M365 Architect, Contract
Overview of Role
We are seeking an experienced M365 Architect for an 11-week part-time contract engagement (20 hours/week) starting on August 31, 2026.
In this onshore, advisory-focused role, you will guide our client through a critical Microsoft 365 consolidation project—advising on the migration of multiple M365 tenants into a single, unified enterprise structure and supporting the enterprise rollout of Microsoft Copilot. You will report directly to the Engagement Lead while working closely with key technical stakeholders to deliver high-impact digital workplace transformation.
Engagement Type: Contract (Part-time, 20 hrs/week)
Duration: 11 Weeks
Target Start Date: August 31, 2026
Time Zone Alignment: Central Time (CT)
Responsibilities:
Provide expert-level advisory for consolidating multiple Microsoft 365 tenants into a single enterprise tenant following M&A activities.
Guide strategic deployment and integration of Microsoft Copilot across the enterprise workforce.
Serve as the principal subject matter expert for key M365 services, including Exchange, OneDrive, SharePoint, and Power Platform.
Partner with client leadership and internal teams to deliver high-touch consulting, architecture recommendations, and migration strategy.
Identify risk factors, technical dependencies, and best practices involved in enterprise digital workplace transformations.
Qualifications:
Must have:
M&A Migration Experience: Proven track record in scoping, planning, and implementing M365 tenant-to-tenant migrations driven by mergers and acquisitions.
M365 Technical Mastery: Deep expert-level knowledge across the Microsoft 365 ecosystem, specifically Exchange, OneDrive, SharePoint, and Power Platform.
AI Tool Deployment: Direct, hands-on experience driving enterprise rollouts and adoption strategies for Microsoft Copilot.
Consulting & Leadership: Exceptional client-facing skills, strategic advisory capabilities, and experience acting as a trusted consultant to senior leadership.
Nice to Have:
Industry background or prior engagement experience within Healthcare and Life Sciences (HLS).
Familiarity or exposure to additional generative AI capabilities and tools (e.g., Claude, Gemini).