Data Analytics Engagement Supervisor

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. In this position... Ford Marketing Analytics is seeking a highly capable and technically grounded Data Science Manager to lead the Customer Modeling and Lifetime Value team. This LL6 leadership role will manage a team of 4–5 data scientists responsible for developing, deploying, and continuously improving customer propensity, predictive, prescriptive, and Customer Lifetime Value (CLV) models. This team plays a critical role in enabling more personalized, effective, and measurable marketing activity across the enterprise. The team’s work will support loyalty, retention, upsell, cross-sell, customer engagement, and marketing investment decisions, while helping Ford better understand the full value of its customer relationships. The Data Science Manager will lead development of Ford’s enterprise CLV framework: a central model and analytical foundation that brings together customer value streams across the company. This capability will help stakeholders understand the customer base, personalize communications and treatments, prioritize investments, and improve decision-making at both customer and portfolio levels. This individual will combine strong data science and methodological expertise with the ability to translate complex technical work into clear business value. They will partner closely with stakeholders across Marketing, FCSD, Customer Experience, Ford Credit, Integrated Services, and other functions to establish priorities, drive adoption, and integrate modeling outputs into business processes. While this role is primarily focused on North America, it may also support related customer-modeling activities in Europe and other regions. Responsibilities What you'll do... Lead and develop a team of 4–5 data scientists responsible for customer modeling, Customer Lifetime Value, and marketing decision-science capabilities. Establish a high-performing, collaborative team culture that emphasizes technical rigor, innovation, accountability, continuous learning, and strong business partnership. Coach, mentor, and support the career development and performance management of data scientists on the team. Lead the development and enhancement of Ford’s enterprise Customer Lifetime Value modeling framework, including retail and fleet/commercial CLV capabilities. Define and guide a portfolio of predictive and prescriptive customer models, including propensity, retention/churn, loyalty, purchase, conquest, service, upsell, cross-sell, next-best-action, and segmentation use cases. Drive the use of causal inference, experimentation, marketing measurement, and uplift modeling to evaluate the incremental impact of marketing programs and customer treatments. Partner with business stakeholders to translate strategic objectives and ambiguous business questions into clear analytical problems, scalable data science products, and actionable recommendations. Help establish the customer-modeling roadmap in partnership with Marketing Analytics leadership, balancing strategic priorities, business needs, technical feasibility, and expected value. Ensure the team manages the full model lifecycle, including business problem definition, data sourcing, model development, validation, deployment, performance monitoring, refreshes, documentation, and adoption. Provide technical oversight and methodological guidance through model-design reviews, code reviews, validation processes, and data-science best practices. Ensure models and analytical products meet high standards for quality, reproducibility, interpretability, performance, privacy compliance, and appropriate governance. Partner with technical, product, data engineering, and platform teams to enable scalable deployment and access to CLV and customer-modeling outputs through tools, interfaces, and business workflows. Communicate complex modeling concepts, results, limitations, and recommendations clearly to technical and non-technical audiences. Build strong relationships with stakeholders across Marketing, FCSD, CX, Ford Credit, Integrated Services, and other enterprise partners to drive broad adoption and measurable business impact. Drive continuous enhancement of data science practices through emerging methods, tools, and responsible application of Generative AI capabilities. Provide an excellent example of and expectation for Ford+ behaviors within the Marketing Analytics team. Implement “Close the Loop,” OKR, and Performance+ objectives and processes within Marketing Analytics. Qualifications You'll have.... Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Engineering, Operations Research, Finance, Marketing Analytics, or a related quantitative field. 5+ years of experience in data science, advanced analytics, customer analytics, marketing analytics, decision science, or a related field. 2+ years of experience leading technical projects, initiatives, or teams. Strong experience applying predictive modeling and statistical methods to business problems. Strong proficiency in Python and SQL. Even better, you may have... Advanced degree in Data Science, Statistics, Economics, Computer Science, Engineering, Operations Research, Finance, Marketing Analytics, or a related field. 10+ years of relevant data science, advanced analytics, customer analytics, or marketing analytics experience. 5+ years of experience leading, coaching, or managing technical teams. Direct experience developing, operationalizing, or improving Customer Lifetime Value models. Experience with financial modeling, customer economics, profitability analysis, or customer value measurement. Deep expertise in causal inference, uplift modeling, treatment-effect estimation, experimentation, or marketing optimization. Experience developing customer models in support of loyalty, acquisition, retention, CRM, personalization, cross-sell, upsell, or next-best-action programs. Experience with cloud-based analytics and machine-learning platforms, particularly Google Cloud Platform. Familiarity with model deployment, MLOps, model monitoring, production analytics, and scalable data-science product development. Experience applying Generative AI tools and capabilities to improve data-science workflows, analytical products, or business processes. Experience in automotive, mobility, financial services, subscription businesses, MarTech, CRM, or marketing optimization. Demonstrated success driving adoption of analytical products across complex organizations and integrating model outputs into business decision processes. 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 $132,800-$250,800. 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. 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 View phone number on click.appcast.io. This position is hybrid with a requirement to be onsite four or more days per week. #LI-Hybrid

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About Us At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation. About the Team We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners. We seek to provide the thought leadership essential to achieving Ford’s strategic objectives. We translate insight into action by driving toward robust points of view, timely decisions and responsible allocation of enterprise resources. Job Info Job Identification 67625 Job Category Global Data Insight & Analytics Posting Date 08/05/2026, 05:31 PM Apply Before 08/28/2026, 12:00 AM Degree Level Bachelor's Degree or equivalent Job Schedule Full time Locations 17000 Rotunda Dr, Dearborn, MI, 48120, US (Hybrid) #J-18808-Ljbffr Motorsport Hackers