Sustainability AI Leader

GE Vernova

Stafford, United Kingdom

Full Time

Posted August 11, 2026

€72k - €72k

Power Generation

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed October 4, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Employer-provided pay

Job Description

The Sustainability AI Leader drives the end-to-end digitalization of all sustainability processes at Electrification, deploying artificial intelligence, advanced analytics, and digital solutions to transform sustainability reporting, planning, and decision-making across the organization.

Key Responsibilities

Lead the end-to-end digitalization of sustainability processes across Electrification, defining and executing the digital transformation roadmap for sustainability reporting, planning, and performance management.
Deploy and operationalize the ELEC Sustainability Long-Term Strategy (LTS) for digitalization and AI, translating strategic objectives into actionable technology initiatives with clear milestones and KPIs.
Coordinate with GEV HQ and Electrification DT teams to ensure alignment on digital strategy, shared platforms, data standards, and AI governance across the organization.
Develop and deliver AI-powered systems, applications, and digital tools that create measurable value for internal and external customers, including predictive analytics, automated reporting, and decision-support platforms.
Drive the 30% productivity improvement target by identifying, designing, and implementing automation solutions that eliminate administrative and non-value-added tasks from sustainability reporting and compliance workflows.
Design and implement scalable data architectures, pipelines, and AI/ML models that underpin sustainability analytics, forecasting, and scenario planning capabilities.
Build and lead cross-functional partnerships with Finance, Digital, Operations, and Supply Chain teams to ensure digital sustainability solutions are integrated into enterprise systems and business processes.
Establish governance frameworks, quality standards, and best practices for AI and digital sustainability tools, ensuring scalability, auditability, and compliance with regulatory requirements.

Requirements

Advanced degree (Master’s or PhD preferred) in AI/Machine Learning, Data Science, Computer Science, Sustainability, Engineering, or a related quantitative field.
Significant proven progressive experience in digital transformation, AI deployment, sustainability technology leadership, or related roles with demonstrated impact at enterprise scale.
Proven track record of developing and deploying AI/ML solutions, digital platforms, and automation tools that deliver measurable business outcomes (productivity, cost reduction, process efficiency).
Experience coordinating across global matrixed organizations, including HQ functions, business units, and cross-functional digital teams. Familiarity with Electrification Segment and GEV structures preferred.
Strong understanding of sustainability metrics, sustainability reporting frameworks (EU taxonomy, CSRD, GRI, TCFD), and the ability to translate sustainability requirements into digital and AI solution specifications.
Very good communication and stakeholder management skills in a global, matrixed environment, with demonstrated ability to influence senior leadership and drive adoption of digital solutions across diverse teams.