Data Analytics Engagement Supervisor

Ford Motor Company

Data Science Manager leading Ford’s customer modeling and Customer Lifetime Value analytics team. Developing predictive models that improve marketing personalization, retention, and investment decisions.

Posted 8/5/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $132,800 - $250,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data science teams and developing customer modeling frameworks, with a strong focus on predictive modeling, statistical methods, and marketing analytics. Proven ability to translate business objectives into actionable data science products while ensuring quality and compliance.

Highest-signal resume keywords

Customer Lifetime Value ModelingPredictive ModelingPython ProficiencySQL ProficiencyData Science Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical MethodsCustomer AnalyticsAdvanced AnalyticsCausal InferenceUplift ModelingExperimentationMarketing OptimizationFinancial ModelingCustomer Economics

Soft Skills

CoachingMentoringCommunicationTeam DevelopmentStakeholder Relationship Building

Tools & Technologies

Google Cloud PlatformMLOpsModel DeploymentProduction AnalyticsGenerative AI

Industry Keywords

Data ScienceMarketing AnalyticsDecision ScienceCustomer ModelingPerformance Management

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

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 team culture emphasizing technical rigor, innovation, accountability, continuous learning, and business partnership
Coach, mentor, and support career development and performance management of data scientists
Lead development and enhancement of Ford’s enterprise Customer Lifetime Value modeling framework
Define and guide predictive and prescriptive customer models for propensity, retention/churn, loyalty, purchase, conquest, service, upsell, cross-sell, next-best-action, and segmentation use cases
Drive causal inference, experimentation, marketing measurement, and uplift modeling to evaluate marketing programs and customer treatments
Translate strategic objectives and ambiguous business questions into analytical problems, scalable data science products, and actionable recommendations
Establish the customer-modeling roadmap with Marketing Analytics leadership
Oversee the full model lifecycle, including data sourcing, development, validation, deployment, monitoring, refreshes, documentation, and adoption
Provide technical oversight through model-design reviews, code reviews, validation processes, and data-science best practices
Ensure analytical products meet standards for quality, reproducibility, interpretability, performance, privacy compliance, and governance
Partner with technical, product, data engineering, and platform teams on scalable deployment and access to modeling outputs
Communicate modeling concepts, results, limitations, and recommendations to technical and non-technical audiences
Build stakeholder relationships across Marketing, FCSD, CX, Ford Credit, Integrated Services, and other enterprise partners
Drive continuous improvement using emerging methods, tools, and responsible Generative AI applications
Implement “Close the Loop,” OKR, and Performance+ objectives and processes within Marketing Analytics

Requirements

What you’ll need

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
Visa sponsorship is not available for this position
Must be legally authorized to work in the United States
Advanced degree in a listed quantitative field preferred
Preferred experience includes customer lifetime value modeling, financial modeling, customer economics, profitability analysis, causal inference, uplift modeling, experimentation, marketing optimization, customer modeling, Google Cloud Platform, model deployment, MLOps, model monitoring, production analytics, Generative AI, and relevant industry experience

Benefits

Comp & perks

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
Family building benefits including adoption and surrogacy expense reimbursement and fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
Generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off
Option to purchase additional vacation time