Ford Racing Customer Data and Analytics Manager

Ford•Allen Park, MI
•$115,500 - $218,100•Hybrid

About The Position

The Ford Racing Customer Data and Analytics Manager establishes a foundational data architecture for sourcing, connecting, and maintaining Ford Racing customer knowledge. The role creates a single source of truth and turns customer data into actionable business insights. The position works across Ford Racing customer touchpoints—including vehicle sales, parts, services, merchandise, experiences, and events—and partners with enterprise teams to use platforms and governance effectively. It also evaluates third-party data partnerships, develops integrated data solutions, communicates findings as evidence-based conclusions, maintains a customer knowledge repository, and owns privacy consent compliance for Ford Racing customer data.

Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Business Analytics, or a related quantitative field, or an equivalent combination of relevant education and experience.
  • Experience with Ford-held enterprise data, such as vehicle sales, service and repair orders, connected vehicle, finance, and merchandise sales.
  • Familiarity with third-party automotive and consumer data sources, such as S&P Global Mobility, J.D. Power, Experian, Wealth-X, and syndicated consumer studies.
  • 4–6 years of hands-on experience using data management and analytics tools, such as GCP/BigQuery, advanced SQL, and Power BI or equivalent, to build, maintain, and report from production data assets.
  • Demonstrated ability to work across the full data spectrum, from strategy and problem framing through solution design, 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 and 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.
  • Legally authorized to work in the United States; employment eligibility verification is required at hire.

Nice To Haves

  • Master's degree in Data Science, Analytics, Business Analytics, or an MBA.
  • Cloud or data platform certifications, such as Google Cloud Professional Data Engineer.
  • Background in customer or marketing analytics, or CRM data ecosystems.

Responsibilities

  • Source, connect, and maintain a single source of truth for customer data across vehicle sales, parts, services, merchandise, experiences, and events.
  • Partner cross-functionally with GDIA, FCSD, Connected Vehicle, Quality, Marketing, Sales, and other teams to operate within enterprise platforms and governance.
  • Identify, evaluate, and manage third-party data partnerships that extend Ford Racing customer knowledge beyond internal sources.
  • Frame customer-related questions from internal teams, assess whether internal and external data already provide answers, and build new integrated data solutions where applicable.
  • Synthesize findings into narrated conclusions with clear implications supported by data, rather than presenting raw outputs.
  • Establish 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 data from third-party sources.

Benefits

  • Immediate medical, dental, vision, and prescription drug coverage.
  • Flexible family care days, paid parental leave, new parent ramp-up programs, and subsidized backup child care.
  • Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments.
  • 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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