Experteer Overview
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In this role you will lead the adoption and enablement of AI across Wind Engineering, driving training, change management, and cost governance. You partner with engineering teams to pilot and scale AI tools, ensure adoption, and measure value. You own the AI enterprise budget and ensure spend aligns with outcomes. You build communities of practice, design targeted training, and communicate strategy across stakeholders. You contribute to shaping AI-enabled engineering workflows at GE Vernova.
Compensaciones / Ventajas
• Lead structured adoption plans for new AI tools and technologies aligned with engineering priorities and user needs.
• Partner with engineering teams to pilot and scale AI tools that improve workflows and productivity.
• Identify and address adoption barriers including usability, trust, access, workflow fit, and cultural resistance.
• Track adoption, utilization, and user satisfaction to inform prioritization and investment decisions.
• Escalate, re-evaluate, or rationalize tools not achieving sustained adoption.
• Own and manage the AI enterprise cost budget including GitHub Copilot, compute, and AWS services.
• Ensure cost-driven implementation; justify costs by measurable adoption and business value.
• Collaborate with Finance and Digital/IT for budget visibility, forecasting, and cost/value reporting.
• Evaluate new tool investments for capability fit, cost sustainability, adoption likelihood, and alignment to Wind Engineering priorities.
• Rationalize underutilized or non-value-delivering tools.
• Design, build, and maintain AI training and enablement programs from foundational literacy to advanced skills.
• Tailor training to engineering roles and personas; map to AI strategy and career progression.




• Continuously update training content reflecting new tools and governance requirements.
• Create and sustain AI communities of practice across Wind Engineering; design programming and recognition mechanisms.
• Ensure community activity aligns with AI strategy priorities and showcases portfolio wins.
• Maintain visibility of community health via engagement metrics and knowledge reuse indicators.
• Develop and execute a Wind Engineering AI communications strategy; tailor messages for diverse audiences.
• Design change management plans for AI capability introductions, tool rollouts, and workflow transitions.
• Address resistance and misalignment through structured engagement and targeted messaging.
• Coordinate with the AI Process Transformation Lead to align communications with milestones and timelines.
• Define and maintain a dashboard of adoption metrics across the AI portfolio.
• Capture user feedback on usability, reliability, trust, and workflow fit.
• Use data to replicate high-performing adoption patterns and intervene where needed.
• Report adoption performance with insights and recommended actions. xqbhyrx
• Drive continuous improvement of the enablement model based on evidence.
Responsabilidades
• Bachelor's degree in engineering or related field
• Significant experience in change management, organizational learning, technology adoption, or digital transformation in a complex technical organization
• Experience leading adoption and enablement of new digital tools across engineering or operational groups
• Ability to manage a budget with discipline, including cost governance, value tracking, and investment rationalization
• Strong stakeholder engagement skills across engineering teams, Digital/IT, Finance, and HR
Requisitos principales
• medical, dental, vision coverage
• retirement savings plan with company matching
• tuition assistance
• adoption assistance
• paid parental leave
• life insurance

📌 AI Adoption & Enablement Leader (Barcelona)
🏢 GE Vernova
📍 Barcelona