AI Product Owner - Engineering

Insight Global; Dallas (TX); Presencial; USD 120.000 - 190.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Cross-functional leadership

Requirements translation

Product ownership

AI fluency

Agile delivery

Data analytics

Educación

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

Herramientas

Spotfire

WellView

Ignition

Snowflake

XSPOC

Python

Power BI

Descripción del empleo

Job Description

The AI Product Owner - Engineering serves as the primary business representative for Artificial Intelligence (AI) products supporting the Drilling, Completions, Production Operations, Marketing, and related field operations workflows. This role owns the product outcome lifecycle from opportunity identification and discovery through prioritization, product definition, business validation, adoption, value realization, and continuous improvement. The Product Owner partners with AI Engineering & Delivery and other technology teams for technical feasibility, solution engineering, productionization, deployment, and technical operations. The Product Owner combines operational domain knowledge, product ownership skills, and AI fluency to deliver responsible solutions that improve operational efficiency, production optimization, field execution, commercial performance, and operational decision-making across the asset lifecycle.

Skills and Requirements

• Bachelor's degree in Petroleum Engineering, Mechanical Engineering, Chemical Engineering, Industrial Engineering, Data Science, Information Systems, or a related technical field5+ years of experience supporting drilling, completions, production operations, marketing, or a closely related operational function within oil and gas
• Experience leading cross-functional technology, analytics, process improvement, or business transformation initiatives in an operational environment
• Experience translating operational workflows and business needs into clear requirements, priorities, and measurable outcomes
• Experience working with operational, engineering, production, field, commercial, or analytics data and systems, including technologies such as Spotfire, WellView, Ignition, Snowflake, XSPOC, Python, Power BI, and similar platforms
• Experience delivering or supporting AI, machine learning, automation, data, or analytics products from concept through adoption
• Direct Product Owner experience managing product roadmaps, backlogs, user stories, and acceptance criteria in an Agile environment
• Experience using AI-enabled rapid product discovery techniques, including prototyping, user testing, workflow simulation, data exploration, or lightweight experimentation to test assumptions and reduce uncertainty before development.
• Knowledge of AI model evaluation, operational data practices, responsible AI governance, model risk controls, and data quality requirements
• Experience leading digital transformation or change adoption across Drilling, Completions, Production Operations, Marketing, or field operations teams
• Familiarity with drilling performance optimization, completions execution, production surveillance, artificial lift optimization, production forecasting, operational reporting, and field data management workflows

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].