Vice President, M365 Architect (Job Id: 10077593)

We are seeking a highly motivated and experienced M365 Architect (VP level) who provides senior architecture leadership for Microsoft 365, Copilot, Copilot Studio, M365 agents and related governance capabilities. The role ensures that collaboration, productivity, automation and AI-assisted work solutions are designed and adopted in a controlled, secure and business-outcome-oriented manner. You will report to the Director – Regional Enterprise Architecture (REA) and accountable for architecture direction, governance patterns, design assurance and adoption guardrails. The architect works through Service Owners, platform teams, Security, Compliance, Risk and delivery teams to ensure M365 and Copilot-enabled solutions are safe, scalable and aligned to enterprise standards. M365 enterprise architecture: Act as the senior M365 architect for Microsoft 365 services, including Microsoft 365 Copilot, Copilot Chat, Copilot Studio, Teams, SharePoint Online, Exchange Online, OneDrive, Viva, Loop, Microsoft Graph, Entra ID integrations, Purview, Defender, Intune and enterprise information protection capabilities. Target-state design and standards: Define and maintain the M365 target architecture, roadmap, reference architectures, reusable design patterns, technology standards, implementation guardrails and architecture decision records for collaboration, productivity, automation, knowledge management and AI-assisted work. Assessment and recommendation: Lead architecture assessment of current and target states, identify capability gaps, evaluate solution options and provide pragmatic recommendations aligned to enterprise architecture principles, technology risk requirements, business priorities and regulatory expectations. Copilot and agent solution architecture: Architect Microsoft 365 Copilot and Copilot Studio agent solutions, including declarative versus custom-engine approaches, orchestration, knowledge-source design, Microsoft Graph grounding, SharePoint and Dataverse knowledge sources, Work IQ/Microsoft IQ alignment, connectors, actions, tools, MCP/API integration, prompt and instruction design, access control, observability, evaluation and lifecycle management. Agentic AI adoption patterns: Establish enterprise patterns for agentic AI adoption, including autonomous and semi-autonomous workflows, human-in-the-loop approvals, tool/action permissions, fallback handling, auditability, exception handling, risk classification and production support models. Service Owner enablement: Partner with business units, Service Owners and delivery teams to shape use cases, translate business outcomes into technical requirements, assess feasibility and guide implementation teams from ideation and pilot through controlled production rollout and measurable adoption. Production readiness and control assurance: Provide architecture oversight for AI-enabled M365 solutions to ensure security, privacy, regulatory, cross-border data, data residency, identity, entitlement, retention, audit, eDiscovery and operational resilience considerations are addressed before production use. Responsible AI and Copilot governance: Define and operationalize responsible AI and Copilot governance standards using Microsoft Copilot Control System concepts, including security and governance, management controls, measurement and reporting, readiness, adoption, productivity impact and business-value tracking. Agent lifecycle governance: Govern the end-to-end agent lifecycle: intake, ownership, risk tiering, knowledge-source approval, connector approval, prompt/instruction change control, testing, release management, monitoring, periodic recertification, retirement and exception management. Security and information protection design: Design and review security controls for Copilot, agents and Power Platform solutions, including least privilege, conditional access, privileged access management, sensitivity labels, DLP, connector policies, SharePoint oversharing remediation, restricted access/content discovery, threat protection and audit logging. AI testing and evaluation: Define practical evaluation approaches for Copilot and agent solutions, including test question sets, expected-answer validation, groundedness checks, access-control testing, regression testing, prompt-injection testing, consistency checks, citation-quality review, hallucination management and ongoing production monitoring. Reusable assets and guidance: Create solution blueprints, control checklists, …