IT Project Manager – AI/ML & Innovation

Job Description Summary

Job Description

Role & Key Responsibilities:

• Plan & deliver AI/ML projects from Proof of Concept (PoC) to Minimum Viable Product (MVP) using Agile (Scrum/Kanban) with NPI/Stage‑Gate governance; maintain realistic roadmaps and replans when risks land.
• Translate business needs into a clear Statement of Work and deliverables for external providers; align on feasible architecture/approach with our internal technical leads.
• Challenge vendor schedules and assumptions credibly—based on your AI/ML project exposure—so PoCs/MVPs are right‑sized and timely.
• Run Agile cadence (backlog health, sprint planning/reviews/retros, daily stand‑ups) and keep sprint outcomes aligned to NPI milestones.
• Own value realization & KPIs: track on‑time delivery, adoption vs. forecast, savings/value, and escalate issues early; maintain a risk/dependency register.
• Stakeholder comms & reporting: act as the coordination hub between technical teams, internal customers (sales/engineering/marketing), and leadership; publish clear bowler/KPI updates.
• Continuous improvement: promote Lean habits so we automate only what creates value, capturing lessons learned between NPI cycles.

Essential Requirements:

• Proven project management experience in software/digital/AI contexts, with hands‑on Agile (Scrum/Kanban) and familiarity with NPI/Stage‑Gate delivery.
• AI/ML exposure is required (you don’t need to be a data scientist, but you must understand the lifecycle: data readiness → model build → integration → deployment—and be able to engage with providers in a meaningful way).
• Demonstrated ability to own value & KPIs, not just schedules (adoption, savings, business impact).
• Strong stakeholder influence and clear, structured communication with technical and non‑technical audiences.
• Experience using JIRA and Azure DevOps (or equivalent software).
• Fluent English oral & written.

Nice-to-have qualifications:

• Background in industrial environments (e.g., automotive, aerospace, large‑scale manufacturing) where Stage‑Gate and cross‑functional orchestration are common.
• Systems‑engineering/DevOps/data familiarity—enough to sanity‑check architectures and estimates.
• French language.
• Experience working with internal tech groups (e.g., research centers) plus external providers in a multi‑vendor model.

What We Offer:

• A high‑impact role in a central AI/ML & Innovation team that supports multiple businesses in Electrification—real enterprise‑wide reach.
• The chance to change how GE Vernova works with AI—moving from “AI as a tool” to AI as a partner that lets our people focus on customer value.
• Remote working model across selected EMEA countries; limited but purposeful travel for program milestones and deployments.
• A delivery culture that blends Agile ways of working with the discipline of NPI to ship value quickly and safely.

Additional Information