Change Management Advisor (10+ Years) To Lead Ai Adoption And Workforce Transformation In A Microsof

Change Management Advisor (10+ years) to lead AI adoption and workforce transformation in a Microsoft environmentJob Type:
Contract
Positions to fill:
1
Job End Date:
Mar 31, 2027
Pay Rate:
Daily: Negotiable
Job ID:
156020
Our public sector client is seeking a
Change Management Advisor (10+ years) to lead AI adoption and workforce transformation in a Microsoft environment
Drive organization-wide digital enablement and AI adoption with measurable impact across cross-functional initiatives. This role provides strategic change management advice, co-develops tailored strategies with leaders and pods, and delivers communications, training, and adoption metrics to ensure integration and readiness. The mandate emphasizes building trust in AI and automation while monitoring stakeholder sentiment and accelerating adoption.
Contract, remote
Must Haves10+ years experience in
change management2+ years experience in
AI adoption
and
automationPROSCI
Change Management Certification or Certified Change Management Professional
(CCMP)Targeted
communications, training content, and literacy pathwaysReliability Clearance
Nice to HaveLearning technologies and training solutions for employees and leadership
ResponsibilitiesProvide strategic change management advice to mitigate risks, support decision-making, and ensure integration across initiatives.Collaborate with leaders, pods, and cross-functional teams to assess change impacts and co-develop tailored strategies and implementation plans.Develop and apply structured change management methodologies and strategies to support digital enablement, AI adoption, and workforce transformation.Create metrics for behavioural adoption of generative AI, automation, or other AI tools, as specified in related tasks.Develop and deliver targeted communications, training content, AI literacy pathways, and engagement materials to support change execution and user readiness.Monitor and report on change progress, including stakeholder sentiment, adoption metrics, and feedback loops.Recommend evidence-based interventions to manage resistance and build trust in AI and automation.
#J-18808-Ljbffr