Manager Industrial System Analytic GDI&A

The Global Data Insights and Analytics (GDI&A) team at Ford Motor Company is seeking a Manager Industrial System Analytic GDI&A to lead a multi-disciplinary team of data scientists, machine learning engineers, product designers, data engineers, and software engineers.

The successful candidate will provide technical and thought leadership in advanced analytics, AI/ML, and people management. The role demands strong technical expertise, hands-on experience with cutting-edge analytical tools, and the ability to translate business needs into actionable solutions.

Responsibilities:

• Lead a multi-disciplinary team through the entire lifecycle of complex analytical and AI/ML projects.
• Provide technical leadership and be hands-on from concept to deployment.
• Collaborate across GDI&A functions and partner with business stakeholders to drive strategic outcomes.
• Lead, mentor, and inspire your team to deliver impactful results.

Key Responsibilities:

• Strategic & Technical Leadership: Lead business engagement, apply and refine methodologies to deliver analytical solutions.
• Data Improvement & Integration: Collaborate with business partners to improve data quality and integrate data from diverse sources.
• Hands-on Expertise: Build, improve, and deploy Machine Learning & AI models.
• Team Leadership & Mentorship: Lead, mentor, and develop a high-performing team.
• Technology Strategy: Develop and implement a roadmap for adopting and integrating new technologies.

Qualifications:

• Master's degree (PhD preferred) in Engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or a related field.
• 5+ years of hands-on experience applying supervised and unsupervised machine learning and AI/ML techniques.
• 5+ years of leading a team of cross-functional technical experts.
• Proficiency in R and Python, along with experience with ML frameworks.
• Experience with GCP and data related technologies.
• Strong technical & people leadership, communication, and collaboration skills.