AI Project Manager

Project Management (PM) comprises project management for execution of cross-functional / geographical projects and programmes from initiation to completion. Covers determination of project / programme goals and support of business objectives and strategies. Ensures projects / programmes achieve their targets, keep their schedule, and maintain estimated cost, time, and quality within planned scope. Covers management of risks that affect the delivery of project outcomes.

Internal Project Management (IPM) monitors and ensures projects for internal customers are delivered within agreed scope and are completed within budget, schedule, and quality standards. Covers implementation of process improvements to reduce development time and the assistance in the integration of complex business factors to develop and implement long-term strategic planning objectives.

• Lead the full project lifecycle for AI/ML and GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies.
• Manage cross-functional squads spanning data scientists, AI architects, platform engineers, and business SMEs.
• Track scope, schedule, cost, risk, and quality; maintain a clear delivery dashboard and escalation path.

• Partner with IT and DO process owners to identify AI use cases tied to measurable process KPIs (cycle time, cost-to-serve, automation rate, quality).

   

• Ensure alignment with Nokia's IT governance, architecture standards, security, and data-protection requirements.
• Act as the single point of accountability for sponsors, business owners, and IT leadership.
• Run steering committees, executive reviews, and demo cadences; communicate progress in business terms.
• Manage external partners, hyperscaler engagements, and SI vendors where applicable.
• Maintain the AI delivery portfolio view, dependencies, and capacity plan.
• Produce monthly/quarterly status, financials, benefits, and risk reports for leadership.

• 8+ years of project/program management experience, with at least 3 years delivering AI/ML, data, or automation projects.
• Proven track record managing initiatives within IT and/or Digital/Delivery Office environments (ITSM, DevOps, automation, employee experience, or shared services).
• Strong grasp of the AI/GenAI lifecycle
• Hands-on experience with Agile/Scrum and project tooling (Jira, Azure DevOps, MS Project, Confluence).

• PMP, PRINCE2, or SAFe certification; Scrum Master certification preferred.

   

• Experience with cloud AI platforms (Azure AI, AWS, GCP) and enterprise GenAI tooling (Copilot, OpenAI, LangChain, vector DBs).
• Familiarity with ITIL v4, ServiceNow, and modern DevOps toolchains.
• Background in large-enterprise IT transformation.
• Exposure to responsible-AI frameworks and data-privacy regulations (GDPR).