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Director Model Risk Governance Jobs in Seattle, WA

GLOBAL STRATEGY, GOVERNANCE & OPERATING MODEL * Partner with the Director, Global Benefits to ... COMPLIANCE, RISK & GOVERNANCE OVERSIGHT * Maintain visibility into emerging regulatory, compliance ...

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Director Model Risk Governance information

See Seattle, WA salary details

$61.5K

$162.9K

$295.9K

How much do director model risk governance jobs pay per year?

As of Aug 11, 2026, the average yearly pay for director model risk governance in Seattle, WA is $162,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $190,600.00 per year, depending on experience, location, and employer.

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 model risk governance?

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 is a director model risk governance?

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 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 popular job titles related to Director Model Risk Governance jobs in Seattle, WA? For Director Model Risk Governance jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Seattle, WA look for? The top searched job categories for Director Model Risk Governance jobs in Seattle, WA are:
Infographic showing various Director Model Risk Governance job openings in Seattle, WA as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $162,948 per year, or $78.3 per hour.

AI Governance, Risk & Compliance (GRC) Director

BECU

Tukwila, WA • On-site

$146.60 - $273/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


BECU rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz


Job description

Pay Range

Target Pay Range: $189,000.00 - $230,700.00 annually. The full Pay Range: $146,600.00 - $273,000.00 annually.

Benefits
  • 401(k) Company Match (up to 3%) 4% annual contribution to your 401(k) by BECU
  • Medical, Dental and Vision (family contributions as well)
  • PTO Program + Exchange Program
  • Tuition Reimbursement Program
  • BECU Cares volunteer time off + donation match
Location

Eligibility: Residents of WA, OR, ID, AZ, TX, GA, SC, NC, CA or VA. Washington residents within commuting distance of Tukwila must work on Tuesdays and Wednesdays in HQ. Remote work is available for approved locations.

Impact You’ll Make

As the AI Governance, Risk & Compliance (GRC) Director, you will help shape how AI is responsibly and effectively adopted across BECU.

What You’ll Do
  • AI Governance Leadership: Serve as the primary strategic liaison between AI innovation teams and enterprise control functions.
  • Cross-Functional Partnership: Build strong relationships across legal, regulatory, compliance, risk, technology, and business teams.
  • Strategic Advisory Support: Act as a trusted advisor to AI innovation and control partners, translating complex AI concepts into clear guidance.
  • Governance Framework Development: Help create, evolve, and sustain enterprise-wide AI governance frameworks.
  • Policy & Controls Integration: Develop, refine, and implement AI usage policies embedded within existing risk, compliance, cybersecurity, and data privacy frameworks.
  • Model Risk Collaboration: Partner with Model Validation and Model Risk Management teams.
  • Regulatory Readiness Planning: Identify legal, regulatory, and governance requirements associated with AI adoption.
  • Risk Identification & Mitigation: Proactively identify governance gaps, compliance concerns, and emerging AI-related risks.
  • Framework Assessment & Enhancement: Evaluate existing AI and advanced analytics governance practices and recommend improvements.
  • Scalable Governance Solutions: Develop repeatable templates, guidance materials, governance artifacts, and frameworks.
  • Responsible AI Advocacy: Champion responsible AI practices and establish approaches for managing model failures, unintended outcomes, and compliance risks.
  • Industry & Regulatory Monitoring: Interpret changing regulatory expectations and emerging best practices.
  • Executive Engagement: Prepare and deliver clear presentations, recommendations, and decision-support materials for senior leaders.
  • Enterprise AI Program Readiness: Support successful scaling of AI initiatives by ensuring governance, legal, compliance, and regulatory requirements are addressed early.
  • Additional Responsibilities: Perform additional duties and strategic initiatives as assigned.
What You’ll Gain
  • The opportunity to shape the future of AI governance, risk management, and responsible innovation at a leading credit union.
  • Direct influence on how emerging AI technologies are safely and effectively adopted across the organization.
  • A highly visible role partnering with executive leaders, governance teams, and technology innovators.
  • The ability to drive meaningful outcomes that improve employee productivity and member experiences.
  • Exposure to cutting-edge AI initiatives and evolving regulatory landscapes within a regulated industry.
  • Opportunities to build enterprise frameworks and governance capabilities with lasting impact.
  • A collaborative environment that values expertise, strategic thinking, and relationship-building.
  • Continuous learning and growth in AI, governance, compliance, risk management, and financial services innovation.
  • The chance to balance innovation and accountability while defining responsible AI implementation at scale.
  • Meaningful work contributing to BECU’s mission of improving financial well-being of members.
Qualifications
  • Minimum: Bachelor’s degree in Business, Law, Computer Science, or related field. Advanced degree preferred.
  • Typically requires 10 years of experience in Governance, Risk & Compliance (GRC), Model Risk Management, Data Governance, or Legal/Compliance.
  • Experience designing enterprise governance frameworks for AI or advanced analytics.
  • Expert understanding of regulatory environments (e.g., NCUA, CFPB, GLBA).
  • Demonstrated experience working with emerging technologies, including AI or Generative AI.
  • Desired: Experience in regulated industries, especially financial services or credit unions.
  • Proven ability to operate effectively in ambiguous, evolving environments.
  • Experience influencing senior leaders across multiple functions without direct authority.
  • Advanced research, analytical, and policy development experience.
  • Excellent collaboration, relationship-building, communication, and executive presentation skills.
  • Familiarity with model validation, data governance, or cybersecurity within financial services preferred.
  • Demonstrated thought leadership in responsible AI or emerging technology risk management preferred.
  • Ability to balance innovation enablement with appropriate risk controls.
EEO Statement

BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

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