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Director Model Risk Governance Jobs in Washington, PA

Citizens

Fraud Risk Analytics Manager

Pittsburgh, PA · Hybrid

$106K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Model evaluation and performance monitoring Preferred Qualifications * Experience with fraud ... Experience operating within regulated environments and risk governance structures * Master degree ...

Citizens

Fraud Risk Analytics Manager

Pittsburgh, PA · Hybrid

$106K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Model evaluation and performance monitoring Preferred Qualifications * Experience with fraud ... Experience operating within regulated environments and risk governance structures * Master degree ...

Citizens

Fraud Risk Analytics Manager

Pittsburgh, PA · Hybrid

$106K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Model evaluation and performance monitoring Preferred Qualifications * Experience with fraud ... Experience operating within regulated environments and risk governance structures * Master degree ...

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All JobsModel Risk Governance JobsDirector Model Risk Governance JobsDirector Model Risk Governance Jobs in Washington, PA

Director Model Risk Governance information

See Washington, PA salary details

$50.2K

$133.1K

$241.6K

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

As of Aug 16, 2026, the average yearly pay for director model risk governance in Washington, PA is $133,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $155,700.00 per year, depending on experience, location, and employer.

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 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 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 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 popular job titles related to Director Model Risk Governance jobs in Washington, PA?

For Director Model Risk Governance jobs in Washington, PA, the most frequently searched job titles are:

Director Model Risk Governance jobs near you

Artificial Intelligence (AI) Data Governance Officer

Northwest

Bellevue, PA

Full-time

Posted 12 days ago

Job description

IN0534 Fishers, OH0523 Independence Bus Office, OH0713 NW Bancshares HQ, PA0258 Bellevue, PA0736 Administration Center

Job Description

The AI Governance Officer is a senior-level contributor responsible for administering the Bank's enterprise AI governance framework and supporting the oversight of artificial intelligence use cases throughout their lifecycle. The role exercises sound judgment in assessing AI-related risks, facilitating risk-based governance decisions, coordinating cross-functional review processes, and ensuring compliance with internal standards and regulatory expectations. The position plays a critical role in enabling responsible innovation while maintaining transparency, accountability, and effective oversight of AI capabilities deployed across the institution.
Essential Functions
Leads administration of the Bank's enterprise AI risk governance framework and supporting procedures. Coordinates activities across all business lines and corporate functions.
Coordinate intake, assessment, and governance activities for proposed AI use cases. Determine and document the classification of solutions as models, agents, tools, job aids, or other categories defined by policy.
Serve coordinator for the AI Working Group, including preparation of agendas, meeting materials, decision logs, and action item tracking.
Maintain the enterprise inventory of AI use cases and associated governance records.
Assess proposed AI implementations to determine applicable governance requirements and control expectations.
Develop management reporting and dashboards related to AI inventory, approvals, issues, and emerging risks. Monitor compliance with AI governance standards and escalate material issues to executive leadership.
Promote awareness and understanding of AI governance requirements throughout the institution.
Develops and maintains enterprise policies, standards, and procedures governing AI risk.
Serve as a senior member of the Model Risk team, exercising sound judgment in evaluating model risk and making decisions on model approvals and issue closures as a delegate of the Chief Model Risk Officer.
Participate in the research and evaluation of emerging modeling techniques, including AI/ML, and assess their applicability and risk implications within the institution.
Contribute to the development and enhancement of the model risk management framework, including validation methodologies, documentation standards, and governance practices.
Review academic and industry research, summarize key insights, and propose practical applications to improve model risk oversight and innovation.
Ensure compliance with Northwest's policies and procedures, as well as applicable federal and state regulations including SR26-2, interagency AI/ML guidance, and the U.S. Treasury Financial Services AI Risk Management Framework.
Interprets evolving regulatory expectations relating to artificial intelligence and translates them into practical governance requirements.
Serves as the primary coordinator for regulatory examinations, audits, and independent reviews of AI governance.
Additional Essential Functions
Ensure compliance with Northwest's policies and procedures, and Federal/State regulations
Navigate Microsoft Office Software, computer applications, and software specific to the department in order to maximize technology tools and gain efficiency
Work as part of a team
Work with on-site equipment

What You Bring to the Team
Participate in enterprise initiatives involving emerging technologies and advanced analytics.
Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.
Recommend customer service enhancements
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education
Bachelor's Degree Undergraduate degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Master's Degree Master's degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
Work Experience
8 - 12 years Experience in a financial institution or consulting environment, with demonstrated exposure to AI governanceAnd
3 - 5 years Experience evaluating or governing AI/ML use cases across the lifecycle, including:
pre-implementation assessment
control design
post-deployment monitoring
Experience with generative AI, machine learning, or decision-support systems, including understanding of associated risks (e.g., bias, explainability, data dependency, automation risk)
Experience supporting or interacting with internal audit, regulators, or independent model review functions
Experience supporting or interacting with internal audit, regulators, or independent model review functions
Additional Knowledge, Skills and Abilities
Ability to apply risk-based judgment in ambiguous situations, particularly in evaluating AI use cases where regulatory expectations and governance standards are evolving
Ability to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs clearly to both technical and non-technical stakeholders
Ability to challenge and influence business and technology stakeholders to ensure appropriate risk identification, control design, and governance outcomes
Ability to identify patterns, emerging risks, and systemic issues across multiple AI use cases rather than evaluating them in isolation.
Ability to make sound governance decisions in gray areas, including classification (model vs agent vs tool), control requirements, and escalation thresholds
Ability to coordinate cross-functional governance processes and drive clear outcomes across Risk, Technology, Compliance, Legal, and Business teams
Ability to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systems
Licenses and Certifications
Certified Information Systems Auditor (CISA)
Certified in Risk and Information Systems Control (CRISC)
Financial Risk Manager (FRM)
Certified Third-Party Risk Professional (CTPRP)
Relevant AI governance certifications

Northwest is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.

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