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Ai Risk Analyst Jobs in Michigan (NOW HIRING)

Kion Group AG

Finance AI Lead

Grand Rapids, MI · On-site

Develop case studies and benefit analysis models, including efficiency gains, cost savings, risk ... Ensure AI solutions align with financial controls, internal governance standards, and external ...

Kiongroup

Finance AI Lead

Grand Rapids, MI

Develop case studies and benefit analysis models, including efficiency gains, cost savings, risk ... Ensure AI solutions align with financial controls, internal governance standards, and external ...

Kiongroup

Finance AI Lead

Grand Rapids, MI · On-site

Develop case studies and benefit analysis models, including efficiency gains, cost savings, risk ... Ensure AI solutions align with financial controls, internal governance standards, and external ...

Pwc

AI Governance Manager

Detroit, MI · On-site

$99K - $297K/yr

... and risk management processes and related controls. Those in data, analytics and technology ... The Opportunity As part of the AI Governance team, you will enhance project delivery through ...

Pwc

AI Governance Sr Associate

Detroit, MI

$72K - $212K/yr

... and risk management processes and related controls. Those in data, analytics and technology ... Responsibilities - Develop AI governance frameworks that adhere to industry standards - Manage ...

Denso

Director- Data Analytics and AI

Southfield, MI

$181K - $226K/yr

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Experience establishing responsible AI, model risk management, and data ethics frameworks. Benefits ...

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How much do ai risk analyst jobs pay per hour?

As of May 30, 2026, the average hourly pay for ai risk analyst in Michigan is $35.29, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $42.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.

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

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What are popular job titles related to Ai Risk Analyst jobs in Michigan? For Ai Risk Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Risk Analyst jobs in Michigan look for? The top searched job categories for Ai Risk Analyst jobs in Michigan are:
What cities in Michigan are hiring for Ai Risk Analyst jobs? Cities in Michigan with the most Ai Risk Analyst job openings:
Ai Risk Analyst jobs near you

Finance AI Lead

Kion Group AG

Grand Rapids, MI • On-site

Full-time

Posted 16 days ago

Job description

Dematic is establishing a new Finance AI team to accelerate the responsible adoption of AI automation across the function. The lead for Strategy & Enablement in the Finance AI area will coordinate the full scope of initiatives related to Finance AI. This involves establishing direction, identifying and ranking use cases, maintaining robust oversight, and promoting adoption and value achievement.
This role serves as the main bridge between Finance leadership, process owners, and AI/technology teams. It ensures AI solutions address real Finance problems, align with enterprise standards, and deliver measurable business impact. The role acts as both strategic owner and hands-on enablement leader, from vision through deployment and sustained value delivery.
We offer:
  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities

Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The base pay range for this role is estimated to be $X-Y at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
Tasks and Qualifications:
What You Will do in This Role:
Finance AI Vision & Strategy
  • Own and articulate the AI vision for Global Finance, aligned with Dematic's enterprise digital, data, and automation strategy
  • Define, maintain, and evolve the roadmap for financial artificial intelligence, balancing near-term impact with long-term capability development
  • Translate executive leadership priorities into a prioritized portfolio of AI-enabled initiatives
  • Continuously assess emerging AI capabilities and their applicability to Finance use cases

AI Use Case Identification & Business Value
  • Partner with Finance teams (FP&A, Function Controlling, Project Management, Accounting, etc.) to identify AI-ready opportunities
  • Translate Finance workflows, decision processes, and challenges into clear, actionable AI use cases
  • Develop case studies and benefit analysis models, including efficiency gains, cost savings, risk reduction, and decision-quality improvements
  • Support prioritization of initiatives based on value, feasibility, risk, and business readiness

Business Partnership & Enablement
  • Act as the primary liaison between Finance process owners and AI technical teams, ensuring shared understanding of requirements and constraints
  • Ensure Finance domain knowledge, controls, and business logic are embedded into AI solution development
  • Advocate for practical, usable solutions that resolve real problems and fit Finance ways of working

Governance, Risk & Compliance
  • Own AI governance for Finance, including data privacy, model risk management, audit readiness, and regulatory compliance
  • Ensure AI solutions align with financial controls, internal governance standards, and external regulations
  • Establish Finance AI standards, policies, and operating models for responsible and ethical AI use
  • Partner with Risk, Compliance, IT, and Internal Audit to ensure transparency and control

Delivery Oversight, Testing & Adoption
  • Coordinate pilot programs and User Acceptance Testing (UAT) with Finance end users
  • Validate outputs, capture feedback, and ensure solutions meet business and control requirements
  • Lead change management, training, and AI literacy across the Finance organization
  • Develop user materials, job aids, and communication plans to support adoption and behavioral change

Value Realization & Ongoing Performance Management
  • Define and analyze key performance indicators and value realization metrics for Finance AI initiatives
  • Assess live AI solutions to ensure continued performance, accuracy, and adoption
  • Surface issues, risks, and improvement opportunities to technical and Finance leadership
  • Provide regular executive updates to leadership on progress, benefits, and roadmap

Technology & Architecture Alignment
  • Partner closely with IT, Digital, and Data teams on AI architecture, platforms, security, and scalability
  • Ensure Finance AI solutions leverage enterprise-aligned, secure, and reusable technology foundations
  • Balance innovation speed with sustainability, control, and integration

What We Are Looking For:
  • 7+ years expertise in Finance, Finance Transformation, FP&A, Controllership, Analytics, or Digital Strategy roles
  • Strong understanding of Finance processes, controls, and regulatory environments
  • Proven track record of translating business needs into structured requirements and initiatives
  • Experience leading cross-functional initiatives across Finance or technology teams
  • Strong executive communication, business partnership, and influencing skills
  • Experience driving analytics, automation, AI, or digital transformation initiatives
  • Familiarity with AI / ML concepts and data platforms (hands-on technical development not required)
  • Experience developing business cases and tracking return on investment
  • Exposure to ERP platforms such as SAP
  • Experience in global, matrixed organizations
  • Organizational change or transformation leadership experience

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