AI Solutions Enablement Specialist - Remote Alberta

Our public sector client is seeking a AI Solutions Enablement Specialist for a 5 month contract. See details below.

Client: Public Sector
Duration: 5 months
Location: Remote within Alberta with preference for Edmonton
Pay rate: Negotiable

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Advantages
Working on big projects with one of the leading public sector entities in Alberta

Responsibilities
Key Responsibilities 1. AI Use Case intake and Pipeline Visibility • 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. 2. 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. 3. 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. 4. 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. 5. 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. 6. 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.

Qualifications
Qualifications: Required: • 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.

Summary
If you're looking for a challenging yet rewarding opportunity that allows you to make a significant impact and grow your career, apply now and become an integral part of our client's mission to deliver excellence . Please apply directly to this ad or reach out to your Randstad Digital representative immediately!

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