Data Product Manager
US$115,000 – US$193,000 / yr base salary
Posted 30 Sep 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- 8
- Expected experience
- 3+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Visa sponsorship
- Not offered
| Base salary | US$115,000 – US$193,000 / yr |
|---|
Field of studyComputer Science, Engineering (or related)
Study levelBachelor's
Study levelMaster's
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.
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
In this position....
The Data Product Management Analyst is a key member of the Data Product Management Team. The Data Product Analyst will drive strategic thinking for Ford’s Enterprise Data Platform (EDP) and will responsible for contributing to the development, implementation, and lifecycle management of high-quality reusable foundational data products, bringing in strategic sources for enterprise needs, and data capabilities.
This role involves close collaboration with Ford skill teams, Analytic, GDIA DPE Teams, especially Central Engineering, and other stakeholders to translate business needs into technical solutions. The Analyst will focus on specific aspects of the data product lifecycle as well as new opportunities to support prioritized Ford initiatives with data.
Responsibilities
What you'll do....
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Support data product development decisions, identifying trends, patterns, synergies, and areas for improvement, while also identifying opportunities to combine existing data assets into new, high-value solutions for the enterprise.
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Work effectively within an agile team environment, collaborating closely with GDIA Analytics Teams, Enterprise Business Requestor, Data Engineers, and other stakeholders.
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Build strong partnerships across business, data source, and engineering teams for cross-team collaboration.
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Clearly communicate technical information to both technical and non-technical audiences.
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Constantly apply prioritization principles across all work.
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Actively contribute to quarterly planning by developing and maintaining a strategic, quarter-over-quarter roadmap. You will be a part of the team responsible for tracking delivery against this roadmap and reporting on the realized business value of completed work to stakeholders and leadership.