AI Project Manager Hybrid in Tampa, FL

Client is advancing a new generation of AI-driven systems—secure, adaptive platforms that learn continuously to enhance decision-making and client outcomes. As a Lead Project Manager, you'll oversee high-impact initiatives that bring these agentic AI capabilities to life across the firm. The work is complex, fast-paced, and deeply rewarding—shaping the future of how intelligence flows and decisions are made enterprise-wide.

You'll partner with engineering, data science, and business leaders to drive delivery of AI platforms, frameworks, and products that transform how advisors and associates work. This is a leadership role for someone who thrives on solving difficult problems, managing ambiguity, and turning breakthrough ideas into scalable, production-grade solutions.

• Program Leadership:
  Manage multiple enterprise-scale AI initiatives from concept through implementation—defining strategy, scope, and success metrics that align with firm objectives.
• Execution Excellence:
  Build and maintain detailed project plans, budgets, and work breakdown structures that balance speed, quality, and compliance.
• Stakeholder Alignment:
  Partner across technology, data governance, and business units to ensure clear communication, accountability, and timely decision-making.
• Risk and Change Management:
  Anticipate and mitigate delivery risks, manage dependencies, and ensure traceable governance for AI and automation initiatives.
• AI Integration:
  Collaborate with technical leads to translate technical milestones into actionable project deliverables.
• Continuous Improvement:
  Drive best practices in agile delivery, metrics, and post-implementation evaluation to ensure ongoing learning and refinement.

• Demonstrated success leading large, complex technology projects—preferably involving AI, analytics, or intelligent automation.
• Experience working through ambiguity to structure and manage work with accountability.
• Expertise in project and portfolio management including planning, forecasting, risk management, and stakeholder reporting.
• Strong understanding of software development life cycles, agile delivery, and enterprise technology environments.
• Excellent communication, negotiation, and decision-making skills; capable of bridging business and technical domains.
• PMP or equivalent certification highly preferred.

• Education:
  
  5+ years of progressive experience in project or program management, with exposure to AI, data, or technology-driven transformation initiatives.