Process Digitalisation Engineer

Job Requirements

Job Description

Unique Job Role Process Digitalisation Engineer

Function Upstream

Reporting to Mr Arun Brakash

Business Jewellery ISCM

Band L4

Job Details

We are seeking a self-driven and creative Process Digitalisation Engineer who is passionate about developing innovative, real-world solutions that transform manufacturing efficiency. This role focuses on understanding and optimizing process flows, identifying bottlenecks, and enabling data-driven improvements using real-time data from digitized systems. The ideal candidate has a strong foundation in mechanical design, process innovation and operations research, with a mindset geared toward building scalable and intelligent solutions.

External Interfaces

• Database Management and Web-Hosting support vendors
• Oracle IT team for data integration

Internal Interfaces

• Upstream and Downstream Teams
• Quality teams
• Supply chain and warehouse teams
• Planning and KMS teams

Job Requirements

Education

• Bachelor’s degree in Mechanical/Mechatronics/Production Engineering or related field

Relevant Experience

• 1-2 years in Product development, R&D or process engineering
• Experience in electro-mechanical integrations
• Skillsets in design and simulation tools such as Autodesk Inventor, Solidworks and ANSYS
• Exposure to sensor integration, embedded control loops and IOT solutions is a strong plus

Behavioural Skills

• Strong communication, analytical and problem-solving skills
• Hands-on, iterative mindset for prototyping and testing
• Ability to translate R&D insights into scalable production solutions
• Curiosity-driven with a strong interest in digital transformation of manufacturing

Knowledge

• Strong understanding of jewellery casting process i.e lost wax casting
• Proficiency in using CAD and CAE tools for realising design and validations
• Knowledge on communication protocols and IOT solutions
• Knowledge of process flow optimization, root cause analysis, and Operation research concepts

Project Contributions

Contribution

Outcome

Performance Measure

1. Data-Driven Improvements via Digitization

• 100% real-time visibility all batches in key process across upstream & Downstream
• Early detection of 80%+ deviation trends, reducing quality rework by 15–30%
• 40 % on individual KRA

2. Gold inventory

• 100% real-time visibility of in-process gold inventory across departments
• Improved inventory accuracy to >99.5%, minimizing discrepancies between physical and system stock
• 40 % on individual KRA

Contribution

Outcome

Performance Measure

1. Data-Driven Improvements via Digitization

• 100% real-time visibility all batches in key process across upstream & Downstream
• Early detection of 80%+ deviation trends, reducing quality rework by 15–30%
• 40 % on individual KRA

2. Gold inventory

• 100% real-time visibility of in-process gold inventory across departments
• Improved inventory accuracy to >99.5%, minimizing discrepancies between physical and system stock
• 40 % on individual KRA

1. Job scheduling and loading

• Application of OR/Lean concepts that help in reducing lead time and or improve quality, or provide an optimised allocation
• 15–25% reduction in overall lead time through optimized scheduling and workload distribution
• 20 % on individual KRA