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XY

Microsoft Copilot Specialist

Xypher
Posted 6 hours ago
🇬🇧United Kingdom🏠Remote📁Engineering & Development
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XypherAI is seeking an experienced and driven Microsoft Copilot specialist to join our AI Enablement function. This is a senior, group-wide role responsible for designing, deploying, and governing Microsoft Copilot, Copilot Studio, and Power Platform capabilities across our portfolio of cybersecurity and technology businesses — including DigitalXRAID, CyberCrowd, Aristi, and IntaForensics. This role offers the opportunity to shape how AI is adopted at scale across a security-first organisation. We are looking for a hands-on professional who combines deep Microsoft 365 AI expertise with the judgement to operate within a robust governance framework — someone equally comfortable building agents in Copilot Studio, configuring Purview sensitivity labels, and delivering training to staff members to ensure that copilot is adopted safely and efficiently. As a senior member of our AI Enablement function, you will take responsibility for the end-to-end lifecycle of Microsoft Copilot and related AI capabilities across the group. You'll own the rollout strategy, build custom agents in Copilot Studio, integrate with our Azure AI Foundry environment to ensure every deployment meets our security and governance standards. You will also act as the principal Microsoft AI advisor to our Business Unit representative programme, supporting BU representatives in evaluating ideas, distinguishing high-value opportunities from speculative ones, and steering the group away from ad-hoc adoption towards a coordinated, governed approach. Key Responsibilities Lead the design, deployment, and ongoing governance of Microsoft 365 Copilot across the group's tenants and business units Build, deploy, and maintain custom agents and automations using Copilot Studio, Power Automate, and the wider Power Platform Implement and maintain governance controls including Purview sensitivity labels, DLP policies, SharePoint permissions hygiene, and Entra ID conditional access tied to AI workloads Partner with the BU representative network to evaluate AI ideas, define requirements, and translate business problems into secure, governed AI solutions Produce clear documentation, runbooks, and adoption materials for both technical teams and non-technical end users Deliver structured training and enablement sessions to drive sustained adoption, prompt-engineering competency, and responsible use across the group Maintain awareness of the Microsoft AI roadmap and provide informed recommendations to the AI governance body Contribute to the wider AI Enablement strategy, including alignment with ISO 42001, internal AI policy, and the group's discovery-led approach Mentor and upskill colleagues across the group on Microsoft AI capabilities, governance principles, and prompt practices Main Requirements for the Role Demonstrable experience deploying Microsoft 365 Copilot in a mid-to-large enterprise environment, including readiness assessment, permissions remediation, and adoption planning Hands-on experience building agents in Copilot Studio and automations across the Power Platform (Power Automate, PowerApps) Strong working knowledge of Microsoft Purview, sensitivity labels, DLP, and the M365 compliance estate Working knowledge of Entra ID, conditional access, and identity-based controls as they apply to AI workloads Understanding of the GDPR, UK Data Boundary, and DPIA implications of generative AI deployments Excellent stakeholder management and the judgement to push back on requests that don't meet security or governance standards Strong written and verbal communication, with the ability to translate technical capabilities into clear business outcomes for non-technical audiences Ability to manage multiple workstreams across business units and operate independently with minimal supervision Right to work in the UK Experiences and Skills That Would Also Be Beneficial Microsoft certifications such as AB-900 and AB-730 Exposure to Azure AI Foundry, Azure OpenAI, and broader Azure AI services Experience working in security-sensitive or regulated environments (cybersecurity, financial services, legal, defence, healthcare) Familiarity with ISO 42001, NIST AI RMF, or other AI governance frameworks Scripting capability (PowerShell, Python) for tenant administration and automation Experience designing and delivering structured training or change management programmes for AI tooling SC clearance or willingness to undergo vetting

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