Governance, Risk and Compliance AI Lead

Worldwide Clinical Trials

. Build and maintain the Enterprise IT AI Governance framework, including the operating model, standards, procedures, decision rights, risk tiers, controls, and governance records .

Posted 11/10/2026full-timeRemote • North Carolina • United StatesSenior💰 $101,000 - $201,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI governance frameworks, risk management, and compliance within regulated environments, with a strong focus on developing policies, standards, and metrics for AI systems. Proven ability to lead cross-functional initiatives and communicate effectively with stakeholders across various domains.

Highest-signal resume keywords

AI GovernanceRisk ManagementComplianceProgram ManagementStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Governance Framework DevelopmentRisk AssessmentPolicy DevelopmentControl RequirementsExecutive ReportingData GovernanceCybersecurityPrivacy ManagementAI Lifecycle ManagementMachine Learning

Soft Skills

Communication SkillsCollaborationLeadershipStakeholder EngagementProgram Management

Industry Keywords

Regulatory ComplianceLife SciencesHealthcareClinical ResearchGenerative AIAI AgentsInformation SecurityThird-Party RiskQuality ManagementAI Laws and Regulations

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Build and maintain the Enterprise IT AI Governance framework, including the operating model, standards, procedures, decision rights, risk tiers, controls, and governance records
Establish a company-wide intake, assessment, and approval process for AI use cases, AI-enabled vendor products, internally developed solutions, and AI agents
Maintain a centralized inventory of AI systems and agents, including ownership, intended use, data sources, permissions, dependencies, risk classification, approval status, and lifecycle information
Lead risk-based governance reviews with Information Security, Privacy, Legal, Quality, Enterprise Architecture, Data, Vendor Management, Procurement, and other subject-matter experts
Define governance requirements for AI agents, including ownership, approved purpose, identity and access, human oversight, testing, monitoring, logging, change control, incident response, and secure retirement
Coordinate reviews of cybersecurity, privacy, quality, third-party, and operational risks associated with AI
Strengthen governance for clinical, GxP, and other regulated AI use cases
Monitor approved AI technologies for material changes, control exceptions, incidents, performance concerns, and emerging requirements
Deliver governance guidance, training, metrics, executive reporting, and audit-ready evidence
Advise leadership on emerging AI risks, governance gaps, and investment needs

Requirements

What you’ll need

Bachelor's degree in Information Technology, Cybersecurity, Computer Science, Data Science, Risk Management, Business, Law, or a related field
8+ years of progressive experience in governance, risk and compliance, technology risk, cybersecurity, privacy, data governance, audit, quality, or a related discipline
3+ years leading enterprise governance programs, cross-functional risk initiatives, or technology control frameworks
Experience developing policies, standards, risk assessments, control requirements, governance workflows, metrics, and executive reporting
Working experience with AI governance, responsible AI, generative AI, machine learning, automation, AI-enabled vendor products, or AI agent governance is strongly preferred
Strong understanding of technology risk, information security, privacy, third-party risk, data governance, and regulatory compliance
Practical knowledge of large language models, AI agents, machine identities, and AI lifecycle risks
Experience within a regulated, global, life sciences, healthcare, or clinical research environment is highly desirable
Familiarity with recognized AI, risk, security, and privacy frameworks and applicable AI laws and regulations
Strong program-management, stakeholder-management, and communication skills
Proficiency in English
Ability to collaborate effectively across global time zones and manage multiple governance priorities

Benefits

Comp & perks

Competitive benefits package depending on location
Inclusive and equitable workplace
Transparent compensation and pay equity
Equal employment opportunities
Access to equal opportunity