IT Project Manager-ITPM (AI Projects and Programs)

Position Summary

Only candidates who are the local Fort Mill, SC, Charlotte, NC area will be considered.  Relocation is not applicable.

As the IT Project Manager - AI Projects and Programs at Pike Corporation, you will lead the planning, delivery, and governance of AI-enabled initiatives and strategic technology programs. You will manage cross-functional projects that leverage data, automation, machine learning, and generative AI capabilities to improve business processes and outcomes. The ideal candidate excels at coordinating technical and business teams, managing risk and change, aligning solutions to enterprise architecture and security requirements, and driving successful adoption of AI solutions from concept through implementation and scale.

Essential Functions:

AI Program Delivery and Integration:·

• Lead the delivery of AI and data-driven projects, ensuring successful integration with existing enterprise systems, processes, and governance frameworks.
• Collaborate with stakeholders to define business problems, gather requirements, develop use cases, and ensure AI solutions deliver measurable business value.
• Coordinate with internal technology teams, data teams, and third-party vendors to support solution design, model deployment, platform readiness, and timely delivery of AI capabilities.
• Understand and manage AI projects spend covering resource cost, token spend, license usage etc.
• Make recommendations on capitalizable tasks and efforts

Project Planning, Governance, and Value Realization:·

• Develop comprehensive project and program plans, including scope, objectives, milestones, dependencies, resource needs, and implementation roadmaps for AI initiatives.
• Manage project budgets, vendor spend, and resource plans while tracking outcomes, adoption, and return on investment for AI programs.
• Define program success metrics, governance checkpoints, and delivery standards to ensure AI solutions are scalable, secure, and aligned with business and compliance requirements.

Project Delivery, Tooling, and Cross-Functional Collaboration:

• Use project delivery tools such as Jira and related platforms to manage backlogs, workflows, dependencies, reporting, and team collaboration across AI and analytics initiatives.
• Support delivery governance, sprint planning, status reporting, and portfolio visibility while maintaining alignment to PMO standards, SDLC practices, and responsible AI controls.
• Partner with data science, engineering, cybersecurity, infrastructure, and business teams to coordinate delivery, remove blockers, and drive consistent execution across multiple AI workstreams.

Risk Management:·

• Identify, assess, and mitigate project and program risks, including data quality, model performance, security, privacy, compliance, vendor, and adoption risks.
• Develop contingency and escalation plans to address delivery challenges, model or data issues, and operational readiness concerns throughout the AI solution lifecycle.

Quality Assurance:

• Ensure project deliverables meet defined quality standards, business requirements, and acceptance criteria, including readiness for pilot, deployment, and operational support.
• Coordinate reviews, testing, and governance checkpoints to validate solution performance, implementation readiness, and alignment with enterprise standards.

Change Management:

• Develop and implement change management strategies to support the rollout, adoption, and effective use of AI-enabled tools, workflows, and decision-support capabilities.
• Provide stakeholder training, communications, and support plans to promote responsible usage, user adoption, and sustainable business outcomes.

Stakeholder Communication

• Act as a primary point of contact for business, technical, and executive stakeholders across AI projects and programs, ensuring clear and transparent communication.
• Develop and execute communication and reporting plans that keep stakeholders informed on roadmap progress, key decisions, risks, dependencies, and re