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Tier-1 brand, metro location, and common product title increase applicant density despite senior AI specialization.
Energy-industry context and AI product leadership favor domain-specific candidates.
Explicit 10+ years and mandatory AI product leadership raise filter strictness.
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Own and develop AI-powered products aligned with strategic objectives to improve Safety, Quality, Delivery, and Cost (SQDC) outcomes.
Collaborate across cross-functional teams including business, engineering, research, and third-party suppliers to build and integrate AI solutions.
Define and track KPIs to measure AI product impact post-launch, iterating based on data and user feedback.
Bachelor's Degree in Mathematics, Computer Science, Engineering, or related field.
10+ years of relevant experience.
Experience building and deploying AI applications.
Relocation assistance provided; Notice period: Not explicitly mentioned in the JD.
Experienced in integrating technical AI initiatives with business strategy, preferably with GE or GE Vernova exposure.
Proven leadership in managing cross-functional teams and collaborating with diverse stakeholders including C-suite.
Data-driven decision maker with strong analytical problem-solving skills focused on AI product risk and success metrics.