Manager, Customer Data, Analytics & Tools

Ford Ford · Auto · Dearborn, MI +1 · Marketing & Sales

Manager for Customer Data, Analytics & Tools at Ford. This role focuses on managing the data lifecycle, executing analyses (including segmentation models), creating dashboards, and translating complex data into actionable insights for business leaders. It involves managing research vendors and collaborating with various internal teams.

What you'd actually do

  1. Manage the full data lifecycle - from defining the business question to data hygiene and executing cluster/segmentation models.
  2. Transform complex market research and syndicated data (NVCS, S&P, GPS) into compelling narratives that drive action.
  3. Design high-quality presentation materials and dashboards (Power BI) that distill analytical journeys into clear stories for executive audiences.
  4. Support teams in domestic and international markets (China, Europe, IMG), ensuring their exploratory needs are met by our analytical frameworks.

Skills

Required

  • Bachelor’s degree in a quantitative field (Statistics, Economics, Business Analytics, Engineering, or related)
  • Experience in market research, data science, or advanced analytics
  • Experience with SAS or other statistical analytic software (e.g. SPSS, R, Python)
  • Experience using Structured Query Language (SQL)
  • Familiarity with data visualization software (i.e. Power BI)
  • Translate statistical results into 'plain English' for non-technical stakeholders
  • High degree of ownership and a 'self-starter' attitude

Nice to have

  • Master’s degree (MBA or MS in a quantitative field)
  • Storytelling Expertise
  • Strategic Acumen
  • Problem Solving
  • Market Research
  • Proficiency in data science programming languages (e.g., Python, R, SQL)
  • Multivariate statistics (regression, factor analysis, etc.)
  • Data Manipulation
  • Reporting & Visualization
  • Automation & Efficiency
  • Statistical Modeling

What the JD emphasized

  • 5+ years of experience in market research, data science, or advanced analytics
  • 2+ years of experience with SAS or other statistical analytic software
  • 1+ years of experience using Structured Query Language (SQL)
  • high degree of ownership
  • self-starter attitude