Oil & Gas Consultant - AI Discovery Support
New
W
WorkanaOil & Gas
Remote in LatamPart-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- Advanced English level
- Experience
- 10+ years
- Required Skills
- Artificial IntelligenceMachine Learning
Requirements
- 10+ years of experience in the oil and gas industry, ideally from an operator, EPC, oilfield services company, or major consulting firm
- Strong background in upstream, downstream, or industrial operations
- Experience with at least two of the following areas: Predictive maintenance, HSE compliance reporting, Capital project data management, Field operations optimization or Production intelligence
- Familiarity with oil and gas data environments, such as OSIsoft PI, SCADA systems, AVEVA, SAP PM, Maximo, or similar platforms
- Working knowledge of AI, automation, machine learning, or AI agents applied to asset management, inspection workflows or operational analytics
- Strong customer-facing communication skills and confidence speaking with senior client stakeholders
- Comfortable working in a flexible, occasional advisory capacity
- Advanced English level
- PhD or Master’s degree in Petroleum Engineering, Chemical Engineering, Industrial Operations, Environmental Science, Data Science, or a related field (Nice to Have)
- Background in digital transformation programs at companies such as Shell, BP, ExxonMobil, Chevron, TotalEnergies, Saudi Aramco, SLB, Baker Hughes, Halliburton, Wood, Worley, Accenture, Deloitte, McKinsey, or similar (Nice to Have)
Responsibilities
- Join occasional client-facing meetings with Xenon7’s CEO and potential oil and gas clients
- Provide subject-matter expertise on oil and gas operations, digital transformation, and AI use cases
- Help identify where AI agents, automation, or analytics could add value across upstream, downstream, HSE, maintenance, production, or capital project workflows
- Support discovery conversations by asking relevant industry-specific questions and helping qualify client needs
- Advise Xenon7 internally on industry context, client pain points, and solution positioning
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