Product Group Manager, Integrated Services Data, AI and Analytics

Senior Director, Data, Analytics & AI, Integrated Services

Ford Motor Company is a global automotive and mobility company with a rich heritage of innovation. As we transition to a future defined by connected vehicles and digital experiences, our Integrated Services business is at the forefront, developing and delivering cutting-edge software subscriptions and services that enhance the customer journey and unlock new revenue streams. The Global Data, Insights & Analytics (GDIA) organization is Ford's central hub for data strategy, insights, advanced analytics and AI, driving data-driven decision-making across the enterprise. We are building a future where mobility is intelligent, sustainable, and seamlessly integrated into our customers' lives. Ford is seeking a highly strategic and experienced Senior Director, Data, Analytics & AI, Integrated Services to lead the foundational and advanced data, analytics and AI capabilities for our rapidly expanding Integrated Services business. You will define and execute the data strategy specific to Integrated Services, build and lead a world-class team, and establish the data infrastructure, governance, and capabilities necessary to support the growth of Ford's software subscription offerings. This role requires a visionary leader with deep expertise in data science, analytics, machine learning, and a proven track record of delivering measurable business impact in a dynamic, high-growth environment, preferably within a subscription or SaaS business model.

You will

• Strategic Leadership : Define and articulate the comprehensive data, analytics, and AI strategy and roadmap for Ford's Integrated Services, aligning with overall business objectives, customer experience goals, and GDIA's enterprise data strategy.
• Identify and prioritize key business questions that can be answered through data, driving significant improvements in product development, customer acquisition and retention.
• Champion a data-driven culture across the Integrated Services organization, influencing product, engineering, marketing, and business development teams, while leveraging GDIA's best practices and resources.

Team Building & Leadership : Recruit, mentor, and develop a high-performing team of data scientists, data analysts, data engineers, and ML engineers dedicated to Integrated Services. Foster a culture of innovation, collaboration, continuous learning, and accountability within the team. Provide strong technical and strategic guidance, ensuring best practices in data quality, and ethical AI development.

Data & Analytics Platform Development : Oversee the design, development, and maintenance of robust, scalable, and secure data infrastructure and platforms that support real-time and batch processing of subscription data, leveraging and contributing to GDIA's enterprise data platforms and tools. Establish and enforce data quality standards specific to customer subscription data, in adherence to GDIA's global standards. Drive the adoption of advanced analytics tools and techniques to generate deep insights into customer behavior, service usage, revenue optimization and business performance.

AI Innovation & Implementation : Identify opportunities to leverage artificial intelligence to enhance Integrated Services products, personalize customer experiences, optimize pricing, predict churn, and drive operational efficiencies. Lead the end-to-end lifecycle of AI / ML models, from ideation and prototyping to deployment, monitoring, and continuous improvement. Ensure responsible AI practices, including fairness, transparency, and privacy, are embedded in all AI initiatives.

Cross-Functional Collaboration : Partner closely with Product Management to embed data and AI into the product lifecycle, informing feature development and roadmap decisions. Collaborate with General Management to ensure data pipelines, analytics and AI initiatives meet their operational needs. Work with Marketing and Sales to optimize campaigns, personalize customer communications, and drive subscription growth. Engage with Finance and Business Development to provide data-backed insights for strategic planning and new business model evaluation. Act as the primary interface between Integrated Services and the broader GDIA organization, ensuring alignment, sharing best practices, and leveraging enterprise-wide data assets and capabilities.

Performance & Impact : Establish key performance indicators (KPIs) and metrics to measure the effectiveness and business impact of data, analytics, and AI initiatives for Integrated Services. Present complex data findings and strategic recommendations to executive leadership within Integrated Services in a clear and compelling manner.

You'll have 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.

You may also have Master's degree or Ph.D. in a quantitative field. Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL). Experience with MLOps practices and tools for deploying and managing ML models at scale. Exceptional communication and storytelling skills, with the ability to translate complex technical concepts into business terms for diverse audiences. Demonstrated ability to influence and collaborate effectively with senior leadership and cross-functional teams, particularly within a matrixed organization like GDIA. A passion for the automotive industry and the future of connected services.

What you'll receive in return As part of the Ford family, you'll enjoy excellent compensation, and a comprehensive benefits package that includes generous PTO, retirement, savings and stock investment plans, incentive compensation, and much more. You'll also experience exciting opportunities for professional and personal growth and recognition.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like : will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builderor all of the above? No matter what you choose, we offer a work life that works for you, including :

This position is a leadership level 4. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location.