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Ai Risk Jobs in Michigan (NOW HIRING)

The AI Domain Architect is a senior enterprise architecture role responsible for designing and ... Translate governance and risk requirements into practical architectural controls that don't slow ...

AI Engineer

Warren, MI · On-site +1

Implement human-in-the-loop mechanisms to ensure compliance, reliability, and risk control. Integrate AI agents with APIs, enterprise platforms, and orchestration tools. Establish guardrails ...

VP Enterprise AI Enablement

Novi, MI · On-site

$275K - $315K/yr

Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management in partnership with Legal, Cybersecurity, IT Architecture, HR, and Compliance. Own AI investment ...

AI Governance Sr. Manager

Detroit, MI · On-site

$119K - $337K/yr

They evaluate compliance with regulations including assessing governance and risk management ... The Opportunity As part of the AI Governance team, you will enhance project delivery through ...

They evaluate compliance with regulations including assessing governance and risk management ... The Opportunity As part of the AI Engineering team, you will design, test, and deploy innovative AI ...

Strong understanding of AI governance concepts, including risk, privacy, security, and lifecycle management. * Experience working in a cloud-based ecosystem (Azure preferred). * Strong analytical ...

Strong understanding of AI governance concepts, including risk, privacy, security, and lifecycle management. * Experience working in a cloud-based ecosystem (Azure preferred). * Strong analytical ...

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Showing results 1-20

Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Michigan? The most popular types of Ai Risk jobs in Michigan are:
What job categories do people searching Ai Risk jobs in Michigan look for? The top searched job categories for Ai Risk jobs in Michigan are:
What cities in Michigan are hiring for Ai Risk jobs? Cities in Michigan with the most Ai Risk job openings:
Dealer Audit Risk Assessment Lead - Warranty

Dealer Audit Risk Assessment Lead - Warranty

General Motors

Warren, MI • On-site

$97.70K - $128.20K/yr

Full-time

Posted 17 days ago


General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers


Job description

Job Description

Dealer Audit plays a critical role in safeguarding the integrity of GM dealer operations and providing assurance over funding that supports strategic market initiatives and warranty obligations.

We are seeking a highly motivated, experienced technical lead to develop and evolve Dealer Audit's risk assessment capabilities, enabling a strategic, datadriven audit plan and delivering actionable insights to the business.

This role requires strong operational agility and strategic thinking: identifying and anticipating emerging risks, consolidating and interpreting complex data sets, making sound recommendations, aligning diverse stakeholders, and continuously learning and adapting. Success depends on building trusted relationships with GM partners and the dealer network while advancing the One GMAS culture.

Duties & Responsibilities:

Risk Assessment, Analytics & Strategic Planning:

  • Own the design, refinement, and governance of Dealer Audit's quantitative riskscoring and monitoring framework, integrating multiple data sources to prioritize dealers and programs for audit coverage.
  • Serve as the functional analytics and AI leader for Dealer Audit, setting the vision and roadmap for data, dashboards, and advanced analytics (including AI) that enable scalable, technologyenabled audit execution.
  • Act as product owner for key Dealer Audit analytics assets (e.g., Audit Results and QAR dashboards, risk dashboards), ensuring they meet the needs of leadership and auditors.
  • Lead advanced data analytics to develop the annual Dealer Audit Risk Assessment, global audit plan, and Continuous Business Monitoring
  • Hands on ownership of risk logic from data ingestion through audit selection and execution, not limited to analytics support or dashboard consumption.
  • Identify and evaluate key risk drivers across dealer operations to ensure audit coverage is focused on the highestimpact risks.
  • Assess and enhance riskmodel effectiveness through audit outcome analysis, rootcause analysis, and validation of risk indicators.
  • Partner with GM IT and analytics teams to refine, calibrate, and expand risk metrics, with a focus on preventative and prevalidation initiatives.
  • Support additional projects and strategic initiatives as assigned.

Influence, Partnerships & Stakeholder Engagement:

  • Champion the adoption of data analytics and AI within Dealer Audit, including coaching auditors, representing the service line in GMAS data/AI initiatives, and partnering with training teams to build capabilities.
  • Influence commercial and operational policies by building trust and credibility through objective, databased audit insights.
  • Build strong crossfunctional partnerships with GMAS Data Analytics, Policy, IT, and business stakeholders to detect emerging risks, validate assumptions, and define data needs.
  • Integrate new data sources (e.g., RAD, Dealer Financials) and continuously refresh DRMO risk indicators.
  • Serve as a trusted connector and ambassador for One GMAS, promoting collaboration, innovation, and enterprisewide risk awareness.

Required Qualifications:

  • Bachelor's degree in Business, Computer Science, Data Analytics, or a related field.
  • 5+ years of manufacturerside dealership operations experience (e.g., GM or other OEMs), with deep, practical knowledge of service and warranty operations, including the ability to assess program design, identify control gaps, and quantify financial exposure.
  • Knowledge of GM systems and dealer reporting platforms (e.g., RAD, Dealer Financials) or comparable enterprise systems.
  • Demonstrated expertlevel Excel capability, including advanced Power Query (M) for largescale data transformation, automation, and audit production. workflows.
  • Experience with risk modeling, metric validation, calibration, and rootcause analysis.
  • Exceptional ability to synthesize complex, imperfect data into clear, audiencespecific summaries for auditors, managers, and senior leadership.
  • Ability to operate at high speed in a production audit environment, managing multiple concurrent workstreams with strict delivery timelines.
  • Demonstrated ability to rapidly switch between technical execution, operational audit support, and strategic risk discussions.
  • Proven ability to lead change and influence outcomes across IT, Data Analytics, Audit, and business program owners without formal authority.
  • Excellent written and verbal communication skills, including executivelevel presentations.
  • Demonstrated commitment to integrity, objectivity, and independence, consistent with professional audit standards.
  • Builder mindset with a track record of creating scalable analytics assets, documentation, and knowledge infrastructure that persists beyond the individual contributor.
  • Selfstarter with a high degree of independence and comfort operating in ambiguity.


Preferred Experiences:

  • Handson experience in dealer audits and service and warranty program risk management, with a proven ability to translate field realities and program design into actionable audit insights.
  • Professional certification such as PMP, CIA, CISA, or equivalent (completed or in progress).

Location: Hybrid. This role is categorized as hybrid. This means the successful candidate is expected to report to the - Global HQ Detroit MI three times per week, at minimum [or other frequency dictated by the business]
Relocation: This role is NOT eligible for relocation benefits.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)







About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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Benefits

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General Motors logo

About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908