Data Products Finance Lead

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 

Finance strategically partners with operations to drive outstanding business results and enhance Ford’s industry leadership. When you join us, you’ll be able to contribute financial expertise that impacts all areas of our company, including planning, manufacturing, marketing and global distribution.

In this position... 

• This is a high-impact role for a leader who is passionate about the intersection of data, finance, and engineering. You will manage a talented team of business intelligence and finance professionals dedicated to creating and deploying data products. 
• Your mission will be to unlock actionable insights that directly reduce vehicle program material costs, enhance engineering efficiency, and optimize capital investments. 
• If you are driven to transform complex data into tangible financial outcomes and lead a team that makes a measurable difference, we want to hear from you.

What you'll do...

• Lead & Develop a High-Performing Team: Supervise, mentor, and grow a team of finance and data analysts. Foster a culture of collaboration, innovation, and continuous improvement.
• Drive Data Product Strategy & Delivery: Oversee the end-to-end lifecycle of data products, from ideation and requirements gathering with stakeholders in Engineering and Finance to development, deployment, and performance monitoring.
• Deliver Material Cost Reduction Insights: Guide your team in analyzing complex datasets (e.g., bill-of-materials, supplier quotes, engineering specifications) to identify and quantify opportunities for material cost savings and waste reduction.
• Enhance Engineering & Capital Efficiency: Develop analytical frameworks and data models to measure and improve engineering process efficiency, resource allocation, and the ROI of capital expenditures.
• Serve as a Cross-Functional Partner: Act as the primary liaison between Product Development Finance, Engineering, IT, and Procurement. Translate business needs into technical requirements and communicate complex analytical findings to senior leadership in a clear, concise manner.
• Champion Data-Driven Decision Making: Promote the strategic use of data and analytics throughout the product development process, ensuring that financial decisions are supported by robust, data-backed insights.
• Innovate and Improve: Stay current with the latest trends in data analytics, business intelligence, and financial modeling to continuously enhance the team's capabilities and the sophistication of our data products.

You'll have...

• Bachelor's degree in Finance, Economics, Data Science, Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in a role involving financial analysis, business intelligence, or data analytics.
• 2+ years of experience in a formal or informal leadership capacity (e.g., team lead, project manager, or direct supervisor).
• Strong understanding of financial principles, including cost accounting, budgeting, forecasting, and capital investment analysis.
• Proven experience working with large, complex datasets and proficiency with data analysis tools such as SQL, Python (with libraries like Pandas, NumPy), or R.
• Demonstrated experience with data visualization platforms like Tableau, Power BI, or Qlik for creating impactful dashboards and reports.
• Excellent communication and storytelling skills, with the ability to present complex information to both technical and non-technical audiences.

Even better, you may have...

• Master's degree (MBA, MS in Finance, Data Science, or Analytics).
• Experience within the automotive, manufacturing, or heavy industry sectors.
• Direct experience with product development finance, vehicle cost engineering, or program finance.
• Familiarity with automotive product development processes and cost structures.
• Experience applying advanced analytics, statistical modeling, or machine learning techniques to solve business problems.
• Proven track record of managing cross-functional projects and delivering results in a large, matrixed organization.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! 

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to h