Technical Product Manager, Manufacturing Analytics

Ford Motor • Dearborn, MI

11h • Hybrid

About The Position

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters. Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making. In this position... As a Technical Product Manager, Manufacturing Analytics , you will use your knowledge of data and advanced analytics to identify and articulate the role data and analytics products play in helping the business achieve their goals. You will lead a team of Data Scientists, Data Engineers and Software Engineers to develop analytics products using your expertise in visualization, AI/ML, Statistics and Optimization using GDI&A approved packages and architectures. You will use your knowledge of the product driven operating model, analytic and software delivery via Google Cloud Platform to optimize the delivery of value. You will interact with business partners in Manufacturing to align with their needs and processes to ensure relevancy of products. You will collaborate with universities and the AI Advancement Center within GDI&A to research algorithms and methods to develop business solutions.

Requirements

• 3+ years of experience building and managing high performing teams
• Experience in the automotive industry or a complex manufacturing environment.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data analytics services.

Nice To Haves

• Master's, M.B.A or PhD.
• Certifications in Quality Management (e.g., Six Sigma Black Belt, ASQ certifications) or Data Management (e.g., CDMP).

Responsibilities

• Accelerate the application of value-added analytics and machine learning into the portfolio of products for Manufacturing Analytics.
• Drive analytic excellence into product teams by leading Data Scientists, Data Engineers and Software Engineers to develop and deploy products using analytic and machine learning methods.
• Work hands-on with the team and other partners to deliver solutions that meet our customer's requirements and needs.
• Balance "doing it right" with "speed to delivery" by identifying and mitigating risk, generating options, educating business and other decision makers, and taking on justified technical debt.
• Collaborate with universities under the URP (University Research Partnership) framework governed by the Research & Innovation Center to research methods for solving specific problems using AI/ML
• Research the emerging fields of Generative AI, Machine Vision, IIoT (Industrial Internet of Things) to identify opportunities for application
• Publish findings in industry and research journals and present at conferences; Attend conferences to learn and benchmark state of the art in analytics
• Coach and mentor Data Scientists in the areas of statistics, AI/ML, Generative AI, Optimization, etc.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree