AI Enablement & Governance Manager (Remote)

About WCG:

WCG delivers transformational solutions that accelerate clinical research and advance human health. We serve the experts, innovators, and pathfinders on the frontlines of science and medicine—empowering them to develop breakthrough therapies while ensuring the risks of progress never outweigh the value of human life. Together, we stimulate growth, maximize efficiency, and shape the future of clinical trials.

Why WCG:

At WCG, we invest in our people because you are the driving force behind our mission. When you grow, our impact grows. When you thrive, research accelerates. We empower you to build a meaningful career while advancing the work that improves lives.

What we offer:

• Comprehensive health and financial protection – Medical, dental, vision, life and disability insurance, 401(k) with company match, and flexible spending accounts
• Resources that support your whole life – Employee assistance programs and work/life balance tools
• Investment in your growth – Referral bonuses, tuition reimbursement, on-the-job training, certification assistance, and continuing education support
• Time to recharge – Paid holidays, vacation, and sick time
• Pathways forward – Career development opportunities across One WCG

We practice transparency in everything we do, including compensation. The salary range for this position reflects our commitment to fair, competitive pay based on your qualifications, experience, skills, education, and location. Together, we’ll find the right fit for your expertise and our shared mission.

Job Summary:

The AI Enablement & Governance Manager is an individual contributor responsible for driving the creation, adoption, and governance of internal AI agents across the enterprise. This role owns the enterprise Agent Registry, defines risk tiering models, and establishes standardized agent workflow patterns to ensure secure, compliant, and scalable AI-driven automation. The position partners closely with engineering, product, compliance, and business teams to operationalize AI-driven workflow automation at scale across a range of agentic platforms.

ESSENTIAL DUTIES/RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily. The accountabilities listed below are representative of the knowledge, skills, and/or ability required.

• 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.
• Other duties as assigned by supervisor. These may, on occasion, be unrelated to the position described here.

EDUCATION REQUIREMENTS:

• Bachelor’s degree in Computer…