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Data Product Manager

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: Ford Global Career Site
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 115000 - 192900 USD Yearly USD 115000.00 192900.00 YEAR
Job Description & How to Apply Below

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....

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.

Work effectively within an agile team environment, collaborating closely with GDIA Analytics Teams, Enterprise Business Requestor, Data Engineers, and other stakeholders.

Build strong partnerships across business, data source, and engineering teams for cross-team collaboration.

Clearly communicate technical information to both technical and non-technical audiences.

Constantly apply prioritization principles across all work.

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.

Ensure:

Data products meet defined data engineering standards before release.

Data quality and integrity throughout the data product lifecycle.

Understand and support established data governance policies and procedures.

Routinely track data source and product usage.

Leverage market research and competitor analysis, providing insights to inform data product strategy.

Qualifications

You’ll have....

  • Bachelors Degree in Engineering, Computer Science or equivalent (Masters Degree preferred).
  • Minimum 3 years experience in a Data Engineering or equivalent role
  • Demonstrated working knowledge or experience in Quality, Manufacturing and Product Development.

Even better, you may have....

  • Experience owning data products, platforms, or analytics solutions from concept through launch and ongoing enhancement.
  • Strong understanding of data architecture, data pipelines, APIs, data models, and modern cloud data platforms
    .
  • Experience translating complex business problems and data requirements into clear product strategies, roadmaps, and user stories
    .
  • Demonstrated ability to work closely with Data Engineering, Data Science, Software Engineering, Analytics, and business stakeholders
    .

Experience defining and tracking data quality,…

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