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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and visible Product role attract many qualified applicants.
AI product skills broadly transferable, but energy SQDC and enterprise context require domain familiarity.
Explicit 10+ years, required AI product deployment experience, and leadership demands make filters stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead development and execution of AI-powered products aligned with Safety, Quality, Delivery, and Cost (SQDC) metrics to drive operational improvements.
Collaborate across business, engineering, research, and third-party suppliers to build product roadmaps and ensure technical rigor in AI solutions.
Monitor AI product performance post-launch using data analytics, define success metrics, gather feedback, and iterate to maximize impact.
Minimum Requirements
Bachelor's Degree in Mathematics, Computer Science, Engineering, or related field.
10+ years of relevant experience, experience with GE/GE Vernova highly preferred.
Proven experience in building and deploying AI applications.
Relocation assistance provided; notice period not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in managing cross-functional teams integrating business strategy and technical AI initiatives within large enterprises.
Familiarity with the energy sector or AI applications related to Safety, Quality, Delivery, and Cost frameworks preferred.
Strong data-driven decision maker with ability to translate complex AI technical challenges into strategic business opportunities.