AI Project Manager

Crowe is a leading public accounting, consulting, and technology firm in the United States, dedicated to delivering innovative solutions through AI and technology. As an AI Project Manager, you will lead complex client engagements, ensuring delivery excellence and financial performance while managing a team and driving continuous improvement within the AI Transformation practice.

Responsibilities:

• Lead full project lifecycles from initiation through closeout, with accountability for scope, schedule, budget, quality, and outcomes
• Own project financials, including forecasting, budget tracking, profitability management, and escalation of risks as needed
• Partner with sales teams on project scoping, sizing, and proposal development to support new opportunities
• Manage and develop a team of 4–5 direct reports through formal performance management, coaching, and career development
• Serve as the primary client contact, independently managing stakeholder expectations, communications, and escalations
• Proactively identify and manage project risks and issues, ensuring timely resolution
• Drive practice improvement initiatives such as methodology enhancements, tool adoption, and process optimization
• Ensure compliance with firm standards, quality controls, and client requirements across all engagements

Requirements:

• 7+ years of experience demonstrating progressive project leadership and team mentoring
• PMP certification (active and maintained through PDUs)
• Proven experience leading end-to-end projects with full accountability for budget, timeline, scope, and deliverable quality
• Strong background in client relationship management, including navigating complex stakeholder environments
• Experience managing project financials, including forecasting, tracking, and optimization
• Demonstrated people management experience, including performance reviews, coaching, and development planning
• Track record of successfully delivering projects on time and within budget
• Experience supporting business development efforts, including proposal development and opportunity identification
• Background leading or contributing to practice or methodology improvement initiatives
• Experience working in AI, analytics, technology transformation, or related consulting environments