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Industry Solution Leader - Heavy Industrial (Mining & Milling Asset Performance and Optimization)

C3 AI· Forward Deployed Engineering
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Chicago, IL, New York, NY$130k - $203kPosted 4w ago

About the role

Industry Solution Leader (ISL) for Heavy Industrial to lead design and delivery of enterprise AI solutions with a specialization in Mining & Milling Asset Performance and Optimization. Combines senior domain expertise and solution leadership to define technical solutions, own delivery outcomes, and lead cross-functional teams through design, deployment, validation, and scale in collaboration with customer executives and engineers.

Responsibilities

  • Own the overall solution strategy, technical direction, and delivery outcomes for assigned customer engagements, from problem definition through production deployment and scale.
  • Serve as the primary customer-facing solution leader and domain expert, understanding customer operations, equipment, processes, constraints, and business objectives.
  • Identify and quantify high-impact business opportunities across reliability, maintenance, production performance, process optimization, throughput, yield, quality, energy efficiency, and operating economics.
  • Translate complex engineering and operational challenges into tractable AI, machine learning, optimization, and software problems with clearly defined requirements, success criteria, and business value.
  • Lead engagements through use case definition, requirements gathering, solution architecture, application configuration, validation, production deployment, user adoption, and scale-out.
  • Apply engineering and industry expertise to challenge assumptions, evaluate approaches, interpret results, and ensure alignment with fundamentals and realities.
  • Lead cross-functional teams (Forward Deployed Engineers, data scientists, product managers, engineers, industry experts) and drive alignment around outcomes.
  • Work with customer teams to validate requirements, solution performance, workflows, and business impact.
  • Guide interpretation and use of industrial data (signals, attributes, states, maintenance history, production, alarms, quality, etc.).
  • Maintain accountability for solution quality, business value, risks, delivery progress, adoption, and executive communication.
  • Partner with product management and engineering to identify reusable capabilities and scale solutions across assets and facilities.
  • Support sales in opportunity assessment, defining problems, approaches, value, requirements, deployment strategy, and demonstrations.
  • Develop statements of work and deployment plans with clear scope, deliverables, data needs, risks, timelines, and resources.
  • Develop repeatable methodologies, solution patterns, and best practices; represent C3 AI in forums.

Qualifications

  • Bachelor's degree in Engineering or related technical discipline. Preferred: Mechanical, Chemical, Electrical, Industrial, Mining, Metallurgical, Petroleum, Materials, or similar backgrounds.
  • 7+ years in engineering, manufacturing, operations, reliability, maintenance, industrial technology, or technically focused consulting.
  • Deep experience in asset-intensive industries (e.g., minerals/mining, heavy manufacturing, oil & gas, chemicals, power).
  • Proven track record solving complex operational problems and improving equipment reliability, throughput, yield, quality, maintenance effectiveness, or energy efficiency.
  • Strong understanding of industrial equipment, processes, maintenance practices, and workflows.
  • Experience with industrial data (sensor/time-series, states, alarms, maintenance history, production data, quality data, etc.).
  • Experience with industrial systems (SCADA, DCS, MES, EAM/CMMS, ERP, industrial analytics platforms).
  • Ability to reason from engineering fundamentals and assess credibility of AI-driven recommendations.
  • Experience leading customer-facing technical engagements and collaborating with engineering, operations, and executive stakeholders.
  • Strong analytical and problem-solving skills; ability to structure ambiguous problems and drive practical solutions.
  • Ability to work with software engineers, data scientists, product managers, and customer technical teams; translate between domain, business, and technical requirements.
  • Excellent presentation, written communication, leadership, and interpersonal skills.
  • Willingness and ability to travel to customer locations.

Skills

Required:Industry expertise in Heavy Industrial / Mining & MillingSolution leadership and program managementCommunication and stakeholder managementIndustrial data and analytics
Nice to have:Programming / data tools
Last updated Sep 24, 2026. Interested? Apply on the company site.

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