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Ai Risk Analyst Jobs in Macomb, MI (NOW HIRING)

Deloitte

Financial Risk Manager

Detroit, MI · On-site

Join our team and use advanced data, AI, and emerging technologies with industry insights to help ... Successful candidates will demonstrate an aptitude for complex problem-solving and analytical ...

Zobility

Project Manager - AI/ML & Robotics

Troy, MI · On-site

... risk analysis, and investment proposals. • Assume responsibility of project's interests in North America and the alignment with the rest of the world (EU and China). This includes resource planning ...

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All JobsAi Risk Analyst JobsAi Risk Analyst Jobs in Macomb, MI

Ai Risk Analyst information

See Macomb, MI salary details

$14

$39

$63

How much do ai risk analyst jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai risk analyst in Macomb, MI is $39.18, according to ZipRecruiter salary data. Most workers in this role earn between $28.85 and $47.69 per hour, depending on experience, location, and employer.

How does an AI risk analyst 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 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 skills and qualifications are needed to be an AI risk analyst?

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.

What is an AI risk analyst?

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 are popular job titles related to Ai Risk Analyst jobs in Macomb, MI?

For Ai Risk Analyst jobs in Macomb, MI, the most frequently searched job titles are:

What job categories do people searching Ai Risk Analyst jobs in Macomb, MI look for?

The top searched job categories for Ai Risk Analyst jobs in Macomb, MI are:

What cities near Macomb, MI are hiring for Ai Risk Analyst jobs?

Cities near Macomb, MI with the most Ai Risk Analyst job openings:

Ai Risk Analyst jobs near you
Infographic showing various Ai Risk Analyst job openings in Macomb, MI as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $81,490 per year, or $39.2 per hour.

ICT Data & AI Business Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 14 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Role Summary
The Data & AI Business Analyst drives the discovery, analysis, and translation of business needs into actionable requirements, with a strong emphasis on data analytics, process optimization, and cross-functional collaboration. This role requirement-gathering efforts, shapes analytical solutions, and ensures that data-driven insights inform strategic and operational decisions. The position serves as a bridge between business stakeholders, data teams, and technology partners to deliver high-quality, scalable solutions.
Key Responsibilities
Requirements Gathering & Solution Definition
  • Lead end-to-end requirements elicitation through workshops, interviews, process mapping, and data exploration.
  • Translate business needs into clear, concise functional and non-functional requirements, user stories, acceptance criteria, and process flows.
  • Facilitate alignment sessions with stakeholders to validate requirements and ensure shared understanding.
  • Evaluate business processes and identify opportunities for automation, optimization, and improved data utilization.

Data Analytics & Insights
  • Partner with data engineering, BI, and analytics teams to define data requirements, metrics, KPIs, and reporting structures.
  • Analyze complex datasets to identify trends, gaps, and opportunities that inform business strategy.
  • Support the design and validation of dashboards, analytical models, and data pipelines.
  • Ensure data quality, governance, and consistency across analytical solutions.

Stakeholder Communication
  • Liaison between business units, technical teams, and leadership.
  • Present findings, recommendations, and solution options to stakeholders in a clear, data-driven manner.
  • Manage stakeholder expectations, dependencies, and priorities across multiple initiatives.
  • Mentor junior analysts and contribute to BA practice development.

Project & Delivery Support
  • Collaborate with project managers, product owners, and technical leads to define scope, timelines, and delivery plans.
  • Support backlog refinement, sprint planning, and release readiness activities.
  • Conduct impact assessments, risk analysis, and change-readiness evaluations.
  • Validate solutions through testing support, UAT coordination, and post-implementation reviews.

Required Qualifications
  • Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, or a related field
  • Minimum 4 years of experience as a Business Analyst, Data Analyst, or similar role
  • Strong proficiency in data analysis tools (e.g., SQL, Excel, Power BI, Tableau).
  • Strong understanding of SAP configuration, master data, and business process flow.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience
  • Demonstrated experience gathering and documenting complex requirements for data driven solutions.
  • Solid understanding of data modeling, data governance, and analytics workflows.
  • Experience working in Agile environments and writing user stories.
  • Excellent communication, facilitation, and stakeholder management skills.

Preferred Qualifications
  • Experience with cloud data platforms (e.g., Azure, AWS, SQL).
  • Background in process improvement methodologies (Agile, Lean, Six Sigma).
  • Familiarity with API integrations, data engineering, data visualization, data pipelines, and enterprise data architecture.
  • Industry experience in finance, healthcare, retail, or technology.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience

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