WIRB-Copernicus Group

ABOUT WCG:

WCG’s clinical solutions are built on a foundation of best-in-class clinical services companies. We deliver transformational solutions that stimulate growth, foster compliance, and maximize efficiency for those performing clinical trials. WCG is proud to serve individuals on the frontlines of science and medicine, and the organizations striving to develop new products and therapies to improve the quality of human health. It is our role to empower them to accelerate advancement, while ensuring the risks of progress never outweigh the value of human life.

WHY WE LOVE WCG:

At WCG, our employees are our most valuable asset and as with all our assets, we invest in them with an eye toward future success. We provide each eligible employee with a comprehensive set of benefits designed to protect their personal and financial health and to help them make the most of their future.

* 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

The expected base salary range for this position is $110,250 to $171,500. This salary range may vary based on the candidate's qualifications, experience, skills, education, and geographic location.

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 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%