- The Digital Executive is responsible for maintaining the factory s standards of digital use cases- their deployment, upkeep and innovation in the space.
- They lead value creation through the digital use cases across PQCDSM- productivity (production loss minimization), quality improvement, safety, cost savings.
- All such efforts will tie up with the Factory Scorecard and Digital Transformation Index improvement for the site.
- They play the central role in deployment of new Digital Use Cases communicated centrally at the site- data capturing from field instruments, data analysis, prediction and coordination with respective departments on mitigation. Aligned to this they will provide.
- Teaching, Coaching and Mentoring on Digital Use Cases issues for all leaders and operators within the sourcing unit.
Key Skills and Responsibilities:
- Instrumentation Expertise- Working knowledge of field instruments (temperature, pressure, flow), deep understanding and
- working knowledge of APC, PLC, DCS, SCADA, HMI. Working knowledge of VFDs (Variable Frequency Drives). Knowledge of
- P&IDs, design of instruments. Knowledge of network architecture.
- Robotics- Work experience of robots & cobots preferred.
- Data Analysis & Visualization Tools- Hands-on knowledge and experience of Advance Excel, Power BI, Power Apps (Power
- Automate), SQL, KQL
- Cybersecurity- Basic knowledge of IT-OT, factory LAN Network, Firewalls
- Personal Leadership The Digital Lead must be able to lead engineering improvement using excellent engineering knowledge,
- clear communication and logical thinking.
- Promoting Leadership – The Digital Lead is uniquely placed to support and influence factory teams by digital solutions. They
- must promote the development of effective teams in the course of their work, helping them to retain focus on their goals and
- targets.
- Problem Solving – Has the ability to identify, prioritize and address problems using appropriate digital tools and techniques that
- eliminate recurrence; drives the use of the digital tools within the sourcing unit.
Other Requirements:
- Predictive Data Tools- Artificial Intelligence tools knowledge and experience preferred. basics of machine learning (linear
- regression, logistics regression, supervised/unsupervised learning models, decision trees, random forests)
Professional Qualifications:
- B.Tech. (Electronics & Instrumentation)
- Experience- minimum 5-6 years of work experience
Experience Required:
ESSENTIAL:
- Core Engineering Skills Background in Electrical & Instrumentation.
- Experience of working as part of an extended team within the manufacturing sector.
PREFERRED / DESIRABLE:
- Experience in implementing digital tools in factory settings to improve productivity, quality, safety incidents.
- Experience of manufacturing in a Fast-Moving Consumer Goods Company.
- Experience as a team member within a project Management team with an awareness of project management tools and
- techniques.