AI Enablement & Governance Manager

WCG

AI governance manager enabling secure agent automation for WCG’s clinical-trial solutions. Establishing enterprise registry, risk tiering, workflows, and adoption standards.

Posted 8/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $110,250 - $171,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI agents, including governance frameworks, risk tiering, and workflow automation. Proficient in collaborating with cross-functional teams to optimize agent performance and ensure compliance with regulatory standards.

Highest-signal resume keywords

AI Agent Design and DeploymentGovernance Framework ImplementationWorkflow Automation Using AI AgentsPrompt Engineering and OrchestrationCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI FrameworksAgentic PlatformsWorkflow AutomationRisk Classification FrameworksGovernance ModelsPrompt EngineeringOrchestration ToolsAPI IntegrationsMulti-Step Workflow DesignData Source Connectivity

Soft Skills

Analytical SkillsProblem-Solving SkillsCross-Functional Communication

Industry Keywords

Digital TransformationCompliance ControlsAgent Lifecycle GovernanceEnterprise SystemsAutomation Use Cases

About the role

Key responsibilities & impact

Design, build, and deploy internal AI agents across agentic platforms
Own and maintain the enterprise Agent Registry, including metadata, ownership, usage metrics, lifecycle status, and audit traceability
Define and implement enterprise AI-agent risk tiering
Establish and enforce governance frameworks for agent development, deployment, monitoring, and retirement
Develop and standardize agentic workflow patterns such as human-in-the-loop, approval gating, escalation pathways, audit logging, and fail-safe handling
Prevent uncontrolled proliferation of AI agents through standardization, registry enforcement, and solution rationalization
Drive enterprise adoption of AI agents for workflow automation
Identify, prioritize, and implement high-impact automation use cases
Establish standards for prompt engineering, orchestration, and platform integration
Monitor agent performance, risk posture, and adoption and optimize quality, reliability, and business value
Partner with engineering teams to integrate agents with enterprise systems, APIs, and governed data sources
Collaborate with compliance, legal, and risk teams on regulatory, privacy, and security requirements
Evaluate and onboard new agentic platforms, tools, and capabilities
Enable business users through training, documentation, and hands-on support
Promote AI-first ways of working and disciplined agent lifecycle governance
Perform other duties as assigned by the supervisor

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, or related field required
5+ years of experience in technology, automation, AI, or digital transformation roles
Hands-on experience with one or more agentic platforms or AI frameworks
Experience designing and governing workflow automation using AI agents or orchestration tools
Understanding of prompt engineering, agent orchestration, and multi-step workflow design
Experience implementing governance models, risk classification frameworks, or compliance controls
Familiarity with APIs, integrations, and enterprise system connectivity
Ability to work cross-functionally with engineering, business, and compliance stakeholders
Strong analytical and problem-solving skills focused on measurable outcomes and risk-aware delivery
Travel requirements: 0% to 5%

Benefits

Comp & perks

Comprehensive Benefits package - Health, Dental, Vision, Life Disability, 401k with match, and flexible spending accounts
Employee Assistance Programs and additional work/life resources
Referral Bonuses and Tuition Reimbursement
Paid time off including holidays, vacation, and sick time
Opportunities for career development with on-the-job training, certification assistance and continuing education reimbursement