MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Engineering, Computer Science, Data Science, or related field (or equivalent industry experience).

• 7+ years of experience in midstream oil & gas or industrial operations a with role focused on operations, technology, or innovation.

• Proven experience deploying AI/ML solutions in operational environments.

• Strong understanding of Operating Equipment, SCADA, Maximo, Measurement, and asset performance systems.

• Excellent communication, leadership, and decision-making skills.

• Ability to travel frequently across Targa’s operational regions and respond to urgent matters outside standard business hours.

• Familiarity with regulatory frameworks (DOT/PHMSA, EPA, OSHA) and how AI & Emerging Technology can support compliance and performance.

• Familiarity with pipeline, compressor, gas plant, and fractionator operations and how AI & Emerging Technology can support enhanced performance.

PREFERRED QUALIFICATIONS: 

• Vision to see what can be, with the knowledge to understand deployment limitations. 

• Field engineering and operational background

• Experience working with startups/partners (scouting, evaluation, pilots/POCs, and scale-up), including navigating ambiguity and fast iteration cycles.

• Experience supporting investment diligence by translating technical findings into clear decision inputs (technical risks, integration effort, security/data considerations, and scaling path) for business stakeholders.

• Experience designing testing and acceptance strategies for new technology deployments (requirements, integration testing, cybersecurity considerations, UAT, and operational readiness reviews).

• Ability to define and track KPIs/value realization for pilots and deployments, including building basic dashboards/scorecards and leading root-cause analysis when outcomes drift from targets.

• Strong vendor/partner evaluation skills, including reviewing architectures, security posture, data handling, support models, and SLA/operational requirements.

• Working knowledge of data/AI and automation tooling (e.g., Python, APIs, cloud/edge platforms) and concepts such as model/version governance, system integration, and change management.

EQUAL EMPLOYMENT OPPORTUNITY:

Targa Resources provides equal employment opportunities based on merit, experience, and other work-related criteria and without regard to race, color, ethnicity, religion, national origin, sex, age, pregnancy, disability, veteran status, or any other status protected by applicable law. We also strive to provide reasonable accommodation to employees’ beliefs and practices that do not conflict with Targa’s policies and applicable law. We value the unique contributions that every employee brings to their role with Targa.