Product Group Manager, Integrated Services Data, AI and Analytics at Ford Global Career Site

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Analytics, AI Development, Data Science, Machine Learning, Statistical Modeling, Cloud Platforms, Customer Lifecycle Management, Team Leadership, Data Quality, Ethical AI, Programming, MLOps, Communication, Collaboration, Innovation

Industry

Motor Vehicle Manufacturing

Description

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. 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 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. Visa sponsorship is not available for this position. Verification of employment eligibility will be required at the time of hire. Establish and enforce data quality standards specific to customer subscription data, in adherence to GDIA's global standards. 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. Established and active employee resource groups

Responsibilities

Define and articulate the data, analytics, and AI strategy for Ford's Integrated Services. Recruit and develop a high-performing team while ensuring best practices in data quality and ethical AI development.