AI Product Owner — Oil & Gas Operations

Diamondback Energy, Inc.; Midland (TX); Presencial; USD 140.000 - 210.000; Jornada completa

Descripción de la vacante

Diamondback Energy, Inc. seeks an AI Product Owner - Engineering to lead AI product outcomes across Drilling, Completions, Production Operations, Marketing and related field workflows in Midland, Texas.

You will own the product lifecycle from discovery through adoption, partnering with AI Engineering & Delivery to ensure feasible, scalable solutions that drive efficiency and value realization. Requirements include a technical degree in petroleum or related engineering/analytics fields and 5+

Formación

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

Responsabilidades

• Partner with Drilling, Completions, Production Operations, Marketing, and related stakeholders to understand workflows, data requirements, controls, and operational challenges, and identify, evaluate, and prioritize AI and automation opportunities based on business value, technical feasibility, risk, data readiness, and strategic alignment.
• Translate business needs into clear product requirements, user stories, success criteria, acceptance criteria, and AI quality expectations.
• Own post-launch product performance and continuous improvement by monitoring adoption, AI performance, business outcomes, realized value, user feedback, and relevant risk measures.

Conocimientos

Cross-functional leadership

AI/analytics product ownership

Requirements translation

Educación

Petroleum Engineering

Mechanical Engineering

Chemical Engineering

Industrial Engineering

Data Science

Information Systems

Herramientas

Spotfire

WellView

Ignition

Snowflake

XSPOC

Python

Power BI

Descripción del empleo

Diamondback Energy, Inc. seeks an AI Product Owner - Engineering to lead AI product outcomes across Drilling, Completions, Production Operations, Marketing and related field workflows in Midland, Texas.

You will own the product lifecycle from discovery through adoption, partnering with AI Engineering & Delivery to ensure feasible, scalable solutions that drive efficiency and value realization. Requirements include a technical degree in petroleum or related engineering/analytics fields and 5+