Top Artificial Intelligence Project Management Jobs

The Project Engineer executes technical tasks for customer projects, ensuring deliverables meet standards and managing project timelines and documentation.

The Client Experience Lead will oversee Revenue Cycle operations transformation, ensuring clarity in workflows and alignment among decision-makers while driving the successful delivery of technology-enabled solutions.

The Project Manager II oversees technology project plans, ensuring timely and budget-friendly delivery while managing resources and communication among stakeholders.

The Quality Assurance Manager oversees compliance programs in an ICE detention facility, ensuring adherence to standards and improving safety protocols. Responsibilities include conducting audits, training staff, and collaborating with various departments to promote accountability and continuous improvement.

Manage Paintshop project execution from PO through closeout, leading cross-functional teams, controlling schedule, resources, procurement and finances, protecting against project risk, ensuring customer satisfaction and quality. Forecast performance, manage changes, and travel extensively (up to 75%).

The Program Management Lead will oversee B2B customer programs, manage collaborations across teams, execute initiatives, and ensure alignment with operational goals.

Manage project implementation for Patient Care Solutions, ensuring customer satisfaction, tracking project progress, and coordinating resources while communicating with stakeholders.

The role involves leading collaboration platform transitions, managing user impacts, and executing cutover strategies in complex environments.

The role focuses on managing the delivery of data center projects, ensuring on-time completion, and coordinating with stakeholders and vendors. It involves overseeing project milestones, budgets, and risk management, along with maintaining relationships with commercial partners like Oracle.

The Implementation Project Manager will oversee the full lifecycle of AI solution deployments in healthcare settings, managing client relationships and project expectations.