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

Houston Dose; Houston (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

excellent benefits

competitive compensation package

generous equity plan

Job summary

C3 AI is seeking an Enterprise AI Delivery Leader in Houston to own end-to-end AI solution delivery for oil, gas, and chemical assets. You will guide cross-functional teams from problem definition to production deployment, aligning technical solutions with business outcomes.

Leaders with 7+ years of engineering and operations experience will translate complex challenges into measurable AI/value, collaborating with executives to scale across facilities.

Qualifications

• 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.

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.

Skills

Leadership

Cross-functional collaboration

Strong communication

AI/ML/optimization

Industrial data analysis

Process controls and APC

Job description

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