Job Summary

The Production Optimization Engineer is responsible for advancing production optimization initiatives through the Remote Operations Center (ROC). This role serves as the primary liaison between production operations, production engineering, and Digital Advancement teams to identify opportunities, prioritize initiatives, and drive adoption of technology-enabled solutions that improve production performance and operational efficiency.

Working closely with field teams, the Production Optimization Engineer will help expand the capabilities and adoption of Leucipa, advance edge computing initiatives, automate production workflows and reporting, and support the deployment of emerging AI-enabled solutions. The successful candidate combines strong production engineering expertise with a passion for leveraging technology to improve business outcomes.

Job Duties & Responsibilities

Production Optimization

• Identify and champion initiatives that improve production performance, reduce downtime, and increase efficiency across production operations
• Partner with production operations and production engineering teams to identify challenges and develop technology-enabled solutions
• Evaluate and prioritize opportunities based on business value, production impact, and implementation feasibility
• Track initiative performance and communicate results to stakeholders

Remote Operations Center Advancement

• Support the continued evolution of the ROC's capabilities and effectiveness
• Identify opportunities to improve ROC workflows, decision-making processes, and day-to-day efficiency
• Reduce manual effort through automation and streamlined processes
• Serve as a key advocate for digital adoption within production operations

Leucipa Development and Adoption

• Lead efforts to expand the value, utilization, and adoption of Leucipa across the organization
• Gather business requirements and translate production needs into enhancement opportunities
• Partner with Digital Advancement, production operations, and production engineering teams to develop and deploy new capabilities
• Support user training, change management, feedback collection, and continuous improvement activities

Edge Computing and Optimization Technologies

• Support the development and deployment of edge computing solutions that improve real-time production awareness and response
• Identify opportunities to leverage edge-based alarming, event detection, and automation capabilities to optimize production operations
• Partner with production operations, SCADA, and Digital Advancement teams to deploy and scale solutions that drive measurable business value

Reporting and Automation

• Identify recurring production reporting processes suitable for automation
• Partner with technical resources to develop dashboards, reports, and automated workflows
• Improve data accessibility and reduce reliance on manual reporting processes
• Drive consistency and efficiency in production reporting across the organization

AI and Digital Advancement

• Develop proficiency in AI, machine learning, and advanced analytics practices relevant to production operations
• Support deployment and adoption of AI-enabled tools that improve production effectiveness and decision-making

Stakeholder Engagement and Initiative Coordination

• Act as the business-facing product owner for assigned ROC and production optimization initiatives
• Coordinate with broader Digital Advancement teams on initiative prioritization, resource planning, and delivery schedules
• Facilitate collaboration among production operations, production engineering, Data Science, SCADA, and software development teams
• Ensure initiatives remain aligned with business priorities and strategic objectives

Education

Minimum: One of the following:

Bachelor's degree - from accredited university - Engineering from an ABET Engineering Accreditation Commission (EAC) program, or

Professional Engineer (PE) license, or

Master's degree - from accredited university - Master's of Engineering degree from a program in which the correlating Bachelor's degree is accredited by the ABET EAC

Experience

Minimum: 2 years related work experience in production engineering, operations engineering, or production operations

Additional Qualifications

• Strong understanding of unconventional oil and gas production systems and optimization practices
• Demonstrated ability to identify, prioritize, and execute production improvement opportunities
• Strong communication, collaboration, and stakeholder management skills
• Self-starter with the ability to lead initiatives across functional boundaries
• Experience with production surveillance, optimization, or analytics platforms
• Familiarity with Expand's Leucipa platform
• Experience working with SCADA, operational technology, or automation systems
• Exposure to reporting, dashboarding, and workflow automation tools
• Interest in AI, machine learning, and digital transformation initiatives

Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States.