IT Project Manager

Project ManagerLocation: Woodland Hills, CAKey Responsibilities:Own and manage the full project lifecycle—from initiation to delivery—across multiple, concurrent AI product development workstreams.Create and maintain detailed project plans, schedules, and status reports while actively managing risks, blockers, and delivery constraints.Act as the primary point of contact between Elevance Health leadership, engineering teams, UST stakeholders, and third-party partners—ensuring clear and timely communication at all levels.Lead Agile ceremonies (e.g., sprint planning, stand-ups, retrospectives) and drive disciplined execution across global, cross-functional AI teams.Translate complex technical progress into executive-ready updates, roadmaps, and summaries, aligning on scope, priorities, and KPIs.Coordinate and track deliverables across data science, LLM/NLP engineering, ML Ops, and DevOps teams to ensure timelines are met.Continuously foster collaboration, clarity, and accountability across a multi-vendor ecosystem supporting Elevance Health’s AI strategy.Required Qualifications:Bachelor’s degree in Project Management, Engineering, Computer Science, Business, or related field (Master’s preferred).7+ years of hands-on project management experience with a proven track record of managing complex software or AI/ML product deliveries.Strong communication and stakeholder engagement skills with the ability to lead cross-functional conversations across technical, operational, and executive audiences.Experience managing Agile/Scrum software teams, preferably in AI/ML or cloud-native product environments.Strong organizational skills, attention to detail, and ability to drive multiple projects under tight deadlines.Comfortable working in ambiguity and driving structure in fast-evolving, matrixed environments.Preferred Skills:PMP, PMI-ACP, or Certified Scrum Master (CSM) certification.Familiarity with healthcare data environments, including HIPAA, PHI, payer systems, or healthcare benefit structures.Working knowledge of AI/ML technologies (e.g., LLMs, NLP, retrieval-augmented generation), even at a conceptual level, to facilitate effective team coordination.Proficiency with project tracking tools such as Jira, Azure DevOps, Confluence, and Smartsheet.