Ford Motor Company

Product Group Manager – Integrated Services, Data, AI and Analytics

Ford Motor Company

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

  • Define and articulate the data, analytics, and AI strategy and roadmap for Ford Integrated Services, aligning with business and GDIA enterprise strategy
  • Identify and prioritize key business questions to drive product development, customer acquisition, retention, and monetization
  • Recruit, mentor, and develop a team of data scientists, data analysts, data engineers, and ML engineers
  • Oversee design, development, and maintenance of scalable, secure data infrastructure and platforms for real-time and batch subscription data
  • Establish and enforce data quality standards and ensure responsible AI practices (fairness, transparency, privacy)
  • Lead end-to-end lifecycle of AI/ML models from ideation to deployment, monitoring, and continuous improvement
  • Partner with Product, Engineering, Marketing, Sales, Finance, and General Management to embed data and AI into product lifecycle and operations
  • Establish KPIs and present data-driven recommendations to executive leadership to measure and maximize business impact

Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
  • 12+ years of progressive experience in data science, analytics, business intelligence, or machine learning roles
  • 7+ years of experience in a leadership role, building and managing high-performing data, analytics, and AI teams
  • Experience in the automotive, software-as-a-service (SaaS), subscription, or consumer technology industries
  • Strong understanding of customer lifecycle management in a subscription business context (acquisition, activation, retention, churn, monetization)
  • Proven experience in defining and executing data strategies that have driven significant business outcomes
  • Extensive experience with cloud-based data platforms (e.g., GCP, AWS, Azure)
  • Demonstrated expertise in statistical modeling, machine learning algorithms, generative AI and their practical application to business problems
  • Proven ability to design / execute tests using data and analytics that deliver insights used to improve business outcomes
  • Preferred: Master's degree or Ph.D. in a quantitative field
  • Preferred: Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL)
  • Preferred: Experience with MLOps practices and tools for deploying and managing ML models at scale
  • Exceptional communication and storytelling skills
  • Demonstrated ability to influence and collaborate effectively with senior leadership and cross-functional teams
  • Candidates must be legally authorized to work in the United States; Visa sponsorship is not available