Product Group Manager, Integrated Services Data, AI and Analytics

Overview

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.

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…