Manager, Customer Data, Analytics & Tools

Ford • Dearborn, MI

14h • $132,800 - $250,800 • Hybrid

About The Position

As a Manager in the Customer Data, Analysis & Tools group, you will do more than just "pull data" - you will be a champion for our team’s insights. You will sit at the intersection of complex analytics and strategic decision-making, helping Ford’s leadership understand the "so what" behind our market segmentation map and extensive customer data stack. We are looking for a dedicated, curious, and outcome-oriented professional who is proficient in data tools but excels at storytelling. You will be a key partner, ensuring our enterprise-wide customer framework is not only technically sound but also clearly understood and utilized across Corporate Strategy, Product Development, General Management, and Marketing. This hybrid Dearborn, MI based position requires a detail-oriented, creative technologist, comfortable working in a highly collaborative environment, and able to work with a variety of internal and external clients and vendors.

Requirements

• Bachelor’s degree in a quantitative field (Statistics, Economics, Business Analytics, Engineering, or related).
• 5+ years of experience in market research, data science, or advanced analytics, preferably within a product planning or consumer insights environment.
• 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).
• Demonstrated ability to translate statistical results into "plain English" for non-technical stakeholders.
• 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.

Nice To Haves

• Master’s degree (MBA or MS in a quantitative field).
• Advanced experience crafting visual content and engaging presentations for leadership.
• Knowledge of the automotive industry and/or experience with customer segmentation in complex industries.
• Strong marketing business acumen with experience applying statistical analytic techniques to solve business problems.
• Familiarity with quantitative market research principles and practices.
• Proficiency in data science programming languages (e.g., Python, R, SQL) and multivariate statistics (regression, factor analysis, etc.). Familiarity with SAS is a plus.
• Expertise in cleaning, merging, and preparing large datasets for analysis (e.g., efficient use of SAS DATA steps or Python/Pandas).
• Ability to automate the delivery of insights and format professional reports (e.g., leveraging SAS ODS, Power BI, or similar).
• Experience building modular, reusable code and automation scripts to streamline workflows (e.g., SAS Macros or custom functions/libraries).
• Hands-on experience with model development and scoring using statistical procedures (e.g., SAS/STAT, Scikit-learn, or similar)

Responsibilities

• Manage the full data lifecycle - from defining the business question to data hygiene and executing cluster/segmentation models.
• 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.
• 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.
• Design high-quality presentation materials and dashboards (Power BI) that distill analytical journeys into clear stories for executive audiences.
• Support teams in domestic and international markets (China, Europe, IMG), ensuring their exploratory needs are met by our analytical frameworks.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager