Top Artificial Intelligence Project Management Jobs

The Business Analyst Manager will lead a team, evaluate processes, ensure compliance, and align technology with strategic objectives. Responsibilities include managing stakeholder expectations and fostering team growth.

The Enterprise Applications Project Manager will manage Information System projects, focusing on Salesforce and NetSuite, aligning technical solutions with business goals while leading projects from initiation to completion.

The Chief of Staff will support the Head of Public Engagement by managing editorial calendars, performance metrics, workflows, and planning meetings to increase operational efficiency.

Manage Anthropic's Copyright Operations program, ensuring compliance processes and workflows are established and optimized, while collaborating cross-functionally and driving improvements.

The role involves leading ServiceNow implementation projects, managing client expectations, project governance, and ensuring timely delivery under fixed-price contracts. Responsibilities also include stakeholder communication and overseeing testing and training processes.

Lead customer schedule alignment by integrating complex schedules into Doxel's workflow. Ensure quality standards, provide actionable insights, and engage with executive teams. Frequent travel is expected for project integration.

Lead complex customer implementations, manage kickoff, configuration, migration, testing, and ensure customer communication throughout the lifecycle.

The Strategy & Operations Analyst will analyze and optimize client admissions and care delivery processes, partnering with various teams to enhance operational efficiency and patient outcomes.

Lead and optimize client onboarding for a healthcare technology company, ensuring timely and effective implementation. Collaborate with executives and teams to drive results, develop frameworks, and improve processes.

The Senior Project Manager will lead software-related projects, collaborating with engineering and operations teams to enhance data delivery and efficiency, while adapting to growing business needs.