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RH
Robert Half
Project Manager
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Based on Massachusetts data
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What they do
A Project Manager manages work on projects with a defined scope, start and completion point. Leads project teams, manages project budgets and schedules; manages contractors and communications with stakeholders. May manage projects in construction, information technology or in other industries.
$115,625 / year median in Massachusetts
+3% projected growth
Job Description
We are seeking an experienced Technical Project Manager - AI Integration to lead the planning, execution, and delivery of AI-powered initiatives across the organization. This role bridges business objectives, engineering execution, and AI strategy, ensuring successful integration of artificial intelligence solutions into existing products, workflows, and business processes.
The ideal candidate is open to a HYBRID schedule and has a strong technical background, exceptional project management skills, and hands-on experience managing AI/ML initiatives involving large language models (LLMs), automation, data integration, and cloud-based technologies.
Key ResponsibilitiesLead end-to-end delivery of AI integration projects from discovery through deployment, post-launch support, and continuous optimization.
Develop and manage project plans, schedules, budgets, resource allocations, and risk mitigation strategies to ensure successful project execution.
Partner with business leaders, product managers, engineering teams, data scientists, and external vendors to define AI use cases, requirements, and implementation roadmaps.
Coordinate the integration of AI technologies—including large language models (LLMs), machine learning solutions, intelligent automation, and AI-powered applications—into existing business processes and enterprise systems.
Translate business objectives into actionable technical project plans and facilitate communication between technical and non-technical stakeholders.
Manage multiple concurrent projects using Agile, Scrum, or hybrid project management methodologies while tracking milestones, dependencies, deliverables, and overall project health.
Oversee testing, user acceptance, deployment planning, production releases, and post-implementation support to ensure successful solution adoption.
Identify, assess, and mitigate project risks, issues, and dependencies, escalating concerns and driving timely resolution when necessary.
Ensure AI initiatives comply with organizational standards for security, privacy, governance, regulatory requirements, and responsible AI practices.
Prepare and present project status updates, executive dashboards, and performance metrics to senior leadership and key stakeholders.
Facilitate project planning sessions, workshops, stakeholder meetings, and cross-functional collaboration to maintain alignment and drive decision-making.
Support technical architecture discussions and integration planning by collaborating with engineering teams and solution architects.
Monitor solution performance, user adoption, and business outcomes, identifying opportunities for optimization and continuous improvement.
Establish and promote project management best practices, governance standards, and delivery processes for AI initiatives across the organization.
Stay current on emerging AI technologies, industry trends, and implementation best practices to identify opportunities for innovation and increased business value.
The ideal candidate is open to a HYBRID schedule and has a strong technical background, exceptional project management skills, and hands-on experience managing AI/ML initiatives involving large language models (LLMs), automation, data integration, and cloud-based technologies.
Key ResponsibilitiesLead end-to-end delivery of AI integration projects from discovery through deployment, post-launch support, and continuous optimization.
Develop and manage project plans, schedules, budgets, resource allocations, and risk mitigation strategies to ensure successful project execution.
Partner with business leaders, product managers, engineering teams, data scientists, and external vendors to define AI use cases, requirements, and implementation roadmaps.
Coordinate the integration of AI technologies—including large language models (LLMs), machine learning solutions, intelligent automation, and AI-powered applications—into existing business processes and enterprise systems.
Translate business objectives into actionable technical project plans and facilitate communication between technical and non-technical stakeholders.
Manage multiple concurrent projects using Agile, Scrum, or hybrid project management methodologies while tracking milestones, dependencies, deliverables, and overall project health.
Oversee testing, user acceptance, deployment planning, production releases, and post-implementation support to ensure successful solution adoption.
Identify, assess, and mitigate project risks, issues, and dependencies, escalating concerns and driving timely resolution when necessary.
Ensure AI initiatives comply with organizational standards for security, privacy, governance, regulatory requirements, and responsible AI practices.
Prepare and present project status updates, executive dashboards, and performance metrics to senior leadership and key stakeholders.
Facilitate project planning sessions, workshops, stakeholder meetings, and cross-functional collaboration to maintain alignment and drive decision-making.
Support technical architecture discussions and integration planning by collaborating with engineering teams and solution architects.
Monitor solution performance, user adoption, and business outcomes, identifying opportunities for optimization and continuous improvement.
Establish and promote project management best practices, governance standards, and delivery processes for AI initiatives across the organization.
Stay current on emerging AI technologies, industry trends, and implementation best practices to identify opportunities for innovation and increased business value.