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Senior Director - Finance Data, Analytics and AI

Dearborn, MI, United States

Live, first seen by us 15 days ago
Pay
Pay not listedSimilar roles state $154K–$225K
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting
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
  • Identify and prioritize Finance workflows to improve with data, analytics and AI

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

  • Lead the end-to-end lifecycle of AI/ML solutions, from prototype to monitoring

  • Set KPIs to measure the business impact of Finance data and AI initiatives

  • Present data and AI solutions to Finance executive leadership

From the employer’s posting
Help Identify and prioritize key Finance workflows that can be enhanced with data, analytics and AI.
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.
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.

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).
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Posting record

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Status in our records
Live
First seen by us
Oct 19, 202615 days ago
Recorded sightings
82
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 7,797 similar postings that came down. Coming down is not always a hire.

Ford Motor is hiring

20 open jobs

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

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  • 10% 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.

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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, United States

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