IT Project Management Lead, Enterprise AI Delivery
Humana
- Location
- Louisville, KY
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 130 approvals (FY2023)
- Posted
- 21h ago
Skills
About this role
Become a part of our caring community The IT Project Management Lead, Enterprise AI Delivery, leads complex, AI programs of enterprise significance. This role is one of Humana's top program delivery leaders, accountable for driving execution across enterprise-scale initiatives primarily through influence, structure, and alignment. You will operate as a senior delivery partner across Enterprise AI strategy, governance, and execution, working on problems of substantial scope where ambiguity, executive visibility, and cross-organizational complexity are the norm. The IT Project Management Lead assembles and leads delivery teams across Enterprise AI programs, identifies the right resources and partners, and drives execution schedules that align to sponsor commitments and enterprise priorities. You will manage executive stakeholder partnerships, navigates ambiguity, and drives structure into complex, evolving initiatives. This Lead brings a delivery posture and can step into complex environments, quickly diagnosing gaps, establishing operating cadence, and driving alignment across data, engineering, product, and business stakeholders. Typical programs span multiple VP organizations, integrate data, engineering, product, and business stakeholders, and carry enterprise-level visibility with executive sponsorship at the VP and SVP level. When managing programs, the Lead oversees interdependencies and integration across interrelated AI workstreams, sets delivery strategy, and leads execution to unlock longer-term business value. Apply working knowledge of AI/ML program delivery, model lifecycle awareness, MLOps concepts, agentic workflows, and responsible AI/governance frameworks alongside traditional SDLC and ITIL practices. Partners with executives to shape delivery strategy, risk posture, and program design on matters of enterprise significance, translating leadership intent into structured execution. Exercises independent judgment on complex issues, operates, and determines the best course of action across variable, high-ambiguity conditions. Use your skills to make an impact Required Qualifications Bachelor's degree in Business, Information Technology, Data Science, or a related field 8 or more years of technical program or delivery experience 3 or more years leading cross-functional AI, data, or analytics initiatives 5 or more years experience in technical product selection, technical design, and practical implementation of IT solutions 1 or more years of AI/ML program delivery, including model lifecycle, MLOps concepts, GenAI/agentic workflows, AI governance and responsible AI practices Proven ability to translate between data science, engineering, product, and business stakeholders Experience managing executive stakeholder relationships and driving alignment across VP+ audiences Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Master's Degree in Business Administration, Data Science, or related field Hands-on fluency using AI tools to accelerate delivery, including generative AI assistants, agentic workflows, and workflow automation Familiarity with modern data platforms (Databricks, Snowflake, cloud-native data stacks) Project Management Institute (PMI), SAFe, or equivalent certification Experience in the health solutions industry Additional Information This position follows a Hybrid work style (2-3 days a week in office). The candidate must live close to one of our designated IT locations: Louisville, KY; Tampa, FL; Fort Lauderdale, FL; Dallas/Frisco, TX; Boston, MA; New York City, NY; Washington, D.C; Atlanta, GA; Nashville, TN; Chicago, IL, or Charlotte, NC. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual