AI Product Owner - Oil & Gas Operations

Insight Global; Dallas (TX); Sur place; USD 120 000 - 190 000; Plein temps

Résumé du poste

Insight Global is seeking an AI Product Owner - Engineering to represent business needs for AI products across drilling, completions, production operations, marketing, and field workflows.

You will own the product lifecycle from discovery through adoption, partnering with AI engineering and other tech teams to enable feasible, scalable, and responsible AI solutions that boost efficiency and performance across the asset lifecycle.

Qualifications

• Bachelor’s degree in a technical field relevant to oil and gas.
• 5+ years supporting drilling, completions, or related operations.
• Experience leading cross-functional technology or business transformation initiatives.
• Ability to translate operations workflows into clear requirements and measurable outcomes.
• Experience delivering AI/ML or analytics products from concept to adoption.
• Direct Product Owner experience with roadmaps, backlogs, and acceptance criteria in Agile.
• Familiarity with AI governance, data quality, and model risk concepts.

Responsabilités

• Own the product outcome lifecycle from discovery to adoption and value realization.
• Partner with AI Engineering & Delivery and other tech teams for feasibility, solutioning, and deployment.
• Deliver responsible AI solutions to improve operational efficiency and field execution.
• Leverage domain knowledge to influence product strategy across asset lifecycle.

Connaissances

Cross-functional leadership

Requirements translation

Product ownership

AI fluency

Agile delivery

Data analytics

Formation

Bachelor's degree in Petroleum, Mechanical, Chemical, Industrial Engineering, Data Science, Information Systems or related technical field

Outils

Spotfire

WellView

Ignition

Snowflake

XSPOC

Python

Power BI

Description du poste

Insight Global is seeking an AI Product Owner - Engineering to represent business needs for AI products across drilling, completions, production operations, marketing, and field workflows.

You will own the product lifecycle from discovery through adoption, partnering with AI engineering and other tech teams to enable feasible, scalable, and responsible AI solutions that boost efficiency and performance across the asset lifecycle.