AI-Enabled Digital Manufacturing Engineer

Mars, Incorporated and its Affiliates; Lewisburg (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Learning and development support

Career growth opportunities

Competitive compensation

Job summary

Mars, Incorporated and its Affiliates is seeking a Digital Manufacturing Engineer – Continuous Improvement to lead the local deployment of Riobot at the Royal Canin site in Lewisburg, Ohio. You will bridge Operations, Maintenance, Engineering and Education teams with Riobot to embed AI-assisted problem solving on the plant floor.

You will own deployment, training, knowledge capture and validation of Riobot content, while driving adoption, tracking KPIs, and ensuring sustainable integration into

Qualifications

• Bachelor’s degree or equivalent relevant work experience.
• Proficiency with Microsoft Office and data analysis/visualization tools (Power BI, Python).
• Strong communication skills to train, coach and support end users.
• Ability to collaborate across Operations, Maintenance, Engineering, Education and Training, and other teams.
• Analytical, problem-solving mindset with understanding of manufacturing processes; Dry Petcare knowledge is a plus.
• Technical knowledge of electrical or mechanical systems and validating troubleshooting info.
• Experience supporting digitalization initiatives, manufacturing technology projects, or AI deployments.
• Project management experience, prioritization, synthesis of information, and acting on user feedback.
• Experience with MSE Manufacturing or similar manufacturing excellence system preferred.

Responsibilities

• Lead and manage the local deployment of Riobot, ensuring timely execution, milestone tracking, and regular progress reporting to site leadership and regional/global Riobot teams.
• Establish, monitor, and report KPIs related to Riobot adoption, user satisfaction, operational efficiency, and downtime reduction.
• Track critical issues and escalate to regional/global support teams when needed.
• Coordinate with Operations, Maintenance, Education and Training, and Riobot teams to align deployment with daily workflows and share best practices.
• Build excitement and adoption by communicating Riobot’s value and incorporating Riobot training into onboarding and development processes.
• Support pilot testing of new Riobot features and validate functionality meets site needs.
• Document deployment processes, lessons learned, and best practices to support ongoing training and future rollouts.
• Deliver training sessions and hands-on support to operators, technicians, and other site stakeholders.
• Promote continuous improvement by gathering stakeholder feedback to identify challenges and improve the Riobot user experience.
• Translate local needs and user feedback into clear, actionable recommendations.
• Partner with Education and Training teams to align Riobot’s knowledge content with educational programs, operating procedures, best practices, and lessons learned.
• Develop and maintain Riobot’s knowledge base using accurate, site-specific process and troubleshooting information.
• Review and validate Riobot-generated troubleshooting responses to ensure the information is accurate, relevant, and appropriate for the manufacturing environment.

Skills

Strong communication

Cross-functional collaboration

Analytical problem solving

Manufacturing process knowledge

Electrical/Mechanical knowledge

AI deployment experience

Project management

MSE Manufacturing experience

Education

Bachelor’s degree or equivalent relevant work experience

Tools

Power BI

Python

Job description

Mars, Incorporated and its Affiliates is seeking a Digital Manufacturing Engineer – Continuous Improvement to lead the local deployment of Riobot at the Royal Canin site in Lewisburg, Ohio. You will bridge Operations, Maintenance, Engineering and Education teams with Riobot to embed AI-assisted problem solving on the plant floor.

You will own deployment, training, knowledge capture and validation of Riobot content, while driving adoption, tracking KPIs, and ensuring sustainable integration into