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Senior Director - Finance Data, Analytics and AI

Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Define and execute the data and AI strategy for Finance

  • Recruit, mentor and develop a team of data scientists and AI engineers

  • Lead the end-to-end lifecycle of AI/ML solutions for Finance

  • Identify Finance workflows that can be enhanced with data and AI

  • Establish KPIs to measure the business impact of Finance data and AI work

From the employer’s posting
help define and execute the data and AI strategy specific to Finance
Recruit, mentor, and develop a high-performing team of data scientists, AI engineers, product managers and software engineers.
Lead the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to deployment, monitoring, and continuous improvement.
Help Identify and prioritize key Finance workflows that can be enhanced with data, analytics and AI.
Establish key performance indicators (KPIs) and metrics to measure the effectiveness and business impact of data, analytics, and AI initiatives for Finance.

What you’ll bring

All qualifications

Core experience

  • 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 experience

  • 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.
  • Demonstrated ability to influence and collaborate effectively with senior leadership and cross-functional teams, particularly within a matrixed organization like GDIA.
Qualification wording
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.
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.
Demonstrated ability to influence and collaborate effectively with senior leadership and cross-functional teams, particularly within a matrixed organization like GDIA.
Education & alternatives
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.
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).
Apply at Ford Motor Company

Posting record

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Status in our records
Live
First seen by us
Oct 19, 202615 days ago
Recorded sightings
44
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 15

Similar jobs usually come down between day 7 and day 53.

From 7,823 similar postings that came down. Coming down is not always a hire.

Ford Motor Company is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is steady
  • Takes jobs down quickly
  • 13% of open jobs were reposted
Hiring record

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Where the posting names them
- 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.

Your next step

Complete your application on www.careers.ford.com. The employer’s form will show what is required.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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.

  • Strategic Leadership:
    • Help Identify and prioritize key Finance workflows that can be enhanced with data, analytics and AI.
    • Champion democratized AI and analytics capabilities from GDIA across the Finance organization.
  • Team Building & Leadership:
    • Recruit, mentor, and develop a high-performing team of data scientists, AI engineers, product managers and software engineers.
    • Foster a culture of innovation, collaboration, continuous learning, and accountability within the team.
    • Provide strong technical and strategic guidance, ensuring best practices in data quality, and AI development.
  • AI Innovation & Implementation:
    • Identify opportunities to leverage artificial intelligence to enhance Finance processes and workflows.
    • Lead the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to deployment, monitoring, and continuous improvement.
    • Ensure responsible AI practices, including fairness, transparency, and privacy, are embedded in all AI initiatives.
  • Cross-Functional Collaboration:
    • Partner closely with the FOX team to enable their transformation strategy and execute their enterprise level AI initiative.
    • Collaborate with GDIA’s AIAC and DPE teams as well as the ERP teams part of the Corporate Staffs Technology teams.
    • Act as the primary interface between Finance and the broader GDIA organization, ensuring alignment, sharing best practices, and leveraging enterprise-wide data assets and capabilities.
  • Performance & Impact:
    • Establish key performance indicators (KPIs) and metrics to measure the effectiveness and business impact of data, analytics, and AI initiatives for Finance.
    • Present technical data, analytics and AI solutions to executive leadership within Finance in a clear and compelling manner.

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.
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Dearborn, MI

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