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Director Model Validation Jobs in Renton, WA (NOW HIRING)

Who you are Metropolis is seeking a Director, Business Intelligence - Finance to own the vision ... Analytical depth and quantitative rigor in model validation, forecasting accuracy, statistical ...

Who you are Metropolis is seeking a Director, Business Intelligence - Finance to own the vision ... Analytical depth and quantitative rigor in model validation, forecasting accuracy, statistical ...

... Direct client. Kindly have a look at JD below and let me know your interest. Title: Sr Data ... Own model validation, threshold tuning, false positive reduction, and ongoing performance ...

This includes defining the strategy for Microsoft's commerce experiences, channel business models ... and validate business cases. * Bring strategy to life through roadmap development, change ...

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Director Model Validation information

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How much do director model validation jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for director model validation in Renton, WA is $24.14, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $27.02 per hour, depending on experience, location, and employer.

What is the difference between Director Model Validation vs Model Validation Analyst?

AspectDirector Model ValidationModel Validation Analyst
CredentialsAdvanced degrees (e.g., Master’s, PhD), professional certifications (e.g., CFA, FRM)Bachelor’s or Master’s degree, relevant certifications often preferred
Work EnvironmentLeadership roles overseeing teams, strategic planning, cross-department collaborationHands-on analysis, testing models, preparing reports
Industry UsageSenior-level positions in banking, finance, risk managementEntry to mid-level roles supporting validation processes

The main difference is that the Director Model Validation leads and manages validation teams, focusing on strategy and oversight, while the Model Validation Analyst performs detailed testing and analysis under supervision. The director role requires more experience, leadership skills, and higher credentials, whereas the analyst role is more technical and execution-focused.

What job categories do people searching Director Model Validation jobs in Renton, WA look for? The top searched job categories for Director Model Validation jobs in Renton, WA are:

AI Governance, Risk & Compliance (GRC) Director

BECU

Tukwila, WA • On-site

$146.60 - $273/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 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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