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. 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. 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. 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. Excellent stakeholder management and written/verbal communication in English. Nice to Have: 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).