Job Description

Engages in a role that directly supports business operations in an effort to achieve the strategic goals of the organization, with a focus on AI enablement. This position supports the coordination, documentation, testing, rollout, and ongoing lifecycle management of AI solutions and related resources. The role helps teams adopt AI responsibly by maintaining playbooks and guidance, supporting knowledge-sharing, assisting with release readiness, and tracking feedback and outcomes. 

Primary Responsibilities

Operational coordination and planning

• Supports development and execution of enablement plans and operational rhythms; tracks milestones, dependencies, risks, and status for AI enablement.

• Manages intake, triage, and prioritization of enablement requests and questions, ensuring predictable follow-through and clear communications.

Knowledge management (AI guidance, FAQs, enablement content)

• Develops, documents, playbooks, templates, and “how-to” guidance that help teams use AI tools consistently and responsibly.

• Helps build and maintain an AI Enablement Resource Hub and supports ongoing knowledge sharing across teams.

Lifecycle and continuous improvement

• Assists with the project lifecycle implementation process and operational tasks associated with delivery (tracking work, coordinating reviews, maintaining documentation, and supporting closure/transition).

• Identifies recurring issues or friction points and recommends process improvements that streamline enablement and adoption.

• Assists with content for communities of practice to drive adoption and awareness.

Measurement and reporting

• Creates and produces reports and analysis (adoption signals, common questions, content gaps, enablement progress) and shares summaries with stakeholders.

Testing and quality support (pre-release and post-release)

• May assist in basic testing processes for AI-related updates or agents in development.

• Will learn and leverage the Microsoft evaluation tool.

• Supports readiness activities by ensuring release notes, known issues, FAQs, and training artifacts are accurate and easy for employees to use.

Knowledge, Skills, and Abilities

• Strong writing and organization skills; ability to turn messy inputs into clear guidance, checklists, and user-friendly documentation.

• Comfortable coordinating across multiple stakeholders and keeping work moving (follow-ups, action tracking, meeting notes, status updates).

• Analytical mindset; can spot trends, synthesize feedback, and translate it into practical improvements.

• Interest and excitement in AI concepts and employee enablement; able to learn new tools quickly and explain them in plain language.

• Familiarity (or willingness to learn) AI enablement frameworks, resource hubs, and role-based learning paths.

Complexity

• Works on a variety of enablement activities with multiple stakeholders and recurring deadlines. Tasks require judgment in prioritization, documentation quality, and follow-through, with guidance available from senior team members.

Supervision

• Receives general direction. Expected to manage day-to-day tasks independently, escalate risks early, and communicate status consistently.

Problem Solving

• Investigates options, recommends courses of action, and supports implementation of improvements that increase effectiveness and reduce friction in employee enablement.

Education

• Bachelor’s degree (or equivalent relevant experience) in Business, Communications, Information Systems, Learning & Development, or a related field.

Experience

• Early career (typically 1–3 years) in operations, program coordination, enablement, training support, knowledge management, or a similar role.

• Experience creating documentation, supporting process improvements, and coordinating work across teams.

• Experience with Microsoft 365 applications, including Copilot, SharePoint, Teams, and Word, as well as ServiceNow knowledge article creation

Competencies

• Collaboration and stakeholder partnership

• Operational rigor and follow-through

• Clear, timely communication

• Continuous improvement mindset

• Customer/employee-centric approach to enablement and support

Time zone expectation: Working hours should preferably overlap with US Eastern Time/Greenwich Mean Time some to support stakeholder collaboration.