AI-Driven Operations Analytics Lead

GE-Vernova-; Greenville (SC); Hybrid; USD 89,000 - 149,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Prescription drug coverage

401(k) retirement plan

Job summary

GE Vernova is seeking an Operations Lead to advance the engineering organization’s operational framework, enabling scaling and reliable delivery. You will drive cross‑functional collaboration, build risk analytics, and implement data‑driven workflows with modern tools.

Qualifications include an MBA (or advanced degree) and 1–2 years pre‑MBA experience; travel up to 20%. The role is 4 days onsite and 1 day remote from Greenville, SC.

Qualifications

• MBA (or equivalent advanced business degree) is required.
• Undergraduate degree in Engineering, Business, or a highly quantitative field is required.
• 1-2 years of pre-MBA experience in a quantitative/analytical role are preferred.

Responsibilities

• Advance daily management tools and processes using AI to modernize data usage for leadership.
• Lead development of risk analytics frameworks to identify operational, financial, and schedule risks.
• Develop and maintain operational workflows with predictive analytics to preempt failures or gaps.
• Monitor and report on key operational metrics, translating trends into actionable insights.

Skills

Data storytelling

Executive communication

Project lifecycle

Cross-functional collaboration

Data visualization tools

Power BI

Tableau

SQL

Education

MBA or equivalent advanced degree

Undergraduate degree in Engineering/Business/quantitative field

Tools

Power BI

Tableau

SQL

Job description

GE Vernova is seeking an Operations Lead to advance the engineering organization’s operational framework, enabling scaling and reliable delivery. You will drive cross‑functional collaboration, build risk analytics, and implement data‑driven workflows with modern tools.

Qualifications include an MBA (or advanced degree) and 1–2 years pre‑MBA experience; travel up to 20%. The role is 4 days onsite and 1 day remote from Greenville, SC.