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Manager Model Risk Management Jobs in Oregon (NOW HIRING)

phData

OR

... 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 ...

PeaceHealth

Clinical Risk Manager Sr

Springfield, OR

$50.89 - $76.33/hr

Develops and communicates with senior management on appropriate responses to risk events and medical care complaints in accordance with legal requirements. * Develops and implements system-wide risk ...

Upstart

Senior Manager, Risk Analytics

OR · On-site +1

The Risk team is responsible for Upstart's enterprise risk management program and risk governance ... Strong understanding of data modeling concepts in both transactional and analytical databases

HealthEdge

This is a leadership role where you will pair your product development and people management ... Work closely with Engineering and Data Science to build predictive models and real-time data ...

Upstart

Principal Program Manager, Tech Risk (BC/DR)

OR · On-site +1

This role sits in the first line of defense and partners closely with Enterprise Risk Management ... Skilled in developing scalable operational processes, program governance models, documentation ...

Aptive

Knowledge of AI governance, model risk management, and responsible AI practices. * Experience in VA or other Federal Agencies Technical Skills * AI/ML pipeline orchestration * MLOps and CI/CD ...

Emerus

$125K - $168K/yr

Experience supporting multi-state operations and joint venture or partnership models. * Experience implementing or maturing an enterprise risk management (ERM) framework and related governance.

Ascension

Risk Services Project Manager

$96K - $134K/yr

Risk Management Schedule : Full time, Days Salary range : $96,208.99- $134,109.89 per year Eligible ... Project Management experience preferred * Proficiency in spreadsheet modeling and navigation of BI ...

Grow Financial Federal Credit Union

$20/hr

This position has the responsibility for supporting risk management activities related to risk assessments and practices. This includes non-financial risk assessments, risk reviews, and supporting ...

Azure Standard

Director of Legal & Risk Management

OR · On-site

We are seeking a Director of Legal & Risk Management to serve as a strategic advisor and steward of legal integrity across the enterprise. This role exists to protect Azure's people, relationships ...

Mechanics Bank

Compliance Risk Manager

Portland, OR

As part of Mechanics Bank's second line of defense Compliance Risk Management function, the Compliance Risk Manager will report to the Director of Compliance Risk and will be responsible for owning ...

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Manager Model Risk Management information

What is the highest paying risk management job?

The highest paying risk management roles are often senior positions such as Chief Risk Officer (CRO) or Director of Risk Management, with salaries exceeding $200,000 annually. These roles typically require extensive experience, advanced certifications like FRM or CFA, and strong leadership skills in financial institutions or large corporations.

What does a model risk manager do?

A model risk manager oversees the identification, assessment, and mitigation of risks associated with financial and operational models used within an organization. They ensure models are accurate, compliant with regulations, and perform as intended, often working with validation teams and utilizing tools like statistical software. Their role helps prevent financial loss and supports sound decision-making.

What is the difference between Manager Model Risk Management vs Model Risk Analyst?

AspectManager Model Risk ManagementModel Risk Analyst
CredentialsTypically requires advanced degrees (e.g., MBA, Master's in Finance or Risk), certifications like FRM or CFAOften requires similar credentials, such as FRM or CFA, but may have less emphasis on managerial certifications
Work EnvironmentLeads teams, manages risk frameworks, and interacts with senior managementPerforms detailed risk analysis, supports model validation, and reports findings
Employer & Industry UsageCommon in banking, asset management, and financial institutionsFound in similar environments, often as a supporting role to managers

The Manager Model Risk Management oversees the entire model risk framework, manages teams, and interacts with senior stakeholders. In contrast, the Model Risk Analyst focuses on detailed analysis, validation, and reporting of models. Both roles require similar credentials but differ in scope and responsibilities.

Is model risk management a good career?

Model risk management is a specialized field within financial and banking sectors that involves identifying, assessing, and mitigating risks associated with financial models. It offers opportunities for growth, requires strong analytical skills, and often involves certifications like FRM or CFA. The role is considered stable and in demand due to increasing regulatory requirements and reliance on complex models.

What is the salary of model risk management in Deloitte?

The salary for a Manager in Model Risk Management at Deloitte typically ranges from $110,000 to $150,000 annually, depending on experience, location, and performance. Additional benefits may include bonuses, health insurance, and professional development opportunities.
What are the most commonly searched types of Model Risk Management jobs in Oregon? The most popular types of Model Risk Management jobs in Oregon are:
What are popular job titles related to Manager Model Risk Management jobs in Oregon? For Manager Model Risk Management jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Manager Model Risk Management jobs in Oregon look for? The top searched job categories for Manager Model Risk Management jobs in Oregon are:
What cities in Oregon are hiring for Manager Model Risk Management jobs? Cities in Oregon with the most Manager Model Risk Management job openings:
Manager Model Risk Management jobs near you
AI Governance Leader

AI Governance Leader

phData

OR

Other

Posted 23 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

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