Data Analytics Engagement Supervisor

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.

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.

Responsibilities

• 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.

Qualifications

• 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.

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.