AI Enablement & Governance Manager
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Job Description
AI governance manager enabling secure agent automation for WCG’s clinical-trial solutions. Establishing enterprise registry, risk tiering, workflows, and adoption standards.
Responsibilities:
- 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:
- 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:
- 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
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