Shift Manager - Foods Job in Lahore | Unilever

Unilever is a global business whose products are used by 3.4 billion people in over 190 countries. Its purpose is to make sustainable living commonplace, and it works in an inclusive, collaborative, and flexible environment.

Unilever is hiring a Shift Manager for its Foods factory in Lahore. You will drive manufacturing operations to the agreed plan on volume, cost, safety, quality, and other KPIs. You will lead the shop floor team and work to improve processes and reduce waste.

Key Responsibilities

• Plan making and packing operations on the floor to hit shift targets for volume, quality, output reliability, cost, and safety.
• Receive chemical and packaging materials.
• Organize and control labor (operators, technicians, and contract workers) in terms of numbers and skills.
• Monitor material consumption and yield, and reduce waste.
• Minimize material variance through optimal use of chemicals and packaging and accurate record keeping.
• Supervise weekly and monthly stock counts and general Fourth Shift transactions.
• Ensure workers wear the right protective clothing and follow safety, health, and environmental rules.
• Drive autonomous maintenance activities on the shop floor.
• Support best practices such as TPM and HACCP, and act on audit recommendations.
• Identify skill gaps and organize training for workers.
• Improve operations continuously by finding areas for process development.

Requirements

• BSc in Engineering.
• 2 to 4 years of experience in operations or production in the FMCG or manufacturing industry.

Skills

Technical Skills

• Understanding of HSE (health, safety, and environment)
• Technical soundness and a passion for engineering
• TPM, HACCP, and autonomous maintenance
• Material yield and variance control
• Stock counts and Fourth Shift transactions

Soft Skills

• Excellent communication and problem solving
• Growth mindset
• Leadership, with personal accountability and an owner’s mindset
• Consumer focus and humility
• Agility and continuous learning