Data Analytics Engagement Supervisor
HybridDearborn, Michigan, United States
Job Summary
Lead the Customer Modeling and Lifetime Value team by developing, deploying, and continuously improving customer propensity, predictive, prescriptive, and Customer Lifetime Value models. Establish the enterprise CLV framework to enable personalized marketing activity, support loyalty and retention strategies, and drive investment decisions across the enterprise. Partner with stakeholders in Marketing, Customer Experience, and Ford Credit to establish priorities, drive adoption, and integrate modeling outputs into business processes. Manage a team of four to five data scientists while translating complex technical work into clear business value for decision-making at both customer and portfolio levels.
Required Qualifications
- Data Science Manager
- LL6 leadership role
- manage a team of 4–5 data scientists
- developing, deploying, and continuously improving customer propensity, predictive, prescriptive, and Customer Lifetime Value (CLV) models
- strong data science and methodological expertise
- ability to translate complex technical work into clear business value
- partner closely with stakeholders across Marketing, FCSD, Customer Experience, Ford Credit, Integrated Services, and other functions
- establish priorities
- drive adoption
- integrate modeling outputs into business processes
- primarily focused on North America
- support related customer-modeling activities in Europe and other regions
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