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Model Risk Governance Manager Jobs in Michigan (NOW HIRING)

... model testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or ...

Responsibilities - Develop and implement AI governance frameworks - Conduct risk assessments to ... models preferred - Demonstrating experience with technology governance functions - Distilling ...

Responsibilities - Develop and implement AI governance frameworks - Conduct risk assessments to ... models preferred - Demonstrating experience with technology governance functions - Distilling ...

Strong knowledge of financial risk assessment, internal controls, and governance frameworks. * Proficiency in treasury, risk management, and financial systems, with strong analytical and modeling ...

... models and technical standards - Managing projects assessing governance, risk, and control programs - Leading AI/ML and emerging technology control efforts - Coaching teams on emerging data ...

... model methodology governance, results aggregation, capital actions analysis, documentation and ... Prior experience in risk management role or at a U.S. banking regulator. * Familiarity with key ...

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Model Risk Governance Manager information

What is the difference between Model Risk Governance Manager vs Model Risk Analyst?

AspectModel Risk Governance ManagerModel Risk Analyst
Primary FocusOversees model risk policies, governance frameworks, and compliancePerforms detailed model validation, testing, and analysis
ResponsibilitiesDevelops risk management strategies, monitors model risk, ensures regulatory adherenceConducts model performance assessments, documentation, and validation activities
Required CredentialsAdvanced degrees in finance, statistics, or related fields; certifications like FRM or CFA often preferredSimilar credentials; often holds certifications like FRM or CFA
Work EnvironmentStrategic, governance-focused teams within financial institutionsAnalytical teams performing technical validation tasks

The Model Risk Governance Manager focuses on overseeing model risk frameworks and ensuring compliance, while the Model Risk Analyst conducts detailed model validation and testing. Both roles require similar credentials and work within the financial industry, but their responsibilities differ in scope and focus.

What are the most commonly searched types of Model Risk Governance jobs in Michigan? The most popular types of Model Risk Governance jobs in Michigan are:
What are popular job titles related to Model Risk Governance Manager jobs in Michigan? For Model Risk Governance Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Model Risk Governance Manager jobs in Michigan look for? The top searched job categories for Model Risk Governance Manager jobs in Michigan are:
What cities in Michigan are hiring for Model Risk Governance Manager jobs? Cities in Michigan with the most Model Risk Governance Manager job openings:
Infographic showing various Model Risk Governance Manager job openings in Michigan as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
AI Governance Manager

AI Governance Manager

Pwc

Detroit, MI

$99K - $297K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Manager

Job Description & Summary

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.
Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the AI Governance team, you will enhance project delivery through innovative methodologies and technology resources. As a Manager, you will lead teams in assessing governance, risk, and control programs while mentoring junior staff to develop their skills. This position provides an exciting opportunity to work at the forefront of AI governance, maintaining compliance and transparency in emerging technologies.
Responsibilities
- Enhance project delivery by implementing innovative methodologies
- Lead teams in evaluating governance, risk, and control frameworks
- Mentor junior staff to develop their professional skills and capabilities
- Maintain rigorous standards of quality and compliance in every deliverable
- Build and nurture meaningful client relationships through impactful communication
- Utilize technology resources and data visualization tools for project success
- Identify opportunities for innovation and process enhancement
- Collaborate with stakeholders to maintain alignment on project objectives
What You Must Have
- Bachelor's Degree
- At least 5 years of experience
What Sets You Apart
- Bachelor Degree in Management Information Systems & Accounting, Data Processing/Analytics/Science, Statistics, Mathematics, Physics, Economics and Finance & Technology, Business Administration/Management, Accounting & Technology, Regulatory Compliance, or Computer Science preferred
- Possessing experience in AI/ML model testing and validation, risk management, controls testing, or audit related to AI, analytics, or information systems, governance or compliance roles focused on AI, emerging technology, or digital systems
- Leveraging understanding of technological risks and internal controls
- Knowledge of leading business and risk management frameworks for AI
- Designing AI governance operating models and technical standards
- Managing projects assessing governance, risk, and control programs
- Leading AI/ML and emerging technology control efforts
- Coaching teams on emerging data technologies and analytics-driven assessments
- Translating technical concepts for non-technical stakeholders
- Subject matter knowledge to support thought leadership development

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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