Sustainability Metrics Governance and AI Specialist

Job Description Summary
The Sustainability Metrics Governance AI Specialist is responsible for supporting the quality, governance, assurance, and continuous improvement of sustainability metrics and related data processes across GE Vernova. This individual will play a key role in executing data quality controls, managing sustainability data workflows, operationalizing reporting requirements, and identifying opportunities to leverage AI, automation, and advanced analytics to improve reporting efficiency, accuracy, and decision-making across the enterprise.
Reporting to the Senior Sustainability Data Strategy and Analytics Leader, this position works closely with the Sustainability Director, Sustainability Controller, and Digital Technology (DT) teams. The role serves as an operational bridge between sustainability, data, and technology teams, translating strategic business requirements into scalable data solutions, governance processes, automation capabilities, and AI-enabled workflows. This individual will support the execution of GE Vernova's sustainability data strategy, analytics priorities, and AI roadmap to enhance data quality, governance, and reporting capabilities. This individual will be responsible to ensure all reported data adheres to internal guidelines and standards. This role will project manage and resolve any identified gaps or issues regarding reported data.
The successful candidate will support Corporate and segment sustainability teams in understanding their data, identifying reporting gaps, driving continuous improvement, and implementing best-in-class processes for data gathering, recordkeeping, and reporting. In addition, this role will help identify, develop, and deploy AI- and automation-enabled solutions that improve data quality, strengthen governance, reduce manual effort, and provide actionable insights. Working closely with business stakeholders, AI specialists, and DT teams, the individual will help bring strategic sustainability and digital transformation initiatives to life through practical, scalable solutions that support the organization's sustainability objectives.

Job Description

• Support the development and continuous improvement of GE Vernova's sustainability data strategy.
• Translate reporting objectives into actionable data quality plans.
• Partner with DT/AI teams to convert business requirements into scalable solutions and governance processes.
• Ensure alignment with enterprise data standards and update guidelines as directed.

• Support Management Review Checklist (MRC) execution and external assurance/audit activities.
• Execute periodic monitoring of critical sustainability KPIs.
• Collaborate with leaders to resolve data quality issues.
• Expand monitoring scope beyond GHG emissions to energy, water, waste, and circularity.

• Support the development and implementation of AI-enabled reporting and analytics.
• Manage project plans, timelines, and serve as a liaison between sustainability, DT, and AI stakeholders.
• Assist in designing, testing, and deploying automation tools; develop prototypes using Python, N8N, and Power BI.

• Partner with operations to ensure sustainability data accuracy and completeness.
• Support quarterly reviews, board reporting, and regulatory disclosures.
• Validate ESG metrics (GHG, energy, water, waste) and identify process improvement opportunities.
• Support assurance activities for voluntary and mandatory reporting.

• Conduct data gap assessments and coordinate remediation.
• Drive continuous improvement initiatives to enhance data quality and reporting effectiveness.
• Manage project plans, track milestones, and ensure timely, accurate reporting.

• Develop/maintain SOPs for data collection, management, and reporting.
• Support alignment with frameworks like CSRD, ESRS, and GHG Protocol.
• Promote consistent reporting practices across the organization.

• Bachelor's degree in a relevant field and a minimum of 5 years of relevant professional experience; or master's degree in a relevant field and a minimum of 3 years of relevant professional experience.

• Expertise: Knowledge of GHG Protocol, CSRD, ESRS, SEC, and EU Taxonomy.
• Assessment: Experience evaluating the quality, accuracy, and completeness of ESG disclosures.
• Skills: Strong analytical, project management, and communication skills.
• Technical: Proficiency in MS Office, Power BI, Tableau, SQL, Python, R, and AI/automation concepts.
• Mindset: Independent, collaborative, results-oriented, and passionate about process improvement