PCS Efficiency/Artificial Intelligence Leader

Job description

Job Description

Summary As the Director of AI, you will lead the AI transformation strategy for the Power Conversion and Storage (PCS) business. You will be responsible for building the foundational AI enablement infrastructure while orchestrating the delivery of high-impact AI solutions across five critical work streams: Engineering, Services, Manufacturing, Sourcing, and Commercial. This role is a unique hybrid of platform building, product management, and business process re-engineering, aimed at driving measurable productivity gains and competitive advantage.

Strategic AI Enablement: Define and execute the roadmap for our internal AI projects, including data architecture, model selection, and secure deployment pipelines. Ensure PCS project delivery guidelines are compliant to GE Vernova process while working to enable fast, nimble project delivery.

Work Stream Leadership

Provide direct leadership and oversight to five dedicated AI Work Stream Leads. You will set the cadence for progress, ensure cross-pollination of best practices, and hold them accountable for tangible productivity improvements in their respective functions.

Cross-Functional Transformation

Engineering: Accelerate NPI programs & software development, reduce ITO delivery cycle times while leveraging product platforming, and streamline project engineering processes with AI Agents.

Services

Improve asset uptime and predictive maintenance accuracy. Improve data access and product information availability to services engineering team.

Manufacturing

Optimize throughput and quality control through computer vision, process analytics and other automated methods.

Sourcing

Leverage predictive analytics to optimize supply chain resilience and cost.

Commercial

Enhance lead conversion and customer pricing models.

Change Management

Act as a champion for an AI-first culture, driving adoption, addressing technical debt, and ensuring our workforce is upskilled to collaborate with AI tools.

Governance & Compliance

Establish robust guardrails for AI ethics, data privacy, and intellectual property protection in line with GE Vernova standards.

Productivity

Work to implement best practicing sharing, remove duplication of work, and ensure organization follows a robust tool validation process.

Qualifications

Experience: 12+ years in technical leadership roles, with at least 5 years specifically focused on leading enterprise-scale AI/ML transformations.

Industry Knowledge

Deep understanding of Power Conversion, Energy Storage, or related industrial sectors is highly preferred.

Leadership

Demonstrated experience managing cross-functional teams and influencing senior stakeholders. Ability to translate technical AI jargon into clear business value.

Technical Acumen

Hands-on experience with modern AI stacks (LLMs, predictive modeling, data engineering). Ability to guide architectural decisions regarding "build vs. buy."

Education

Master’s degree or PhD in Computer Science, Data Science, Engineering, or a related field; MBA is a plus.

Additional Information Relocation Assistance Provided

Yes