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Operations AI and Advanced Analytics Engineer

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Salary

The current salary range for this role is estimated to be $100,000 - $150,000.

Location

Midland, MI; Plaquemine, LA; Wilmington, DE; Institute, WV; Keokuk, IA; Gurnee, IL; Newark, DE

Posted

Today

We are looking for our next Operations AI & Advanced Analytics Engineer within our Operations Data and Advanced Analytics Team. The Operations AI & Advanced Analytics Engineer will serve as a global subject matter expert in AI, advanced analytics, modeling, and digital solutions for Operations. This role identifies operational improvement opportunities and develops, deploys, and sustains AI/ML-driven applications, analytical models, and optimization solutions that improve safety, quality, reliability, productivity, capacity, cost, and sustainability across the manufacturing network.

What you'll do

  • Partner with manufacturing sites and Operations teams to identify, assess, and prioritize opportunities for AI, advanced analytics, simulation, and optimization.
  • Translate operational business challenges into technical requirements, analytical approaches, and measurable success criteria.
  • Lead diagnostics and root-cause investigations with process experts, engineers, and operational stakeholders.
  • Develop, maintain, and validate statistical, simulation, first-principles, and hybrid process models.
  • Design, test, deploy, and support machine learning and advanced analytics solutions for prediction, anomaly detection, process optimization, and decision support.
  • Build AI-enabled applications, dashboards, user interfaces, and integrated digital solutions to improve operational performance.
  • Monitor model performance and continuously improve accuracy, reliability, and business impact.
  • Provide technical leadership and subject matter expertise in AI, analytics, modeling, and digital solution development across Operations.
  • Mentor engineers and analysts while promoting best practices, reusable solutions, and technical capability development.
  • Lead technical workstreams and ensure compliance with cybersecurity, technology governance, data quality, EHS, and regulatory requirements.

What you'll need

Education

  • Bachelor's degree in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or a related technical discipline.
  • Advanced analytics, data science, digital transformation, Lean Six Sigma, or related certifications preferred.

Experience

  • Minimum of 5 years of experience in manufacturing, engineering, analytics, modeling, digital transformation, or a related industrial environment.
  • Demonstrated experience developing and deploying advanced analytical models, AI solutions, or digital applications that address operational challenges.
  • Experience collaborating across sites, functions, and multidisciplinary teams.
  • Experience with process improvement, optimization, and operational problem-solving in manufacturing environments preferred.

Work environment

  • Combination of office-based and manufacturing/plant environments.
  • Regular collaboration with site personnel, engineering teams, digital specialists, and operational stakeholders across multiple locations.

Physical demands

  • Standard office and industrial manufacturing environment requirements.
  • May require standing, walking through production areas, climbing stairs, and use of required PPE while visiting manufacturing facilities.

Position type / expected hours of work

  • This is a full-time position.
  • Business hours with flexibility as required to support operational priorities and project delivery.

Business travel

  • Business travel required to support manufacturing sites, cross-functional collaboration, and deploying solutions at manufacturing sites. 5 - 10% travel with periodic increases during major deployments.

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