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!
P.S. Don’t forget that when you update your profile on Randstad.ca it helps us find you faster when we do have roles that match your skills! So even if this role isn’t for you please update your profile so we can find you!
We look forward to supporting you in your job search!
Good luck!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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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
-----------------------------------------------------------------------------------
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!
P.S. Don’t forget that when you update your profile on Randstad.ca it helps us find you faster when we do have roles that match your skills! So even if this role isn’t for you please update your profile so we can find you!
We look forward to supporting you in your job search!
Good luck!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
show more
