AI-Enabled Digital Manufacturing Engineer – Continuous Improvement

Mars UK; Lewisburg (OH); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Career growth opportunities

Learning & development

Job summary

Mars Royal Canin in Lewisburg, Ohio, seeks a Digital Manufacturing Engineer – Continuous Improvement to lead the Riobot deployment on the plant floor, integrating the AI-enabled solution into daily workflows and capturing site-specific knowledge.

You will work with Operations, Maintenance, Engineering, and Education and Training teams to ensure successful adoption, training, and ongoing optimization of Riobot’s capabilities within the manufacturing environment.

Qualifications

• Bachelor’s degree or equivalent relevant work experience.
• Proficiency with Microsoft Office and data analysis or visualization tools such as Power BI or Python.
• Strong communication skills, with the ability to train, coach, and support end users.
• Ability to collaborate effectively across Operations, Maintenance, Engineering, Education and Training, and other cross-functional teams.
• An analytical, problem-solving mindset with an understanding of manufacturing processes; knowledge of the Dry Petcare process is a plus.
• Technical knowledge of electrical or mechanical systems and the ability to validate troubleshooting information.
• Experience supporting digitalization initiatives, manufacturing technology projects, or AI deployments is preferred.
• Project management experience, including the ability to prioritize, synthesize information, and act on user feedback.
• Experience with MSE Manufacturing or a comparable manufacturing excellence system is preferred.

Responsibilities

• Lead and manage the local deployment of Riobot, ensuring timely execution, milestone tracking, and regular progress reporting to site leadership and regional and global Riobot teams.
• Establish, monitor, and report key performance indicators related to Riobot adoption, user satisfaction, operational efficiency, and downtime reduction.
• Track critical issues and elevate them to regional or global support teams when needed.
• Coordinate closely with Operations, Maintenance, Education and Training, and regional and global Riobot teams to align the deployment with daily workflows and share best practices.
• Build excitement and adoption by clearly communicating Riobot’s value to local stakeholders and incorporating Riobot training into onboarding and development processes.
• Support pilot testing of new Riobot features and validate that the functionality meets the needs of the manufacturing site.
• 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, helping them confidently and effectively use Riobot.
• Promote continuous improvement by gathering and analyzing stakeholder feedback to identify challenges and improve the Riobot user experience.
• Translate local needs and user feedback into clear, actionable recommendations that strengthen the solution.
• 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

Communication

Collaboration

Data analysis

Project management

Education

Bachelor's degree or equivalent

Tools

Power BI

Python

Microsoft Office

Job description

Mars Royal Canin in Lewisburg, Ohio, seeks a Digital Manufacturing Engineer – Continuous Improvement to lead the Riobot deployment on the plant floor, integrating the AI-enabled solution into daily workflows and capturing site-specific knowledge.

You will work with Operations, Maintenance, Engineering, and Education and Training teams to ensure successful adoption, training, and ongoing optimization of Riobot’s capabilities within the manufacturing environment.