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Model Risk Governance Manager Jobs in Michigan (NOW HIRING)

AI Governance Manager

Detroit, MI · On-site

$99K - $297K/yr

... 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 ...

A Data Governance Manager is responsible for establishing and maintaining a robust data governance ... Experience in data modeling of large and complex data stores, preferred * Professional services ...

A Data Governance Manager is responsible for establishing and maintaining a robust data governance ... Experience in data modeling of large and complex data stores, preferred * Professional services ...

Director, AI Governance Attorney

Ann Arbor, MI · On-site +1

$207K - $362K/yr

Advise on legal issues across the AI lifecycle, including model risk, transparency, accountability ... Program Operations & Risk Management * Develop metrics, reporting, and governance processes to ...

New

AI Governance Sr. Manager

Detroit, MI · On-site

$119K - $337K/yr

As a Manager, you will lead teams in assessing governance, risk, and control programs while ... risk frameworks such as NIST and ISO - Supporting the design and assessment of AI governance models ...

... governance model for AI use across the enterprise. This role partners closely with the AI ... Major responsibilities and tasks of the position: - Coordinate and manage AI use case intake ...

... 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 ...

Lead Security Architect

Lansing, MI · On-site

$75 - $95/hr

Model Risk Management * AI Governance and Security Controls Security Frameworks Experience with one or more of the following: * NIST Cybersecurity Framework (CSF) * NIST 800-53 * CIS Controls * Zero ...

Risk Manager I (US)

Southfield, MI · On-site

$91K - $136K/yr

... model mechanism in the context of usage in Auto Acquisition and Pricing Strategy, proficient in ... Demonstrates governance, control and risk management behaviors in alignment with TD policies and ...

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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.

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Data Governance Manager

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Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. Data Governance Manager Detroit, MI (Hybrid/Onsite Tues-Thurs) W2 contract role 12 months with potential for contract-to-hire Job Summary The Data Governance Manager serves as the enterprise-wide owner for data governance, owning the overarching governance framework that guides all data practices across the organization. Operating at the center of the hubandspoke model, this role ensures consistency, standardization, and alignment across all business units, domains, and data stewardship teams.

This role provides definitive guidance on all governance practices across the enterprise, partnering with stakeholders to support governance policies, processes, and best practices that enable trusted, high-quality, and wellmanaged data for strategic decision making. Key Accountabilities: Maintain and evolve the enterprise-wide data governance framework, ensuring policies, standards, and processes are current, consistent, and aligned with organizational strategy. Manage steward enterprise data definitions, metadata standards, and quality expectations.

Ensure consistent adoption of governance practices across all business units, domains, and data stewardship teams. Work closely with spoke-level governance leads to align on data definitions, resolve discrepancies, and drive enterprise-wide standardization. Provide definitive guidance on governance practices, serving as the central authority for interpreting policies, processes, and standards.

Support stakeholders in applying governance best practices to enable trusted, high-quality, wellmanaged data. Establish enterprise data quality metrics, thresholds, and monitoring expectations. Oversee issue management processes, ensuring timely resolution and root cause analysis.

Facilitate governance councils, working groups, and cross-functional forums to drive alignment and decision-making. Educate and enable stakeholders on governance roles, responsibilities, and processes. Partner with IT stakeholders to ensure governance tools (e.g., data catalog, metadata management, lineage) support enterprise standards and are used consistently across spokes

Maintain governance documentation repositories and ensure accessibility and version control. Ensure governance practices support regulatory, privacy, and compliance requirements. Identify governance risks and recommend mitigation strategies.

Education & Experience Requirements Bachelor's degree in information management, Data Science, Computer Science, Business, or a related field (Master's degree preferred but not required) 5-8 years of experience in data governance, data management, data quality, metadata management, or related disciplines Experience working within a hubandspoke governance model or other federated data management structures Hands-on experience with enterprise data governance tools (e.g., Azure Purview Collibra, Alation or Similar) Familiarity with data privacy and regulatory frameworks (e.g., GDPR, HIPAA, SOX) Strong understanding of data architecture concepts, including lineage, metadata, master data, and reference data Demonstrated ability to influence stakeholders at all levels without direct authority Experience facilitating governance councils, working groups, or crossfunctional decision-making forums *Beware of scams. S3 never asks for money during its onboarding process