Onsite Digital Transformation Engineer – Manufacturing

Mars Incorporated; Columbus (OH); On-site; USD 37,914 - 53,999; Full time

Benefits offered by this job

Medical, Vision, and Dental

Up to 6% 401(k) match

Vacation time

Tuition reimbursement

Short/Long-Term Disability

18 weeks parental leave

Job summary

Mars Petcare in Columbus, OH is seeking a Digital Innovation Engineer to drive digital transformation across manufacturing processes. You will implement and optimize digital solutions to improve production efficiency and quality while collaborating with IT and engineering teams.

The role emphasizes IoT and data analytics, MES integration, and cross-functional training to ensure successful deployments and continuous improvement in a fast-paced environment.

Qualifications

• Minimum 3+ years implementing digital solutions in manufacturing or similar environments.
• Strong automation and data analytics understanding with project management experience.
• Proficiency in MS Office and email; able to document and communicate clearly.

Responsibilities

• Collaborate with cross-functional teams to understand processes and identify digital transformation opportunities.
• Develop digital implementation plans aligned with MES and visualization software.
• Evaluate and implement IoT devices, sensors, and data analytics tools for production.
• Establish data collection and management processes to enable optimization.
• Monitor performance of digital systems and coordinate improvements with IT/engineering.
• Train associates on new digital or manufacturing processes and changes.

Skills

Automation

Data analytics

Project management

MS Office & email

Education

Bachelor's degree in Information Technology, Computer Science, Engineering

Tools

PowerBI

Weaver

Job description

Mars Petcare in Columbus, OH is seeking a Digital Innovation Engineer to drive digital transformation across manufacturing processes. You will implement and optimize digital solutions to improve production efficiency and quality while collaborating with IT and engineering teams.

The role emphasizes IoT and data analytics, MES integration, and cross-functional training to ensure successful deployments and continuous improvement in a fast-paced environment.