AI Enablement & Governance Manager (Remote)

WCG; United States; On-site; USD 110,000 - 172,000; Full time

Benefits offered by this job

Health insurance

Dental + Vision insurance

401(k) match

Tuition reimbursement

On‑the‑job training

Continuing education support

Paid holidays

Vacation and sick time

Career development

Job summary

WCG is seeking an AI Enablement & Governance Manager to drive creation, adoption, and governance of internal AI agents across the enterprise. This role leads the enterprise Agent Registry, defines risk tiering models, and establishes standardized agent workflow patterns to ensure secure, compliant, and scalable AI-driven automation.

You will partner with engineering, product, compliance, and business teams to operationalize AI-driven automation at scale across platforms.

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.

Responsibilities

• Design, build, and deploy internal AI agents leveraging various platforms.
• Own and maintain the enterprise Agent Registry with metadata and auditability.
• Define and implement enterprise risk tiering for AI agents.
• Establish and enforce governance frameworks for agent development and deployment.
• Develop standardized agentic workflow patterns and escalation pathways.
• Drive enterprise adoption of AI agents for workflow automation across units.
• Identify, prioritize, and implement high-impact automation use cases across processes.
• Collaborate with engineering to integrate agents with enterprise systems.

Skills

5+ years in tech/AI

Hands-on with AI frameworks

Education

Bachelor’s degree in CS, IS, or related

Tools

Agentic platforms

Job description

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:

• 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 Science, Information Systems, or related field required.

Certifications/License/Registration Requirements

• None

Qualifications/Experience

• 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.

SUPERVISORY RESPONSIBILITIES

None

TRAVEL REQUIREMENTS:

0% to 5%

Pay Range

USD $110,250.00 - USD $171,500.00 /Yr.

EEOC Statement

WCG is proud to be an equal opportunity employer. Qualified applicants will receive consideration for employment based on merit and without regard to race, color, national origin or ancestry, religion or creed, sex, sexual orientation, gender expression, gender identity, age, marital status, pregnancy, family or parental status, disability, genetic information, citizenship, veteran status, or any other legally recognized basis or status protected by federal, state, or local law. WCG complies with the Vietnam Era Veterans' Readjustment Act and Section 503 of the Rehabilitation Act. We promote a "One WCG" culture where all are welcome, respected, valued, and empowered to make a difference every day to advance clinical research.