Jay Cao Email & Phone Number

Chicago, IL, US

Seattle, WA, US

Expanded role to cover the Power and Utilities sector (including generation, T&D, and consumption), with a focus on 1)Line of business solutions as part of large scale transformation programs 2) Data platforms + AI/GenAI use cases, especially ones with Agentic workflows.

Seattle, WA, US

Amazon Web Services (AWS) is leading the adoption of cloud/IoT/AI/ML technologies for customers that own / operate Renewable Energy Generation Assets. The ecosystem of technology, innovation services available to customers is incredibly complex to consume and AWS aims to simplify this to support scalable and economic innovation. As head of Renewables.

• Expanded commercial responsibilities to own both Sales and Customer Success of global key Renewables accounts (primarily Wind/Hydro/Solar, some Energy Storage), focused on digital solutions and services (cloud-based.
• Lead deal team (commercial leaders, pre-sales solution architects, product/ technical support) to generate revenue and pipeline.
• Develop and maintain strong business value selling skills, and solicit new business and / or retain and penetrate existing business in order to drive growth.
• Build strong and enduring "trusted advisor" relationships at all levels of Customer org, through thought leadership, Customer engagements, and solid execution.
• Develop strategy and relationships for external partnerships, to fill gaps in our solutions, and produce win-win-win outcomes for GE/partners/Customers.
• Align internal strategic growth vision and objectives with market needs and competitive assessments, including participating in essential operating rhythm processes with product management, software engineering/ data.

Led end-to-end global strategic account engagements, and own defining/delivering enterprise digital transformation roadmaps, including product enhancements, implementation, Customer Success initiatives, and up-sells/cross-sells/renewals for our IIOT (Industrial Internet of Things) and Predictive Analytics enterprise SaaS & solutions, e.g. APM (Asset.

Off program role for RELP; Led a global team of 20+ data and computer scientists to develop Predictive analytics & BI apps supporting reliable operations of the 10,000+ wind turbine fleet and digital growth through commercial IIOT (Industrial Internet of Things) software pilots.

Managed a wind blade supplier ramp up, leading a global cross functional team to complete qualification & deliver blades for a US project under tight schedule, avoiding $xxM revenue miss by year end & also saved $xM in Liquidated Damages.

RELP is GE’s premier leadership program designed to enable selected high potential candidates to develop holistic understanding of the Renewables industry & comprehensive leadership skills through a combination of CEO-sponsored projects/rotations and classroom training.

Led ~$xB wind new units proposals as technical and/or commercial leader, laying ground work for multiple wins (~$xxxM).

Led cross-functional strategic initiative of total landed cost (sourcing/logistics/projects) optimization and risk management, achieving saving of xx $MM. Reported out to CEO and VP, Global Supply Chain.

- Led development of project-specific Contribution Margin expansion plans, with $xxM+ improvement to Op Profit. - Developed 3-year Wind P&L global financial forecast, driving strategic discussions with CEO and the leadership team in the annual Growth Play Book process.

- Led successful new product launches of GE’s 1.6-100 and 2.75-103 wind turbines, by reaching out to Independent Engineers, Financiers and Customers, quickly capturing market share in US and globally. - Led critical product strategy analytics & discussions, including: NPI/technology & resource investments business cases and prioritization, new regional.

Niskayuna, New York, US

- Led integrated mechanical/electrical systems design projects for multiple GE businesses, including Energy, Aviation, and Healthcare. Examples include MEMS sensors, X-ray systems, Turbines and Generators. - Developed computer models and algorithms for multi-physics modeling and optimization using High Performance Clusters (HPC)- Served as project leader.

Niskayuna, New York, US

Designed a novel silicon-based harsh environment pressure sensor for GE Energy's Gas Engine business, which optimized fuel consumption and reduced cost.

Ph.D., Manufacturing Engineering

M.S., Engineering

B.S., Mechanical Engineering