Ford Motor Company

Manager, Data Science – AI Strategy

Ford Motor Company

full-time

Posted on:

Location Type: Hybrid

Location: Dearborn • Missouri • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

  • We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? **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.
  • The **Data Science Leader** is a critical leadership position responsible for shaping and executing Ford’s Data Science and AI strategy within Integrated Services (IS) Analytics. This role will be instrumental in driving the transformation of IS Analytics through advanced data science, machine learning, and AI technologies. This individual will lead end-to-end delivery of Data Science and AI products, scale solutions across platforms, and establish best-in-class Data Science and AI engineering practices.
  • As a hands-on leader, this individual will:
  • - Define and communicate advanced analytics and AI roadmap aligned with Integrated Services strategic priorities.
  • - Build and mentor IS Analytics teams, fostering innovation and technical excellence.
  • - Engage directly in solution design, model development, and deployment to ensure scalability and reliability.
  • - Collaborate with business and technology stakeholders to integrate Data Science and AI into core offerings and deliver measurable outcomes.
  • This role requires a unique blend of strategic foresight, technical depth, and leadership capability to transform IS and position Ford as a leader in Data Science and AI-driven customer experiences.

Requirements

  • Education: Master’s Degree in a related field (e.g., Data Science, Predictive Analytics, Statistics, AI, Applied Mathematics, Computer Science).
  • Delivery Leadership: Seasoned leader in Data Science and AI applications, with proven experience delivering and scaling multiple advanced analytical and AI solutions in production environments.
  • Technical Expertise: 3+ years of hands-on experience with advanced analytics, machine learning, and data science software (e.g., Python-based tools), with experience in Generative AI or Agentic AI a plus.
  • Experience using cloud platforms (Azure, AWS, or GCP) and enterprise Data Science/AI platforms.
  • Demonstrated proficiency in modern ML frameworks, statistical modeling, and data analysis techniques. Experience with Gen AI technologies is a plus.
  • Leadership & Team Development: 3+ years leading and managing direct reports. Proven ability to hire, grow, and mentor high-performing AI and Data Science teams.
  • Preferred Requirements: PhD in a related field (e.g., Data Science, Machine Learning, Statistics, Applied Mathematics, Computer Science, AI). Expertise in advanced and predictive analytical methods (e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, Regression, Image Processing, NLP). Working knowledge of Google Cloud Platform (GCP). Expertise in open-source data science technologies such as Python, R, Spark, SQL.
Benefits
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningadvanced analyticspredictive analyticsstatistical modelingdata analysisGenerative AIAgentic AIPythonSQL
Soft skills
leadershipteam developmentmentoringstrategic foresightinnovationcommunicationcollaborationproblem-solvingtechnical excellencedelivery leadership
Certifications
Master’s Degree in Data SciencePhD in Data Science