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Contract Model Risk Governance Jobs in Plymouth, MA

Sr. ACO Analyst

Hyannis, MA

$93K - $123K/yr

... risk coding teams with performance reports and actionable insights, including provider-level ... and contract performance. 9. Utilizes good data governance standards when bringing together ...

Sr. ACO Analyst

Hyannis, MA · On-site

$81K - $105K/yr

... risk coding teams with performance reports and actionable insights, including provider-level ... and contract performance. 9. Utilizes good data governance standards when bringing together ...

Sr. Mgr. Enterprise Architecture

Lakeville, MA · On-site +1

$147K - $184K/yr

... operating models, including governance, decision rights, and engagement models • Strong ... risk and technical debt and communicate trade-offs at an executive level • Experience within ...

... governance, and risk management framework during a critical business transformation into a ... Financial Modeling * Financial Reports * Financial Risk Management (FRM) * Organizing * Process ...

New

... supporting risk management initiatives within a fast-paced behavioral healthcare environment ... Coordinates contract lifecycle management, including tracking, renewals, and execution. * Maintains ...

Sr. ACO Analyst

Hyannis, MA · On-site

$63 - $105/hr

... risk coding teams with performance reports and actionable insights, including provider-level ... and contract performance. * 9. Utilizes good data governance standards when bringing together ...

Showing results 41-60

Contract Model Risk Governance information

See Plymouth, MA salary details

$10

$49

$155

How much do contract model risk governance jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for contract model risk governance in Plymouth, MA is $49.74, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $78.46 per hour, depending on experience, location, and employer.

What is contract model risk governance?

Contract Model Risk Governance refers to the framework and processes used by organizations to identify, assess, monitor, and mitigate risks associated with the use of models in contracts or contractual obligations. This role ensures that the use of quantitative models in financial and business contracts complies with regulatory standards and internal policies, reducing the likelihood of errors, misinterpretations, or financial losses. Professionals in this field often oversee model validation, implementation, and documentation, and work closely with compliance, risk, and legal teams. Effective governance helps maintain model integrity and supports sound decision-making across the organization.

What are the key skills and qualifications needed to thrive in contract model risk governance?

To excel in Contract Model Risk Governance, you need a strong background in risk management, quantitative analysis, and familiarity with regulatory requirements, often supported by a degree in finance, mathematics, or a related field. Proficiency with risk management software, model validation tools, and knowledge of frameworks such as SR 11-7 is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for evaluating model risk and collaborating with stakeholders. These skills ensure robust oversight of model risk, regulatory compliance, and support sound decision-making within financial institutions.

What are some common challenges faced by professionals in contract model risk governance roles, and how can they be addressed?

Professionals in Contract Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring thorough model documentation, and effectively communicating risk findings to both technical and non-technical stakeholders. Balancing the need for detailed model validation with tight project timelines can also be demanding. To address these challenges, it's important to foster strong cross-functional collaboration, stay updated on industry best practices, and develop clear communication strategies for reporting risk and compliance issues.

What is the difference between Contract Model Risk Governance vs Contract Model Validation?

AspectContract Model Risk GovernanceContract Model Validation
Primary FocusOverseeing and managing risks associated with contract models, ensuring compliance and risk mitigationAssessing and testing contract models to ensure accuracy and reliability
ResponsibilitiesEstablishing policies, monitoring risk exposure, and implementing controlsPerforming independent reviews, testing model assumptions, and validating outputs
Work EnvironmentRisk management teams, compliance departments, regulatory interactionsQuantitative teams, model validation units, audit functions

While Contract Model Risk Governance focuses on managing and overseeing risks related to contract models, Contract Model Validation involves the technical assessment and testing of those models to ensure their accuracy and reliability. Both roles are essential in a comprehensive risk management framework within financial institutions and industries relying on contract models.

What cities near Plymouth, MA are hiring for Contract Model Risk Governance jobs?

Cities near Plymouth, MA with the most Contract Model Risk Governance job openings:

Infographic showing various Contract Model Risk Governance job openings in Plymouth, MA as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,465 per year, or $49.7 per hour.

Pharma IT Testing & Validation Lead

PB consulting

Hull, MA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We are seeking an experienced Pharma IT Testing & Validation Delivery Lead to lead end-to-end testing and validation services for enterprise pharmaceutical and life sciences IT initiatives. The ideal candidate will have extensive experience managing global QA delivery teams, defining testing strategies, ensuring regulatory compliance, and driving quality engineering transformation through automation and AI-enabled testing practices.

Roles and Responsibilities
  • Lead end-to-end Testing & Validation delivery across multiple pharmaceutical and life sciences projects.
  • Manage onsite and offshore QA teams, ensuring timely delivery, quality, resource planning, and risk management.
  • Define and implement enterprise test strategies, governance models, quality standards, KPIs, and best practices.
  • Oversee Functional, Integration, User Acceptance (UAT), Regression, and Data Testing activities.
  • Drive Quality Engineering initiatives by implementing test automation, AI-enabled testing, and modern testing frameworks.
  • Ensure compliance with GxP, Computer System Validation (CSV/CSA), 21 CFR Part 11, ALCOA+ principles, and data integrity requirements.
  • Serve as the primary escalation point for testing, validation, and delivery-related issues.
  • Collaborate with business stakeholders, project teams, and technology partners to ensure successful project execution.
  • Support solution design, resource planning, staffing, and continuous improvement initiatives.
  • Monitor project health, delivery metrics, and quality KPIs while identifying opportunities for process optimization.
Required Qualifications
  • 8+ years of experience in IT Quality Assurance, Testing, or Validation.
  • 5+ years of experience supporting Pharmaceutical or Life Sciences organizations.
  • Proven experience leading global QA delivery teams across onsite and offshore models.
  • Strong expertise in Test Strategy, Test Governance, and Quality Management.
  • Hands-on experience with:
    • Functional Testing
    • Integration Testing
    • User Acceptance Testing (UAT)
    • Regression Testing
    • Data Testing & Validation
  • Experience driving Quality Engineering through automation and AI-enabled testing.
  • Strong understanding of GxP, CSV/CSA, 21 CFR Part 11, and regulatory compliance requirements.
  • Excellent stakeholder management, customer-facing, communication, and presentation skills.
  • Proven ability to manage risks, escalations, and complex testing engagements.
Preferred Qualifications
  • Experience implementing enterprise QA transformation and test modernization initiatives.
  • Knowledge of test automation frameworks and AI-driven testing platforms.
  • Experience building and leading high-performing QA organizations.
  • Familiarity with Agile, DevOps, and continuous testing practices.
  • Strong leadership, mentoring, and team management skills.