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Industry Solution Leader - Oil, Gas & Chemical; Refining​/Chemical Asset

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Houston Dose
Full Time position Listed on 2026-11-15
Job specializations:
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR

Job Description & How to Apply Below

Position: Industry Solution Leader - Oil, Gas & Chemical (Refining / Chemical Asset Performance)
Overview

In this role you will own the end-to-end delivery of enterprise AI solutions for oil, gas, and chemical assets, with a focus on refining and asset performance. You'll partner with client engineers, operations, and executives, guiding cross-functional teams to turn complex industrial challenges into practical AI-enabled outcomes. You will shape solution strategy, oversee deployment from problem definition to scale, and drive measurable business value.

This is an opportunity to lead transformational projects in asset-intensive industries using C3 AI's platform and practices.

Compensation / Benefits
  • excellent benefits
  • competitive compensation package
  • generous equity plan
Responsibilities
  • Own solution strategy, technical direction, and delivery outcomes for customer engagements from problem definition to production deployment and scale
  • Serve as primary customer-facing solution leader and domain expert on operations, equipment, processes, and business objectives
  • Identify and quantify high-impact opportunities across reliability, maintenance, production performance, process optimization, throughput, yield, and energy efficiency
  • Translate engineering/operational challenges into AI/ML/optimization problems with clear requirements and value
  • Lead engagements through use case definition, requirements gathering, solution architecture, configuration, validation, deployment, adoption, and scale-out
  • Apply engineering/domain expertise to challenge assumptions, evaluate approaches, and ensure alignment with real-world constraints
  • Lead cross-functional teams of Forward Deployed Engineers, data scientists, product managers, and engineers toward customer outcomes
  • Collaborate with customers to validate requirements, workflows, and business impact across operations, reliability, and maintenance
  • Guide interpretation and use of industrial data (signals, states, alarms, maintenance history, quality data, etc.) for problem solving
  • Maintain accountability for solution quality, value, risks, progress, and executive communication
  • Partner with product management/engineering to identify reusable capabilities and scale solutions across assets and facilities
  • Support sales in opportunity assessment, defining problems, value, and deployment strategy; assist with SOWs and deployment plans
  • Develop repeatable industry methodologies, patterns, and best practices; represent C3 AI in forums
Key requirements
  • 7+ years in engineering, manufacturing, operations, reliability, maintenance, or technically focused consulting
  • Deep experience in asset-intensive industries (oil & gas, chemicals, petrochemicals, etc.)
  • Strong understanding of industrial equipment, processes, controls, and workflows
  • Experience with industrial data (sensor/time-series, states, alarms, maintenance, production, quality) and data systems (SCADA, DCS, MES, ERP, etc.)
  • Ability to translate engineering fundamentals into credible analytic/AI recommendations
  • Proven track record leading complex, customer-facing technical engagements with engineers, operators, and executives
  • Excellent presentation, written communication, leadership, and interpersonal skills
  • Ability to travel to customer locations as required
  • Experience delivering AI/analytics, optimization, predictive maintenance, or industrial digital transformation is preferred
  • Hands‑on technical experience with SQL, Python, analytics tools, data inspection, and troubleshooting
  • Experience taking solutions from proof of value to production deployment and scale
  • Experience scaling solutions across multiple assets, plants, or business units
  • Authorized to work in the United States without sponsorship
  • leadership
  • cross-functional collaboration
  • strong communication
  • AI/ML/optimization
  • industrial data analysis
  • process controls and APC
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