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.
Dearborn, MI, US
Live, first seen by us 15 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Identify and prioritize Finance workflows that can be improved with data, analytics and AI
Recruit, mentor and develop a high-performing data and AI team
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
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.
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:
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
Day 15
Similar jobs usually come down between day 7 and day 53.
From 7,803 similar postings that came down. Coming down is not always a hire.
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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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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.
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.
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Dearborn, MI, US
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