Job description

Racing is where our story began. In 1901, Henry Ford climbed into a car he built himself—"Sweepstakes"—and beat America's most famous driver. He wasn't a racer, but he had to win. He did. Ford Motor Company was born from that victory. That fighting spirit lives on in Ford Racing today. We're the engineers, strategists, and competitors who bring Ford's track-tested edge into every vehicle we build. Every track, every stage, every proving ground—that's where we prove ourselves. The result: one of the world's most iconic brands, legendary nameplates, and a team unmatched in the industry. Our mantra: Race to win, engineer to lead. If you're a competitor, innovator, or performance obsessive, Ford Racing is where you belong. Help us write the next chapter. In this position... • This role establishes a foundational data architecture for sourcing, connecting, and maintaining Ford Racing customer knowledge - creating a single source of truth, and synthesizing it into a point of view the business can act on What you'll do... • Source, connect and maintain a single source of truth for customer data across all touchpoints (vehicle sales, parts, services, merchandise, experiences, and events) • Partner cross-functionally (GDIA, FCSD, Connected Vehicle, Quality, Marketing, Sales, etc) to efficiently operate within enterprise platforms and governance • Identify, evaluate and manage third-party data partnerships that extend Ford Racing customer knowledge beyond internal sources (Wealth-X, WealthEngine and equivalents) • Frame customer-related questions from internal teams, screen them against internal and external data for existing answers, and build new integrated data solutions where applicable • Synthesize findings as narrated conclusions with clear implications supported in data, not raw outputs • Stand up and maintain a Ford Racing customer knowledge repository to catalogue existing and future studies and findings • Own privacy consent compliance for all Ford Racing customer data, including third-party sources You'll have... • Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related quantitative field or equivalent combination of relevant education and experience. • Experience with Ford-held data across the enterprise (vehicle sales, service and repair order, connected vehicle, finance, merchandise sales, etc) • Familiarity with third-party automotive and consumer data sources (S&P Global Mobility, J.D. Power, Experian, Wealth-X, syndicated consumer studies) • 4–6 years of hands-on experience using data management and analytics (GCP/BigQuery, advanced SQL, Power BI or equivalent) to build, maintain and report from production data assets • Demonstrated ability to operate across the full data spectrum- from strategy and problem framing, through solution design, to hands-on data engineering and analysis • Working knowledge of data privacy and consent • Experience establishing a knowledge management or research repository from scratch • Comfort operating as the sole data resource in a function, building the capability rather than inheriting it • Demonstrated ability to synthesize findings across disparate and sometimes conflicting sources into a clear, defensible point of view and recommendations Even better, you may have... • Master's degree in Data Science, Analytics, Business Analytics, or MBA • Cloud/data platform certifications (e.g., Google Cloud Professional Data Engineer, given your GCP/BigQuery mention) • Background in customer/marketing analytics or CRM data ecosystems 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 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. This position is leadership level 6 and ranges from $115,500-$218,100. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: fordcareers.co 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. This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid #FR1 #LI-MK2 Ford Racing Customer Data and Analytics Manager

Requirements

Must-haves

Racing is where our story began.
In 1901, Henry Ford climbed into a car he built himself—"Sweepstakes"—and beat America's most famous driver. He wasn't a racer, but he had to win. He did. Ford Motor Company was born from that victory.
The result: one of the world's most iconic brands, legendary nameplates, and a team unmatched in the industry.
Our mantra: Race to win, engineer to lead.
If you're a competitor, innovator, or performance obsessive, Ford Racing is where you belong. Help us write the next chapter.
In this position...
What you'll do...
Source, connect and maintain a single source of truth for customer data across all touchpoints (vehicle sales, parts, services, merchandise, experiences, and events)
Partner cross-functionally (GDIA, FCSD, Connected Vehicle, Quality, Marketing, Sales, etc) to efficiently operate within enterprise platforms and governance
Identify, evaluate and manage third-party data partnerships that extend Ford Racing customer knowledge beyond internal sources (Wealth-X, WealthEngine and equivalents)
Frame customer-related questions from internal teams, screen them against internal and external data for existing answers, and build new integrated data solutions where applicable
Synthesize findings as narrated conclusions with clear implications supported in data, not raw outputs
Stand up and maintain a Ford Racing customer knowledge repository to catalogue existing and future studies and findings
Own privacy consent compliance for all Ford Racing customer data, including third-party sources
You'll have...
Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related quantitative field or equivalent combination of relevant education and experience.
Experience with Ford-held data across the enterprise (vehicle sales, service and repair order, connected vehicle, finance, merchandise sales, etc)
Familiarity with third-party automotive and consumer data sources (S&P Global Mobility, J.D. Power, Experian, Wealth-X, syndicated consumer studies)
4–6 years of hands-on experience using data management and analytics (GCP/BigQuery, advanced SQL, Power BI or equivalent) to build, maintain and report from production data assets
Demonstrated ability to operate across the full data spectrum- from strategy and problem framing, through solution design, to hands-on data engineering and analysis
Working knowledge of data privacy and consent
Experience establishing a knowledge management or research repository from scratch
Comfort operating as the sole data resource in a function, building the capability rather than inheriting it
Demonstrated ability to synthesize findings across disparate and sometimes conflicting sources into a clear, defensible point of view and recommendations

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

gcpsql

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Parental Leave