Microsoft Copilot & AI Adoption Lead
Role details
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Job description
Strategy, roadmap and readinessDevelop group-wide agents and the Copilot adoption strategy in line with business prioritiesAssess technology readiness, user confidence, permissions, data practices and AI maturityRecommend which businesses, teams and user groups should be prioritisedDefine programme objectives, owners, timelines, dependencies and governance checkpointsMaintain a practical roadmap from initial pilots through to wider adoption Use-case development and deliveryWork with business leaders and employees to identify practical opportunities for Copilot and automationAssess use cases according to value, effort, user readiness, data sensitivity, risk and scalabilityLead development, pilots, proofs of value and controlled rolloutsEnsure each use case has a clear owner, defined users, success measures and appropriate human oversight.Review results and recommend whether initiatives should be stopped, improved or scaled. Governance, security and responsible AIDevelop a practical Copilot and generative-AI governance frameworkCreate policies covering approved tools, confidentiality, appropriate use, human review and accountabilityMaintain an inventory of AI tools, use cases, owners, users, data types, vendors and risk classificationsWork with legal, data-protection, security and operational stakeholders to assess riskEstablish guidance for checking and validating AI-generated outputsProtect candidate, client, employee and commercially sensitive information Technical enablement and suppliersSupport effective use of Copilot, and the development of agents in Microsoft 365Work with technical specialists to ensure permissions, data access and Microsoft 365 environments are appropriately configuredTranslate business needs into functional requirements for technology partnersIdentify opportunities involving Copilot Studio, agents, Power Automate and related toolsSupport user testing and controlled releaseProvide recommendations on licensing, suppliers, costs and implementationMonitor licence usage, supplier delivery and potential duplication of tools Training, adoption and changeDesign and deliver training for employees at different levels of experienceRun leadership sessions, workshops, demonstrations, clinics and one-to-one coachingCreate prompt libraries, playbooks, guides, templates, videos and onboarding resourcesBuild confidence among employees who may be unfamiliar with or cautious about AIEstablish and coach a network of Copilot champions across the portfolioDevelop stakeholder, communication and change plansHelp teams redesign workflows rather than simply adding AI to processesShare success stories, practical examples and lessons across the group Measurement and handoverDefine adoption, productivity, quality and value measuresEstablish baseline measures where possibleTrack usage, training participation, time saved, process improvement, quality, cost and employee experienceReport to group leadership on roadmap progress, risks, value, and licence usageDevelop case studies demonstrating business impactCreate reusable implementation templates, playbooks, policies and training materialsDeliver a structured handover, so Ingenia is not dependent on external support after the engagement
Requirements
What we are looking forYou will combine practical AI knowledge with strong business analysis, project delivery, change management and communication skills. You must be able to develop agents and understand how Microsoft 365 Copilot, generative AI and automation can be applied safely and effectively in a business environment. You are likely to have experience in several of the following:Microsoft 365 Copilot implementation or adoptionBuilding agents in CopilotAI adoption, automation, digital transformation or workplace technologyLeading programmes from discovery and pilot through to rolloutBusiness analysis and process improvementChange management and employee adoptionDeveloping roadmaps, business cases and implementation plansEstablishing governance, responsible-AI guidance or operating modelsManaging projects, timelines, risks, dependencies and stakeholder reporting Experience in recruitment, talent solutions, professional services or a portfolio business environment, although not necessary, would be advantageous. Technical and business capabilityYou should have:Strong practical knowledge of Microsoft 365 CopilotAn understanding of Copilot across Teams, Outlook, Word, Excel and PowerPointKnowledge of prompt design, human review and generative-AI limitationsThe ability to build AI agents, set workflow automation and understand the Microsoft Power PlatformThe ability to translate business needs into functional solutionsStrong business-analysis and process-improvement skillsCommercial judgement and a clear focus on value and returnStrong project and stakeholder-management capability Knowledge of APIs, integrations, cloud services, low-code development or retrieval-augmented generation would be beneficial but is not essential.