AI Project Manager

Description

Role purpose
Plan, lead, and control AI projects across the full project management lifecycle while ensuring alignment with organizational PMO governance, contractual commitments, and CPMAI™ analytics lifecycle phases to achieve measurable business outcomes.

Key responsibilities

Initiation & alignment
Develop and maintain the project charter, ensuring alignment with business objectives, success criteria, and value realization goals. Identify and engage key stakeholders; define stakeholder expectations and communication needs.

Planning
Establish and baseline the integrated project management plan, including scope, schedule, cost, quality, resource, risk, communication, and procurement components. Define work breakdown structure (WBS), milestones, delivery dependencies, and acceptance criteria. Plan resource allocation in coordination with technical leads and functional managers. Ensure alignment between delivery plans, payment milestones, and contractual terms.

Execution
Direct and manage project work in accordance with the approved project plan and governance framework. Coordinate cross-functional teams (AI, data, platform, infrastructure) to support CPMAI™ phases such as business understanding, data understanding, modeling, deployment, and monitoring. Serve as the primary point of integration between PMO, technical teams, vendors, and clients.

Monitoring & controlling
Monitor project performance against baselined scope, schedule, and cost using defined KPIs. Identify, assess, and manage risks, issues, assumptions, and dependencies (RAID) proactively. Control scope through formal change control processes and assess impact on time, cost, and value. Produce accurate and timely project status reports and forecasts for stakeholders.

Closure & value realization
Ensure formal project closure, including deliverable acceptance, documentation handover, and lessons learned. Support value realization tracking and post-delivery performance monitoring where applicable. Ensure all contractual and governance artifacts (e.g., CoCs, invoices, approvals) are completed and archived.

Requirements

Qualifications & requirements
Bachelor’s degree in IT, computer science, engineering, or a related field. Eight plus years of experience in technology project management, including delivery of complex, data-driven or AI-enabled solutions. PMP®, PRINCE2®, or equivalent PMI-aligned certification is required. PMI-CPMAI™ certification is a strong advantage, with demonstrated understanding of analytics and AI project lifecycles. Strong capability in stakeholder engagement, governance enforcement, and cross-functional coordination. Proven ability to manage projects in high-visibility, regulated, or enterprise environments.