  • Navigate Cross-Functional Complexity: Drive collaboration and alignment across diverse internal teams. Navigate challenging discussions and build consensus to ensure insights translate into real customer action and business impact.
  • Deep Domain Expertise: Apply your in-depth knowledge of vehicle telemetry, specific signals, Diagnostic Trouble Codes (DTCs), and vehicle systems to inform insight development, data validation, and technical discussions.
  • Implement Continuous Improvement: Define "litmus tests" for insight quality and readiness. Establish feedback loops from field teams and customers to measure real-world predictive performance and drive continuous model and insight refinement.

You'll have... 

  • Bachelor's degree required in Engineering, Data Science, Computer Science, or a related technical field of study.
  • 8+ years of experience in technical product management, data-driven product development, vehicle health, telematics, or a related domain.
  • Demonstrated experience in Data Analytics and Data Science, with the ability to understand data pipelines, statistical analysis, and data validation techniques.
  • Deep technical understanding of Machine Learning models and how they are built, trained, validated, and deployed in production systems. Comfort engaging in technical discussions with data scientists and engineers.
  • In-depth knowledge of vehicle telemetry, specific vehicle signals, and Diagnostic Trouble Codes (DTCs).
  • Proven ability to define and manage product quality metrics, including False Positive Rate, False Negative Rate, Precision, and Recall, and understand their impact on customers and operations.
  • Experience establishing and implementing Ground Truth validation methodologies for data-driven insights.
  • Strong SQL skills for data exploration, validation, and analysis.
  • Demonstrated ability to work effectively and maintain composure in complex, cross-functional environments, navigating challenging partnerships and building consensus.
  • Strong focus on prioritization and identifying the highest-impact opportunities.
  • Excellent communication, presentation, and evangelism skills, with the ability to articulate complex technical concepts and their business value to diverse audiences, including executive leadership.
  • Operational fluency and understanding of how connected vehicle insights can drive real-world business impact (e.g., service bay visits, parts sales, uptime improvement).

Even better, you may have...

  • Master's degree in Engineering, Data Science, or a related technical field.
  • Experience writing detailed product specifications for data-intensive or ML-driven features.
  • Direct experience in the Automotive, Fleet Management, or Vehicle Telematics industry.
  • Experience with Bayesian modeling or other advanced statistical techniques for handling data variability.

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. 

For more information on salary and benefits, click here: https://fordcareers.co/LL6SP2 

This position is a leadership level 6.

Visa sponsorship 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 1-888-336-0660.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Bayesian Computer Science CX Data analysis Data Analytics Data pipelines Engineering Machine Learning ML models Pipelines SQL Statistics

Perks/benefits: Career development Fertility benefits Flex hours Flex vacation Health care Medical leave Parental leave

Region: North America
Country: United States

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