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Ai Risk Manager Jobs in Michigan (NOW HIRING)

Ford Motor Company

Manager, Uptime AI

Dearborn, MI · On-site

As the Product Manager of Uptime AI, you will lead the strategic transformation of Ford's Customer ... Utilize statistical analysis and AI-driven "Service Complexity Predictors" to identify at-risk ...

Denso

Director- Data Analytics and AI

Southfield, MI

$181K - $226K/yr

Experience establishing responsible AI, model risk management, and data ethics frameworks. Benefits Summary: * Medical, Dental, Vision, Prescription Drug plans * 401K with 4% Company Match * Vacation ...

Stellantis

AI Coding Product Leader

Auburn Hills, MI · On-site

The AI Coding Product Leader defines the vision, strategy, and roadmap for coding agent ... risk management. Profile * Leadership and delivery * Strong experience in platform leadership ...

Deloitte

Financial Risk Senior Consultant

Detroit, MI · On-site

$115K/yr

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Support management of workstreams on complex engagements, partnering with client counterparts and ...

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Role: Senior AI/ML Engineer (W2 Position) Location: Dearborn, MI (Hybrid) Duration: 12+ Months ... risk management, resilience, etc. Key Responsibilities: * Understand business requirements and ...

Pwc

RFM AI Governance Manager

Grand Rapids, MI · On-site

$73K - $244K/yr

Responsibilities - Develop and implement AI governance frameworks - Conduct risk assessments to ... lifecycle management preferred - Coding experience in Python or similar languages preferred ...

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Ai Risk Manager information

What is the difference between Ai Risk Manager vs Data Scientist?

AspectAi Risk ManagerData Scientist
Required CredentialsTypically requires a degree in risk management, AI, or related fields; certifications in AI or risk management are commonRequires a degree in computer science, statistics, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentWorks in financial, insurance, or tech industries focusing on AI risk assessment and mitigationWorks across industries analyzing data, building models, and deriving insights
Employer & Industry UsageUsed by organizations managing AI deployment risks, especially in regulated sectorsUsed by companies developing AI solutions, data-driven products, and analytics teams

The main difference is that an Ai Risk Manager focuses on identifying and mitigating risks associated with AI systems, often requiring knowledge of risk management and AI ethics. In contrast, a Data Scientist primarily analyzes data and builds models to extract insights, with less emphasis on risk mitigation. Both roles may overlap in AI projects but serve distinct functions within organizations.

What are popular job titles related to Ai Risk Manager jobs in Michigan? For Ai Risk Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Risk Manager jobs in Michigan look for? The top searched job categories for Ai Risk Manager jobs in Michigan are:
What cities in Michigan are hiring for Ai Risk Manager jobs? Cities in Michigan with the most Ai Risk Manager job openings:
Ai Risk Manager jobs near you
Infographic showing various Ai Risk Manager job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Program Manager - Supply Chain AI

Program Manager - Supply Chain AI

Stellantis

Auburn Hills, MI • On-site

$135K/yr

Full-time

Posted 9 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As the Program Manager for the Supply Chain AI & Automation team, you will drive end-to-end delivery of a portfolio that spans data engineering, data science, agentic AI, RPA, and process mining initiatives.
This role owns the execution engine behind the team: planning and prioritization, stakeholder alignment, delivery governance, risk and dependency management, and transparent reporting. You will operate independently, bring structure to ambiguity, and partner closely with product, engineering, and business leaders to deliver measurable outcomes (cost, service, resilience, and productivity).
Responsibilities include but not limited to:
  • Own end-to-end project delivery for a portfolio of AI and automation initiatives (plan, scope, schedule, budget, risks, and outcomes)
  • Facilitate planning and delivery ceremonies (intake, prioritization, sprint planning, standups, demos, retrospectives)
  • Build and maintain integrated delivery plans that capture milestones, dependencies, and critical path across workstreams
  • Drive cross-functional stakeholder alignment across supply chain operations, IT, data/AI, security, and platform teams
  • Lead business requirements discovery and translate needs into clear epics/stories, acceptance criteria, and measurable outcomes in partnership with product and domain owners
  • Manage risks, issues, and decisions, proactively surface tradeoffs, and drive resolution
  • Establish and run delivery governance (status reporting, KPI/OKR tracking, executive readouts)
  • Coordinate release readiness for production deployments (communications, training, hypercare, and adoption tracking)
  • Drive adoption and value realization: stakeholder readiness, process updates, training enablement, communications, and adoption/KPI tracking post-launch
  • Coordinate model and agent lifecycle activities with data science/AI engineering and platform teams (release gating, monitoring review cadence, retraining triggers, incident response, and rollback plans)
  • Support vendor/partner coordination where applicable (SOW milestones, deliverables, and performance)
  • Continuously improve the team's operating model (templates, playbooks, cadence, and metrics)

Basic Qualifications:
  • Bachelor's degree in Business, Engineering, Computer Science, or a related field
  • 8+ years of professional experience in project/program management delivering data & analytics initiatives
  • Demonstrated ability to operate independently, bring structure to ambiguity, and drive delivery with minimal oversight
  • Experience managing cross-functional delivery across engineering, data/AI, and business stakeholders
  • Strong working knowledge of Agile delivery (Scrum/Kanban), including backlog management and sprint execution
  • Proven skills in dependency management, risk/issue management, and executive-ready status reporting
  • Strong communication and facilitation skills; ability to influence without authority

Preferred Qualifications:
  • Experience delivering AI/analytics, data platform, automation (RPA), or process transformation initiatives
  • Experience in supply chain domains (planning, logistics, manufacturing, procurement) and enterprise systems (ERP/WMS/TMS)
  • PMP, PMI-ACP, CSM/PSM, or SAFe certification
  • Experience with change management and adoption (communications, training, operational readiness)
  • Experience coordinating AI/ML model lifecycle in production (monitoring routines, retraining/revalidation, and controlled rollout/rollback)
  • Experience with portfolio reporting tools (Jira, Azure DevOps, Smartsheet, MS Project, Power BI)

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