R&D Process & Systems Excellence Lead

Mars Incorporated; Chicago (IL); On-site; USD 79,000 - 109,000; Full time

Benefits offered by this job

Medical and dental benefits

401k plan

Paid time off

Job summary

Mars Incorporated is seeking a Lead R&D Processes & Work Systems to drive adoption, governance and continuous improvement of our R&D processes across regions. You translate standards into practical routines and build capability for sustainable execution.

The role emphasizes sustaining processes, guiding maturity, and collaborating with data, analytics and technical teams to reinforce an integrated operating model.

Qualifications

• Experience in process improvement, work systems, or operational excellence.
• Strong understanding of governance routines and standard work in matrix environments.
• Ability to translate standards into practical execution and coach teams.
• Exposure to R&D systems, quality expectations, data requirements, or regulated settings preferred.

Responsibilities

• Lead adoption and continuous improvement of R&D processes and work systems.
• Partner with cross-functional teams to implement governance and standard work.
• Track process maturity, adherence and performance indicators and close gaps.
• Coordinate regional integration to sustain global standards in local execution.
• Drive root-cause analysis and practical improvements across processes and data.

Skills

Process improvement

Governance routines

Data requirements & metrics

Cross-functional collaboration

Change management

Education

Bachelor's degree in Engineering, Food Science, Operations, or Business

Job description

Mars Incorporated is seeking a Lead R&D Processes & Work Systems to drive adoption, governance and continuous improvement of our R&D processes across regions. You translate standards into practical routines and build capability for sustainable execution.

The role emphasizes sustaining processes, guiding maturity, and collaborating with data, analytics and technical teams to reinforce an integrated operating model.