AI Enablement – Governance Manager

🕒 July 29

🇺🇸 United States – Remote

💵 $110.3k - $171.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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WCG

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

💊 Pharmaceuticals

☁️ SaaS

💰 Private Equity Round - WCG on 2019-11

Healthcare • Pharmaceuticals • SaaS

WCG is a global clinical research services and technology company that supports sponsors, CROs, research sites, and institutions across the lifecycle of clinical trials. Founded as a leader in independent ethical review, WCG provides IRB and IBC review, data monitoring committees, site enablement and study start-up services, participant recruitment and retention, and data & insights (including benchmarking, statistical consulting, and AI-powered trial foresight). The company also offers a suite of technology platforms (e. g. , ClinSphere®, eReview Manager, Total Enrollment, Total Feasibility) and large protocol and performance datasets to help design, plan, and run trials more efficiently and compliantly. WCG positions itself as a partner to biopharma and medical research organizations to accelerate trial activation, improve enrollment, and ensure regulatory and ethical compliance.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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