Senior IT Project Manager, Enterprise AI Delivery

HumanaTampa, FL
$104,000 - $143,000Hybrid

About The Position

The Senior IT Project Manager oversees AI system projects and/or programs of a complex nature. Work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. You will bring project management discipline to Enterprise AI projects, coordinating across engineering, product, data, and partners to move evolving AI work into structured, deliverable execution. The Senior IT Project Manager assembles and leads the project team, identifies appropriate resources needed, and develops schedules to ensure completion of AI delivery projects. Often manages stakeholder partnerships and mitigates risks. Familiar with the system scope and project objectives, and the role and function of each team member, in order to effectively coordinate the activities of the team. When managing programs, oversees the interdependencies and integration of interrelated AI projects, and sets strategies and leads program execution to deliver longer-term business value. Applies working knowledge of AI/ML delivery concepts, including model lifecycle, MLOps fundamentals, GenAI and agentic workflows, and responsible AI practices, alongside Software Development Life Cycle (SDLC) and Information Technology Infrastructure Library (ITIL) frameworks used to manage risks and issues unique to technology projects. Partners effectively with product management and engineering stakeholders to translate technical direction into structured delivery plans. Begins to influence the department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Requirements

  • Bachelor's degree in Business, Information Technology, or a related field
  • 5 or more years of technical project management experience
  • 5 or more years experience in technical product selection, technical design, and practical implementation of IT solutions
  • Working knowledge of AI/ML delivery concepts, including model lifecycle, MLOps fundamentals, GenAI/agentic workflows, and responsible AI practices
  • Must be passionate about contributing to an organization focused on continuously improving consumer experiences
  • Experience delivering AI or GenAI projects
  • Translate between data science, engineering, product, and business partners
  • Six Sigma and/or Project Management Institute (PMI) certification

Nice To Haves

  • Master's Degree in Business Administration
  • Hands-on fluency using AI tools to accelerate delivery, including generative AI assistants, agentic workflows, and workflow automation
  • Familiarity with responsible AI and model risk concepts
  • Familiarity with modern data platforms (Databricks, Snowflake, cloud-native data stacks)
  • Experience in the health solutions industry

Responsibilities

  • Oversees AI system projects and/or programs of a complex nature.
  • Brings project management discipline to Enterprise AI projects, coordinating across engineering, product, data, and partners to move evolving AI work into structured, deliverable execution.
  • Assembles and leads the project team, identifies appropriate resources needed, and develops schedules to ensure completion of AI delivery projects.
  • Manages stakeholder partnerships and mitigates risks.
  • Oversees the interdependencies and integration of interrelated AI projects, and sets strategies and leads program execution to deliver longer-term business value.
  • Applies working knowledge of AI/ML delivery concepts, including model lifecycle, MLOps fundamentals, GenAI and agentic workflows, and responsible AI practices, alongside Software Development Life Cycle (SDLC) and Information Technology Infrastructure Library (ITIL) frameworks.
  • Partners effectively with product management and engineering stakeholders to translate technical direction into structured delivery plans.
  • Influences the department's strategy.
  • Makes decisions on moderately complex to complex issues regarding technical approach for project components.
  • Exercises considerable latitude in determining objectives and approaches to assignments.

Benefits

  • medical
  • dental
  • vision benefits
  • 401(k) retirement savings plan
  • time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
  • short-term and long-term disability
  • life insurance
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