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Lonza

Shift leader, HCM

Lonza is hiring a Shift leader, HCM. Level rates it ; you can apply on Lonza.

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  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a mid-level role.
  • Level lists 566 other open roles at Lonza.

AI in this role

 

Job Title: Shift supervisor HCM

Location: Rewari, India

We are seeking a highly motivated Shift Supervisor to ensure smooth, efficient, and high‑quality operations in capsule manufacturing. In this role, you will oversee production activities, optimize machine parameters, drive process improvements, and collaborate cross‑functionally to enhance productivity, yield, and safety performance.

What you will get:

  • The opportunity to play a critical role in maximizing productivity, quality, and equipment performance across capsule manufacturing processes.

  • A hands-on position where you influence end‑to‑end production flow, process improvements, and operator capability development.

  • Collaboration with Production, Engineering, Maintenance, and Quality teams to drive lean transformation and operational excellence.

  • Ownership of continuous improvement initiatives such as yield improvement, waste reduction, and standardized work practices.

  • A work environment committed to safety, GMP compliance, people development, and innovation in manufacturing processes.

What you will do:

  • Ensure all machine processing parameters and measuring points are always aligned with defined specifications and escalate deviations promptly.

  • Define and maintain “golden parameters” for key equipment such as HCM, I-Box, and Borsor systems across repetitive changeovers.

  • Coordinate with shift leaders to ensure smooth production flow and adherence to SOPs.

  • Verify and monitor GMS (Gauge Measurement System) quality checks, ensuring timely completion and compliance with specifications.

  • Ensure machine conditions consistently meet operational standards.

  • Lead process and people transformation using lean and Six Sigma methodologies, including SMED for faster changeovers.

  • Maintain in‑process quality controls and follow up on system compliance at all times.

What we are looking for:

  • Diploma in Mechanical Engineering (required).

  • More than 3 years of experience in production operations, preferably in capsule manufacturing or similar continuous‑process environments.

  • Strong understanding of machine parameters, process conditions, and equipment performance optimization.

  • Hands‑on experience with HCM, I‑Box, Borsor, or similar production machinery.

  • Strong analytical and troubleshooting skills with the ability to rapidly resolve process issues.

  • Experience with lean tools such as SMED, Six Sigma, or autonomous maintenance methods.

  • Strong communication and coordination skills, with the ability to collaborate effectively across functions.

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.

How we rate this

Shift leader, HCM at Lonza rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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