Top Artificial Intelligence Project Management Jobs

The Innovation Program Manager drives the Innovation Acceleration Program, managing cross-functional teams and improving processes in a healthcare IT environment.

The Launch Director will manage end-to-end project execution for commercial launches, ensuring alignment with goals and client success. Responsibilities include team leadership, risk management, and driving operational excellence across various sectors.

The Sr. Manager, Alliances leads alliance management, coordinates research collaborations, manages projects, and drives workflow improvements while ensuring effective governance and communications among stakeholders.

Manage social impact programs by overseeing timelines, deliverables, and logistics, ensuring clear communication and successful execution while tracking performance and reporting outcomes.

The Associate Proposal Manager will develop complex federal proposals, manage compliance and submissions, and collaborate with teams for strategic proposal execution.

The Project Manager will oversee planning, coordination, and delivery across product and engineering, managing the backlog, running Agile ceremonies, and maintaining communication between stakeholders.

The Project Manager will oversee projects, manage cross-functional teams, develop project plans, and ensure alignment and delivery on government requirements.

The Senior Operational Excellence Manager will analyze data, identify process inefficiencies, collaborate cross-functionally, drive improvements, and implement standard procedures to enhance efficiency and customer satisfaction.

The Project Manager will oversee project delivery, manage client relationships, ensure financial control, and drive process improvements in a tech-focused environment.

Assist in preparing project plans and coordinating activities from planning to implementation, tracking costs and schedules, and interfacing with clients and suppliers to ensure project goals are met.

Manage complex projects using GPS&T solutions, collaborate with various teams, and automate tasks for efficiency while ensuring data integrity.

Manage project plans and deliverables, coordinate resources and budget, contribute to design teams, and solve project obstacles.