Technical Data Product Management

Ford Motor Company

Technical Product Manager for Ford Pro’s Data Quality Platform, responsible for delivering a single, trusted view of product and data health. Collaborating with cross-functional teams to ensure effective operations across vehicle platforms.

Posted 5/14/2026full-timeDearborn • California, Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $99,100 - $182,800 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own the roadmap and execution of the Data Quality monitor.
Define and evolve standard, certified metrics for product health and data quality, prioritized by business impact
Product-manage the Data Quality Monitor as a platform, not a collection of reports.
Drive adoption and usability so teams can independently answer questions without ad-hoc support.
Make clear decisions on what capabilities are self-serve versus explicitly unsupported.
Lead cross-functional alignment across Engineering, Data Architecture, and Business teams to navigate trade-offs related to scale, performance, and data correctness.
Act as a strategic partner to senior leadership by translating complex data quality metrics into clear business impact and ROI narratives.
Establish, document, and evangelize data governance and data quality standards across Ford Pro and partner organizations.
Provide product leadership for complex investigations and triage, driving root cause resolution and long-term platform improvements rather than repeated manual intervention

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a technical field
5+ years of overall technical or industry experience, with at least 2-3 years specifically in Product Management
Strong ability to work with large-scale datasets (e.g., SQL, Python), including the ability to analyze data, validate hypotheses, and partner effectively with engineering and analytics teams
Experience leveraging analytics or AI-enabled tools to augment workflows and analysis, or building strong data quality foundations that enable future AI/ML-driven products
Experience defining, reviewing, or partnering on product health dashboards using analytics and reporting tools (e.g., Looker Studio, Amplitude, Power BI).
Experience collaborating closely with cross-functional engineering and analytics teams to deliver and validate data products.
Ability to quantify systemic vs one-off issues.
Excellent problem-solving and analytical skills, with a keen eye for detail.

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.

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Hard Skills & Tools

SQLPythondata analysisdata validationproduct managementdata governancedata quality metricsanalyticsAI-enabled toolsproduct health dashboards

Soft Skills

problem-solvinganalytical skillsattention to detailcross-functional collaborationstrategic partnershipcommunicationdecision-makingleadershipusability advocacytrade-off navigation

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in EngineeringBachelor's degree in a technical field