AI Enablement & Governance Lead

WCG Clinical, Inc.; United States; Remote; USD 110,000 - 172,000; Full time

Job summary

WCG is seeking an AI Enablement & Governance Manager to drive internal AI agents across the enterprise, owning the Agent Registry and defining risk tiering to ensure secure, compliant automation. This role partners with engineering, product, compliance and business teams to scale AI-driven workflows.

You will design governance, establish patterns for prompt engineering and orchestration, prevent proliferation of agents, and enable business users through training and documentation.

Qualifications

• 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 with a focus on measurable outcomes and risk-aware delivery.

Responsibilities

• Design, build, and deploy internal AI agents leveraging a range of agentic platforms (e.g., Copilot, custom LLM frameworks, low-code platforms, and external AI ecosystems).
• Own and maintain the enterprise Agent Registry, including metadata, ownership, usage metrics, lifecycle status, and audit traceability for all agents.
• Define and implement enterprise risk tiering for AI agents based on data sensitivity, autonomy level, regulatory impact, and business criticality.
• Establish and enforce governance frameworks for agent development, deployment, monitoring, and retirement.
• Develop and standardize approved agentic workflow patterns (e.g., human-in-the-loop, approval gating, escalation pathways, audit logging, fail-safe handling).
• Prevent uncontrolled proliferation of AI agents through standardization, registry enforcement, and rationalization of redundant or overlapping solutions.
• Drive enterprise adoption of AI agents for workflow automation across business units.
• Identify, prioritize, and implement high-impact automation use cases across operational and business processes.
• Establish standards and reusable patterns for prompt engineering, orchestration, and integration across platforms.
• Monitor agent performance, risk posture, and adoption; continuously optimize for 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 to ensure adherence to regulatory, privacy, and security requirements.
• Evaluate and onboard new agentic platforms, tools, and capabilities aligned to enterprise AI strategy.
• Enable business users through structured training, documentation, and hands-on support to accelerate safe AI adoption.
• Evangelize AI-first ways of working and promote disciplined agent lifecycle and governance practices across the organization.

Skills

5+ years exp

AI frameworks

Agentic platforms

Workflow automation

Prompt engineering

Governance models

Risk classification

APIs

Integrations

Cross-functional

Analytical thinking

Education

Bachelor’s degree

Tools

N/A

Job description

WCG is seeking an AI Enablement & Governance Manager to drive internal AI agents across the enterprise, owning the Agent Registry and defining risk tiering to ensure secure, compliant automation. This role partners with engineering, product, compliance and business teams to scale AI-driven workflows.

You will design governance, establish patterns for prompt engineering and orchestration, prevent proliferation of agents, and enable business users through training and documentation.