Nokia—AI Project Manager

Job description

Description: 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. Requirements: - 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). Responsibilities: - 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.