Manager, Customer Data, Analytics & Tools

Ford Motor Company

Manager managing customer data and analytics at Ford, leading data projects and storytelling. Collaborating across teams to drive strategic insights and decisions based on data analysis.

Posted 5/30/2026full-timeDearborn • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $132,800 - $250,800 per yearWebsite

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Lead Analytical Workstreams: Manage the full data lifecycle - from defining the business question to data hygiene and executing cluster/segmentation models. Specific examples include:
Executing complex analysis of survey data.
Integrating research findings with desk research sources, including but not limited to the New Vehicle Customer Survey (NVCS), S&P, and Ford internal customer data (Customer 360 / GPS).
Democratizing customer data by creating dashboards to share findings.
Developing customer segmentation models and survey screeners.
Managing both company-sponsored and syndicated research data.
Managing relationships with research and data vendors.
Extract the "So What": Transform complex market research and syndicated data (NVCS, S&P, GPS) into compelling narratives that drive action.
Actively engage with internal customers (Strategy, PD, Marketing) to ensure they understand how to use our tools and data to make evidence-based decisions.
Create Compelling Deliverables: Design high-quality presentation materials and dashboards (Power BI) that distill analytical journeys into clear stories for executive audiences.
Collaborate Globally: Support teams in domestic and international markets (China, Europe, IMG), ensuring their exploratory needs are met by our analytical frameworks.

Requirements

What you’ll need

Bachelor’s degree in a quantitative field (Statistics, Economics, Business Analytics, Engineering, or related).
Experience: 5+ years of experience in market research, data science, or advanced analytics, preferably within a product planning or consumer insights environment.
Technical Proficiency:
2+ years of experience with SAS or other statistical analytic software (e.g. SPSS, R, Python) with a willingness to learn and work in the SAS software environment.
1+ years of experience using Structured Query Language (SQL), or experience in a cloud computing environment (e.g. Google Cloud Platform).
Familiarity with data visualization software (i.e. Power BI).
Analytical Communication: Demonstrated ability to translate statistical results into "plain English" for non-technical stakeholders.
Ownership Mindset: A high degree of ownership and a "self-starter" attitude; someone who takes pride in their work and is dependable when navigating critical project milestones.

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 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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data lifecycle managementcluster modelssegmentation modelssurvey analysisdata hygienestatistical analysisSASSQLdata visualizationanalytical frameworks

Soft Skills

analytical communicationownership mindsetcollaborationrelationship managementstorytellingself-starterdependabilityengagementpresentation skillsevidence-based decision making