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Ford Motor Company · 8 hours ago

Product Group Manager, Integrated Services Data, AI and Analytics

United States

Full-time

Onsite

Director/Executive

12+ years exp

Ford Motor Company is a global automotive and mobility company with a rich heritage of innovation. They are seeking a highly strategic and experienced Senior Director to lead the foundational and advanced data, analytics, and AI capabilities for their Integrated Services business, focusing on defining and executing data strategies to support growth in software subscriptions.

AutomotiveAutonomous VehiclesManufacturingTransportation

No H1B

U.S. Citizen Only

Responsibilities

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

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

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

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

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

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

Qualification

Data strategyMachine learningData analyticsCloud data platformsStatistical modelingProgramming languagesLeadership experienceTeam buildingCommunication skillsCollaboration skills

Required

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

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