#1445330B6F07E8D4EE546CC9EDE71A5E-04d560
maps 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
Relocation Assistance Provided: No
#LI-Remote - This is a remote position