Operations AI and Advanced Analytics Engineer

Roquette; Midland (MI); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive pay

Annual performance bonus

6% company retirement contribution

12 paid company holidays per year

12 weeks maternity leave (paid)

Student loan repayment assistance

Tuition reimbursement

Job summary

Roquette Group seeks an Operations AI & Advanced Analytics Engineer to serve as a global SME in AI, analytics, modeling and digital solutions for Operations. You will identify opportunities and develop, deploy and sustain AI/ML-driven applications, models and optimization across the manufacturing network.

The role requires collaboration with sites and operations teams, translating challenges into technical requirements, leading diagnostics, and building dashboards and intelligent systems to

Qualifications

• Minimum of 5 years in manufacturing, engineering, analytics or related industrial environment.
• Experience developing and deploying advanced analytical models or AI solutions.
• Experience collaborating across sites, functions and multidisciplinary teams.
• Experience with process improvement, optimization and operational problem-solving in manufacturing.
• Lean Six Sigma or digital transformation certifications preferred.

Responsibilities

• Identify opportunities for AI, advanced analytics, simulation and optimization with site teams.
• Translate business challenges into technical requirements and measurable success criteria.
• Lead diagnostics and root-cause investigations with process experts and engineers.
• Develop, validate and maintain statistical, simulation, and hybrid process models.
• Design, test, deploy and support ML and analytics solutions for prediction and optimization.
• Build AI-enabled applications, dashboards and digital solutions to improve operations.
• Monitor model performance and improve accuracy and impact.
• Provide technical leadership and SME across AI, analytics and digital solutions.
• Mentor engineers and analysts, promoting reusable solutions.
• Lead workstreams with compliance to cybersecurity, governance and data quality.

Skills

AI and advanced analytics

Modeling

Operational optimization

Leadership

Mentoring

Education

Bachelor's degree in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or related field

Job description

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.

Location

This position may be located at any of the following locations: Midland, MI; Plaquemine, LA; Wilmington, DE; Institute, WV; Keokuk, IA; Gurnee, IL; Newark, DE

Compensation

The current salary range for this role is estimated to be $100,000-150,000. In addition, this position may also be eligible to earn performance-based incentive compensation. The specific compensation offered to a candidate will be influenced by a variety of factors including but not limited to skills, qualifications, experience and location.

What We Offer

• A highly collaborative team environment with ample room for exponential career growth.
• Competitive pay, annual performance bonus, comprehensive benefits, 6% company retirement contribution, and professional development opportunities.
• Generous paid time off and 12 annual paid company holidays.
• 12 weeks 100% paid maternity leave, and up to 4 weeks 100% paid parental leave (including adoption/surrogacy/foster care leave) for non-birthing parents.
• Student loan repayment assistance and tuition reimbursement program for select roles.
• Annual wellness benefit and wellness centered programs focused on your health needs.

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.

AAP/EEO Statement

Roquette is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. “AAP, EEO, Drug-Free Workplace.”

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.