AI Project Manager​/Business Analyst; Copilot

W2 ONLY, NO C2C

100% REMOTE, EST/CST Time Zones preferred

MUST HAVE BLENDED PM/BA Experience

MUST HAVE project experience with Microsoft Copilot and AI implementations and governance

• Experience supporting Microsoft 365 Copilot, Copilot Studio, Power Platform, Azure AI, or related Microsoft technologies.
• Familiarity with AI governance, Responsible AI frameworks, risk management, and technology adoption practices.
• Experience supporting enterprise technology transformation initiatives.
• Knowledge of business process improvement methodologies.
• Experience working with executive stakeholders and presenting recommendations to leadership teams.
• PMP, PMI-ACP, CBAP, PMI-PBA, Scrum Master, or related certifications preferred.

We are seeking an experienced Senior Project Manager / Business Analyst to lead and coordinate strategic Microsoft AI and Copilot initiatives. This individual will serve as the bridge between business stakeholders, technical teams, governance functions, and executive leadership, driving projects from concept through implementation while ensuring alignment with organizational objectives, Responsible AI practices, and Microsoft platform capabilities.

The ideal candidate combines strong project management discipline with business analysis expertise and possesses the ability to evaluate technical solutions, challenge assumptions, identify risks, and translate complex technical concepts into actionable business outcomes. This person should be proactive, highly organized, and capable of navigating fast-changing Microsoft AI technologies, including Microsoft 365 Copilot, Copilot Studio, and related governance frameworks.

• Lead multiple concurrent small-to-medium sized technical initiatives supporting Microsoft AI, Copilot Studio, and Microsoft 365 Copilot programs.
• Develop and manage project plans, timelines, milestones, risks, issues, dependencies, budgets, and stakeholder communications.
• Coordinate cross-functional teams including business stakeholders, architects, governance teams, security teams, change management resources, trainers, and external partners.
• Drive project execution from requirements definition through deployment and operationalization.
• Facilitate project status meetings, working sessions, decision reviews, and executive updates.
• Escalate risks, roadblocks, and critical decisions in a timely and structured manner.
• Ensure accountability for deliverables, action items, and project outcomes.

• Manage implementation work streams supporting Copilot Studio architecture, governance, intake processes, and operational readiness.
• Coordinate the rollout of Microsoft AI capabilities while balancing business objectives, security requirements, governance controls, and adoption goals.
• Drive Responsible AI (RAI) and governance-related initiatives from planning through implementation.
• Support AI use case intake, evaluation, prioritization, and governance review processes.
• Coordinate stakeholders across business, security, legal, compliance, and technology teams to ensure alignment and execution.

• Gather, document, analyze, and validate business and technical requirements.
• Translate stakeholder needs into clear user stories, requirements, process flows, and implementation recommendations.
• Facilitate workshops and discovery sessions to identify objectives, current-state processes, future-state requirements, and solution impacts.
• Review technical and business deliverables to identify gaps, risks, dependencies, quality concerns, and implementation challenges.
• Develop executive summaries, recommendations, decision papers, and stakeholder communications.
• Support process improvement initiatives and identify opportunities for automation, simplification, and efficiency gains.

• Review project documentation, solution designs, requirements, governance artifacts, and operating procedures for completeness and quality.
• Ensure project outputs align with established governance frameworks, Responsible AI principles, and organizational standards.
• Help establish repeatable processes, operating models, and governance mechanisms for Microsoft AI initiatives.
• Track decisions, approvals, risks, and compliance activities throughout project life cycles.

• Stay current on Microsoft AI capabilities, release announcements, roadmap updates, and emerging…