Ford Motor Company is seeking to enhance its Integrated Services business by developing and delivering cutting-edge software subscriptions and services, and is looking for a Senior Director, Data, Analytics & AI to lead the foundational and advanced data, analytics and AI capabilities for this business.
Requirements
- Strong understanding of customer lifecycle management in a subscription business context
- 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
- Experience with MLOps practices and tools for deploying and managing ML models at scale
- Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL)
- Experience in the automotive, software-as-a-service (SaaS), subscription, or consumer technology industries
Responsibilities
- Define and articulate the comprehensive data, analytics, and AI strategy and roadmap for Ford's Integrated Services
- 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
- Recruit, mentor, and develop a high-performing team of data scientists, data analysts, data engineers, and ML engineers dedicated to Integrated Services
- 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
- Establish and enforce data quality standards specific to customer subscription data
- Drive the adoption of advanced analytics tools and techniques to generate deep insights into customer behavior, service usage, revenue optimization and business performance
Other
- 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
- Exceptional communication and storytelling skills, with the ability to translate complex technical concepts into business terms for diverse audiences
- Visa sponsorship is not available for this position
