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Services AI Change Management & Adoption Leader
GE Vernova · Boston, MA
Publicada em 30/10/2026
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Job Description SummaryJob DescriptionJob Summary:The Services AI Change Management & Adoption Leader drives the hands-on activation and sustained adoption of AI-enabled solutions across the Gas Power Services business. Partnering closely with business process owners, GenAI Process Managers, and IT/Digital Transformation (DT) teams, this role defines and executes a repeatable change management playbook for Services AI initiatives-ensuring readiness, adoption, and measurable business impact at the initiative level. In addition, this role owns the Context Management process-ensuring that fleet, unit, and site-specific business context is properly structured, maintained, and accessible to power effective AI solutions. This role serves as a key change agent for re-designing business process flows to enable AI transformation in the business.Essential Duties & Responsibilities:• AI Change Management Playbook Execution: Execute and continuously improve the standardized change management playbook for GenAI initiatives (templates, readiness gates, activation cadence, hypercare model) using the frameworks and templates established by the Services AI Portfolio and Governance Leader.• Context Management Process Ownership: Own the end-to-end Context Management process-defining how fleet, unit, and site-specific business context is captured, structured, validated, and maintained to enable accurate and effective AI solutions. Examples include managing fleet-level configuration data, unit maintenance and operational history, site-specific customer requirements, regional regulatory considerations, and equipment-specific knowledge that informs AI model accuracy and relevance.• Context Data Quality & Enrichment: Partner with business process owners and data teams to ensure context data (fleet profiles, unit records, site documentation) is current, complete, and properly structured for AI consumption; drive continuous enrichment of context repositories as new AI use cases a
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