Sr Project Manager AI driven (Local to Tampa, FL only)

Job Title AI-driven systems—Project Manager

Overview

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.

Key Responsibilities

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.

Skills

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 lifecycles, 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.