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Director Model Risk Governance Jobs in Michigan (NOW HIRING)

Pwc

AI Governance Sr Associate

Detroit, MI

$72K - $212K/yr

... risk frameworks such as NIST and ISO - Supporting the design and assessment of AI governance models ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Pwc

AI Governance Manager

Detroit, MI

$99K - $297K/yr

... risk frameworks such as NIST and ISO - Supporting the design and assessment of AI governance models ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Denso

Director- Data Analytics and AI

Southfield, MI · On-site

$181K - $226K/yr

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... platforms, and data governance tools). * Experience establishing responsible AI, model risk ...

Kyndryl

Compliance & Risk Management: Partner with the Chief Privacy Officer, Chief Information Security ... Develop and track governance KPIs-such as data quality scores, privacy incidents, and model ...

Corning

... governance model for AI use across the enterprise. This role partners closely with the AI ... risk, responsible AI attributes, versioning, metadata, and lifecycle status are maintained ...

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Director Model Risk Governance information

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

AspectDirector Model Risk GovernanceModel Risk Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., FRM, CFA)Bachelor’s or Master’s degree, relevant certifications
Work EnvironmentStrategic oversight, policy development, senior stakeholder engagementData analysis, model validation, risk assessment
Employer & Industry UsageFinancial institutions, banks, asset managersFinancial institutions, risk management teams
Search & Comparison IntentUnderstanding leadership roles in model risk governanceEntry to mid-level model risk roles, analysis tasks

The main difference is that the Director Model Risk Governance focuses on strategic oversight, policy setting, and managing model risk at a senior level, while the Model Risk Analyst handles technical validation, data analysis, and risk assessment tasks. The director role involves leadership and decision-making, whereas the analyst role is more technical and operational.

What are the key skills and qualifications needed to thrive as a Director of Model Risk Governance, and why are they important?

To thrive as a Director of Model Risk Governance, you need deep expertise in quantitative finance, risk management, and model validation, often backed by an advanced degree in a quantitative field and relevant industry experience. Familiarity with risk management frameworks, regulatory standards (e.g., SR 11-7), and proficiency in analytical tools like Python, R, or SAS are typically required. Exceptional leadership, communication, and critical thinking skills help you effectively oversee teams and coordinate with stakeholders across the organization. These competencies are vital to ensure robust model governance, regulatory compliance, and informed risk-based decision-making at the enterprise level.

What are Director Model Risk Governance roles?

Director Model Risk Governance roles are senior positions responsible for overseeing and managing the risks associated with financial and predictive models within an organization. These professionals establish and implement model risk management frameworks, ensure compliance with regulatory requirements, and oversee model validation processes. They collaborate with model developers, validators, and business units to identify, assess, and mitigate model risks, as well as report on governance effectiveness to senior management. Their work is crucial in maintaining the reliability and integrity of models used for decision-making and regulatory reporting.

What are some common challenges faced by a Director of Model Risk Governance, and how can they be addressed?

A Director of Model Risk Governance often encounters challenges such as ensuring consistent model validation across diverse business units, keeping up with evolving regulatory requirements, and fostering effective communication between model owners, validators, and senior management. Addressing these challenges typically involves establishing robust model risk frameworks, maintaining clear documentation, and promoting a culture of transparency and collaboration. Regular training sessions and open forums can help bridge knowledge gaps, while leveraging technology can streamline model inventory and validation processes.
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 Director Model Risk Governance jobs in Michigan? For Director Model Risk Governance jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Michigan look for? The top searched job categories for Director Model Risk Governance jobs in Michigan are:
What cities in Michigan are hiring for Director Model Risk Governance jobs? Cities in Michigan with the most Director Model Risk Governance job openings:
Director Model Risk Governance jobs near you
Infographic showing various Director Model Risk Governance job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

AI Governance Sr Associate

Pwc

Detroit, MI

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 73 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Senior Associate on the AI Governance team within the Digital Assurance & Technology team, you will focus on developing AI governance frameworks that align with industry standards. As a Senior Associate, you will manage projects that assess governance, risk, and control programs while translating complex technical concepts for non-technical stakeholders. This role presents a unique opportunity to influence AI practices and drive impactful change within the organization.
In this role, you will be part of our Risk and Compliance team, where you will leverage your skills to analyze complex problems and develop deliverables within client service engagements. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, while upholding professional and technical standards. This position offers a unique opportunity to develop a deeper understanding of the business context and how it is changing, all within our Assurance practice.
Responsibilities
- Navigating complex regulatory landscapes to provide risk management solutions for clients
- Building and maintaining meaningful client relationships to understand and anticipate their needs
- Utilizing critical thinking to break down complex concepts and develop actionable insights
- Applying risk governance methodologies to enhance internal controls and mitigate risks
- Interpreting data to inform strategic recommendations and support decision-making processes
- Upholding professional and technical standards in alignment with firm guidelines and independence requirements
- Collaborating with teams to generate innovative ideas and solve regulatory compliance challenges
- Mentoring junior team members to foster their development and enhance team performance
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Economics, Engineering, Finance, Mathematics/Statistics, Project/Technology Management

- Applying experience in AI/ML governance, risk, controls, audit, testing, and validation, including awareness of AI lifecycles and leading risk frameworks such as NIST and ISO

- Supporting the design and assessment of AI governance models, policies, standards, and control programs, while translating technical concepts for non-technical stakeholders
- Demonstrating skills in risk governance within complex environments
- Navigating ambiguity while maintaining professional standards
- Building meaningful client relationships and anticipating needs
- Utilizing critical thinking to break down complex concepts
- Interpreting data to inform insights and recommendations
- Developing a deeper understanding of changing business contexts

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. 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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