Senior Technical Project Manager - Healthcare Data, Cloud & AI

Technical Project ManagerSeeking a highly experienced Technical Project Manager with 10+ years of experience managing complex technology, data, analytics, and cloud initiatives in large enterprise environments. This role supports a Data Engineering Project within an AI Adoption Program, requiring strong project leadership, cross-functional coordination, and stakeholder management capabilities. The successful candidate will be responsible for planning, coordinating, monitoring, and delivering moderate to highly complex business and technology solutions while ensuring alignment between business, engineering, data, and AI stakeholders. The individual will independently perform a variety of complex tasks, exercise sound judgment, and demonstrate a high degree of creativity, initiative, and leadership.Responsibilities:Lead the planning, coordination, execution, and delivery of complex data engineering, analytics, and AI-related projects.Gather and analyze business requirements and translate them into project objectives, deliverables, and implementation plans.Develop project charters, schedules, work plans, timelines, resource plans, budgets, and status reports.Manage project scope, risks, issues, dependencies, and change requests throughout the project lifecycle.Coordinate activities across business stakeholders, data engineers, architects, developers, analysts, and AI program teams.Monitor project progress, milestones, deliverables, and performance metrics to ensure successful project outcomes.Facilitate communication between technical teams and executive leadership, translating complex technical concepts into business-friendly language.Support cloud, data platform, data warehouse, data architecture, and analytics initiatives.Collaborate with technical leadership to align project activities with enterprise architecture and strategic objectives.Track project financials, including budgeting, forecasting, resource utilization, and financial status reporting.Ensure adherence to project management methodologies, governance standards, and organizational policies.Maintain comprehensive project documentation, including plans, schedules, meeting notes, risks, issues, decisions, and lessons learned.Support AI and advanced analytics adoption efforts by coordinating stakeholders, deliverables, and program activities.Work independently with minimal supervision while providing proactive leadership and guidance to project teams.Coordinate vendor activities and manage external partner relationships as needed.Support implementation activities and ensure successful transition to operations.