Operations AI and Advanced Analytics Engineer

Roquette • Midland, TX

1d

About The Position

Roquette is seeking an Operations AI and Advanced Analytics Engineer to serve as a global subject matter expert in AI, advanced analytics, modeling, and digital solutions for Operations. The role identifies operational improvement opportunities and develops, deploys, and sustains AI- and machine-learning-driven applications, analytical models, and optimization solutions to improve safety, quality, reliability, productivity, capacity, cost, and sustainability across the manufacturing network.

The role partners with manufacturing sites and Operations teams, translating business challenges into technical requirements and measurable success criteria. It provides technical leadership, supports model and application deployment and ongoing improvement, and builds technical capabilities across Operations. The position combines office-based work with time in manufacturing and plant environments and requires business travel to manufacturing sites. It may be based in Midland, Michigan; Plaquemine, Louisiana; Wilmington, Delaware; Institute, West Virginia; Keokuk, Iowa; Gurnee, Illinois; or Newark, Delaware.

Requirements

• Bachelor's degree in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or a related technical discipline.
• At least 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 to address operational challenges.
• Experience collaborating across sites, functions, and multidisciplinary teams.
• Ability to travel for site support; business travel is stated as 5–10%, with periodic increases during major deployments.

Nice To Haves

• Advanced analytics, data science, digital transformation, Lean Six Sigma, or related certifications.
• Experience with process improvement, optimization, and operational problem-solving in manufacturing environments.

Responsibilities

• 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.
• Travel to manufacturing sites to support site operations, cross-functional collaboration, and solution deployment.

Benefits

• Competitive pay and annual performance bonus.
• Comprehensive benefits.
• 6% company retirement contribution.
• Professional development opportunities.
• Generous paid time off and 12 annual paid company holidays.
• 12 weeks of 100% paid maternity leave.
• Up to 4 weeks of 100% paid parental leave for non-birthing parents, including adoption, surrogacy, and foster care leave.
• Student loan repayment assistance and tuition reimbursement for select roles.
• Annual wellness benefit and wellness-centered programs focused on employee health needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior