Sr. Director - Finance Data, Analytics and AI

Ford Model e U.S.Dearborn, MichiganHybridFull-timeStaff, 8–12 yearsListed 2 weeks ago

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About this role

This leadership role is a critical part of the Global Data, Insights & Analytics (GDIA) team within Enterprise Technology, dedicated to supporting the Finance organization. You will be responsible for working closely with the Finance functions, in particular the Finance Operational Excellence (FOX) team that is leading the modernization and transformation strategy for Finance, all while aligning with GDIA's overarching data strategy and governance frameworks.

You will help define and execute the data and AI strategy specific to Finance, build and lead a world-class team, and work with the AI Advancement Center and Data Platform and Engineering teams as well as the ERP technology teams to establish the data infrastructure, governance, and AI capabilities necessary to support the FOX team’s transformation strategy. This role requires a strong technical leader with deep expertise in data science, AI, and a proven track record of delivering measurable business impact.

Basic Qualifications:

- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- 10+ years of progressive experience in analytics, data science or AI roles.
- 6+ years of experience in a leadership role, building and managing high-performing data, analytics, and AI teams.
- Experience supporting corporate finance functions such as FP&A, Accounting, Tax, Audit, Treasury.
- Demonstrated expertise in statistical modeling, machine learning algorithms, generative AI and their practical application to business problems.

Preferred Qualifications:

- 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 (gen)AI/ML Ops practices and tools for deploying and managing production (gen)AI/ML tools 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.