ZipRecruiter

Log In

1

Director Model Risk Governance Jobs in Oregon (NOW HIRING)

phData

OR · On-site

Develop AI governance operating model blueprints: governing bodies, roles, RACIs, and interaction models across Technology, Product, InfoSec, Risk, and Legal * Define and operationalize AI FinOps ...

Cotiviti

... their direct impact to business outcomes. Responsibilities * As a Generative AI Scientist within ... Understanding and familiarity with model governance and data governance best practices. * Strong ...

Cotiviti

... direct impact to business outcomes. Responsibilities * As a Senior GenAI Scientist II within ... Understanding and familiarity with model governance and data governance best practices. * Strong ...

Upstart

Manager, Treasury Risk

OR · On-site +1

The Risk team is responsible for Upstart's enterprise risk management program and risk governance ... This role reports to the Director, Treasury Risk. How you'll make an impact * Execute day-to-day ...

New

Cencora

OR · On-site

Job Details The Director, Enterprise Risk Management is responsible for managing and maturing the ... Experience designing overall ERM strategy to include the design of Risk Governance Framework, risk ...

Upstart

Credit Risk Manager

OR · On-site +1

... peers in Model Risk Management and Fair Lending on second line teams. * Prepare and present portfolio risk analyses, monitoring results, and recommendations to senior leadership, governance ...

Upstart

OR

... of direct people management experience leading technology risk, information security governance ... model-intensive operating environment Position location This role is available in the following ...

Granicus

Job Summary We are hiring a Director of AI Go-to-Market Strategy to build and lead a team of AI ... risk/governance alignment, and close plans). * Model consultative leadership in the field ...

Upstart

Senior Manager, Risk Analytics

OR · On-site +1

The Risk team is responsible for Upstart's enterprise risk management program and risk governance ... of directors to ensure effective identification and assessment, measurement, monitoring and ...

Deckers

Director, Data Governance

OR · Remote

... risk posture, and compliance obligations * Establish and operate governance structures that support ... models, data quality management, and tooling enablement * Strong knowledge of data governance ...

Standard, The

OR · On-site

The Director, Corporate Governance provides strategic leadership and oversight of the company ... Strong knowledge of corporate governance frameworks, regulatory requirements, risk management ...

next page

Showing results 1-20

All JobsDirector Model Risk Governance JobsDirector Model Risk Governance Jobs in Oregon

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 popular job titles related to Director Model Risk Governance jobs in Oregon? For Director Model Risk Governance jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Director Model Risk Governance jobs in Oregon look for? The top searched job categories for Director Model Risk Governance jobs in Oregon are:
Director Model Risk Governance jobs near you
AI Governance Leader

AI Governance Leader

phData

OR • On-site

Other

Posted 24 days ago

Job description

phData is seeking an AI Governance Leader to join our Advisory team. You'll help enterprise clients identify AI governance gaps and design scalable, responsible governance programs that balance value realization and risk management. You'll partner with senior leadership to build frameworks, policies, and operating models, while shaping how AI governance is positioned as a core component of phData's Intelligence Platform strategy.

Core Responsibilities 

Client Delivery & Execution

  • Lead AI ecosystem assessments; identify maturity gaps and design tailored governance frameworks (principles, policies, decision-rights) aligned to client's industry, regulatory environment, and AI enablement vision
  • Own multi-workstream engagements; drive executive alignment and multi-year governance roadmaps connected to AI strategy and value realization
  • Define governance evaluation and approval processes for AI tools and use cases: risk tiers, scoring methodology, and control expectations by risk tier
  • Develop AI governance operating model blueprints: governing bodies, roles, RACIs, and interaction models across Technology, Product, InfoSec, Risk, and Legal
  • Define and operationalize AI FinOps guardrails, including: spend visibility, budget thresholds, usage policies, platform/tool approval, license rationalization, and TCO decisions integrated into the broader governance model
  • Facilitate executive and working sessions to align stakeholders and drive decisions
  • Define governance metrics and dashboards tracking value, cost, risk exposure, control coverage, and governance effectiveness
  • Recommend third-party AI governance tools; collaborate with engineering teams to ensure implementability on modern data & AI platforms
  • Shape and close strategic opportunities in partnership with sales: value propositions, solution approaches, and delivery models
  • Represent phData externally as a thought leader on AI governance at conferences, webinars, and partner events

Client Leadership & Account Growth

  • Serve as a trusted advisor to day-to-day client sponsors and senior stakeholders,  owning relationships, aligning on delivery roadmaps, and surfacing expansion opportunities
  • Partner with executive sponsors, data and analytics leaders, product and delivery teams, and business end users to ensure seamless execution and measurable outcomes
  • Build cross-practice relationships (Data Engineering, Analytics, AI/ML, Advisory) to design and deliver end-to-end solutions that drive customer success

Thought Leadership & Practice Development

  • Contribute to phData's AI Governance, Operating Model, and FinOps offerings: methods, templates, accelerators, and client-ready collateral
  • Support sales pursuits, webinars, and thought leadership focused on AI governance
  • Mentor consultants and senior consultants

Required Qualifications

  • 10+ years in AI/Data ecosystem assessment, multi-stakeholder program leadership, and advising senior executives on AI or data governance
  • Demonstrated experience designing governance frameworks: risk tiering, model risk management, platform/tool approval processes
  • Operating model design experience: roles, RACIs, governance bodies for data, analytics, or AI organizations
  • Strong understanding of AI/GenAI concepts including model types, agentic workflows, and enterprise use cases
  • Familiarity with AI governance standards: NIST AI RMF, EU AI Act, ISO/IEC 42001
  • Working knowledge of data platforms and AI ecosystems (Snowflake, AWS, Claude, etc.) and how governance is implemented in practice
  • Proven consulting delivery skills: problem framing, hypothesis-driven analysis, compelling executive-ready deliverables
  • Excellent communication and storytelling skills; ability to translate complex governance concepts for business audiences
  • Demonstrated ability to influence without authority and build cross-functional consensus
  • Bachelor's degree; ability to travel as required by client commitments
  • Willingness to travel up to 50% per month (10 of 20 business days) when required by our clients

Preferred Qualifications

  • Experience standing up AI governance committees, steering committees, or review boards - charters, cadences, and decision-rights
  • Hands-on model risk management, responsible AI, or regulated-industry compliance experience (financial services, healthcare, or public sector)
  • Prior consulting experience at a data/AI firm or within a central AI/ML office or analytics function
  • Public thought leadership contributions on AI governance
  • Advanced degree or relevant professional certifications

Apply