M365 Architect

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).