Leads the AI transformation strategy for the Power Conversion and Storage business, building AI infrastructure and overseeing solutions across engineering, services, manufacturing, sourcing, and commercial functions. Establishes AI roadmaps, governance, deployment standards, and productivity goals while managing workstream leaders. Drives process re-engineering, predictive maintenance, computer vision, supply chain analytics, pricing optimization, change management, workforce upskilling, and responsible AI adoption.
Job Description SummaryAs 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.Job Description
- 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.
Relocation Assistance Provided: Yes
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Owns technical product execution for CareSelect Imaging by translating strategy and customer needs into capabilities, features, user stories, acceptance criteria, and prioritized backlogs. Partners with distributed Engineering, Architecture, QA, Product, and Operations teams to manage dependencies, risks, planning, development, testing, releases, and validation. Communicates priorities and delivery status while improving requirements quality and predictability.
Top Skills:
AhaAzure DevopsDevOpsFhirHl7JIRARally
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Provides technical customer support to restaurant clients through chat, voice, and casework channels. Resolves hardware and software issues, explains technical concepts clearly, manages multiple interactions, meets SLA and KPI targets, collaborates with internal teams, and contributes to process improvements. Requires rotational 24/7 availability, including nights, weekends, and holidays, with initial office work in Chennai.
Top Skills:
Chat/Ticketing SystemsPos SystemsSaaS
Artificial Intelligence • Cloud • Information Technology • Consulting
Design and test engineering solutions for software, systems, and integrated products. Collaborate with internal and external development partners, validate technical specifications, and contribute to cross-functional teams delivering reliable, cost-effective solutions. The role requires basic knowledge of hardware design, electrical components, engineering tools, and material properties, along with strong analytical, communication, and teamwork skills.
Top Skills:
Electrical ComponentsEngineering Design SoftwareHardware Design
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
