AI Solutions & Enablement Specialist

• Coordinate intake for AI enablement, Copilot adoption, automation, and related digital enablement requests.

• Clarify business need, expected value, AI fit, data and process readiness, ownership, dependencies, risks, constraints, and next steps.

• Maintain visibility across AI use cases, enablement activities, adoption support, automation opportunities, modernization touchpoints, and related technical debt considerations.

• Track status, ownership, constraints, decision points, sequencing considerations, change impacts, and recommended progression paths.

• Support a consistent intake and triage approach that improves transparency, responsible AI use, and request quality.

AI Use Case Assessment, Gating and Prioritization Support

• Apply intake, gating, readiness, responsible AI, value, risk, and assessment criteria to support consistent evaluation, routing, prioritization input, and decision preparation.

• Assess AI and automation requests against scope, business value, risk, data sensitivity, process readiness, ownership, dependencies, change impacts, and available capacity.

• Prepare rationale for requests that should proceed, pause, defer, redirect, escalate, or be addressed through enablement rather than a technology solution.

• Identify missing information or recurring issues and recommend improvements to AI intake criteria, guidance, templates, enablement supports, and governance practices.

AI solutions, Automation and Responsible Adoption Support

• Support AI solution shaping, automation opportunity analysis, Copilot adoption activities, prompt and workflow guidance, and responsible use practices.

• Coordinate with business areas and delivery partners to clarify problem statements, value, readiness, data considerations, dependencies, constraints, risks, and decision points.

• Prepare use case summaries, adoption materials, trackers, and decision-support materials for DEA and leadership review.

Stakeholder Coordination, Enablement and Opportunity Shaping

• Engage business areas, IST partners, product owners, sponsors, and governance participants to clarify AI needs, use cases, options, dependencies, risks, and decision requirements.

• Translate emerging AI and automation requests into structured opportunity profiles, problem statements, assessment summaries, enablement plans, and recommended progression paths.

• Support working sessions, AI literacy activities, use case reviews, adoption support, and follow-up activities to maintain momentum.

• Promote consistent documentation, responsible AI practices, evidence standards, and decision-framing. Reporting, Tracking and Leadership Decision Support

• Prepare regular reporting for DEA and leadership on AI demand, use case status, adoption progress, constraints, outcomes, risks, and decisions required.

• Maintain trackers, dashboards, decision logs, adoption views, and status summaries that support transparency and follow-through.

• Provide concise analysis and summaries for leadership briefings, prioritization discussions, AI enablement planning, modernization planning, and governance consideration.

Working Methods, Templates, and Transition support

• Document working methods, AI intake guidance, responsible use considerations, assessment criteria, enablement materials, reporting approaches, and decision-support materials.

• Recommend practical improvements to AI intake, use case assessment, enablement supports, prioritization, tracking, and reporting practices.

• Support knowledge transfer and transition guidance for in-flight AI use cases, open decisions, unresolved constraints, adoption supports, and ongoing reporting needs.

What you must have:

• Degree or diploma in Information Technology, Computer Science, Information Systems, or a related field.

• Minimum five years of progressively responsible experience in AI enablement, digital enablement, automation, solution shaping, technology planning, or related enterprise work. Equivalent education and experience may be considered.

• Experience coordinating AI use case intake, assessment, enablement activities, stakeholder engagement, prioritization support, and reporting in a complex environment.

• Experience preparing analysis, enablement materials, briefings, dashboards, trackers, business cases, use case summaries, or decision-support materials for leadership or governance purposes.

Preferred

• Experience in AI enablement, Microsoft Copilot adoption, automation, digital transformation, data enablement, governance, or enterprise modernization.

• Working knowledge of responsible AI practices, data sensitivity considerations, privacy, information management, and technology governance.

• Experience applying business case, value assessment, use case framing, change impact, and decision-framing concepts.

• Experience in a pension, benefits, public sector, or regulated environment.

Desirable Skills and Abilities
The successful candidate must be able to work with limited direction, exercise sound judgment, remain accountable, adapt as priorities evolve, and translate emerging needs into structured, comparable, and decision-ready information. In practical terms, the candidate should bring the following skills and abilities to successfully deliver the work:

• Knowledge of responsible AI practices, automation concepts, data readiness, process improvement, technology lifecycle, sustainment, and enterprise planning.

• Analytical skills to assess ambiguous requests, identify gaps, synthesize information, and recommend practical next steps.

• Analytical skills to assess ambiguous requests, identify gaps, synthesize information, evaluate AI fit, and recommend practical next steps.

• Organization and coordination skills to manage multiple AI use cases, enablement activities, dependencies, action items, decision points, and reporting needs.

• Ability to translate business, operational, data, risk, financial, and technical information into clear opportunity profiles, use case summaries, enablement plans, and decision-ready recommendations.

• Strong stakeholder engagement skills across business areas, IST partners, product owners, sponsors, and governance participants.

• Ability to prepare concise briefings, dashboards, trackers, adoption summaries, use case materials, decision logs, and status reporting.

• Comfort working in an evolving AI environment where requests, processes, accountabilities, guardrails, and tools may still be forming.

• Proactive and accountable in moving work forward while respecting established governance, sponsorship, funding, data stewardship, risk acceptance, and decision-making authority.

Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.