1. Technology Implementation:

- Coordinate and lead for all existing and future Industry 4.0 Use cases under implementation or planned in future as per guidance from Head, Digitalisation and Automation.
- Identify, evaluate, and implement new Industry 4.0 technologies to enhance operational processes and efficiency.
- Coordinate with IT, engineering, operations and other cross functional teams to ensure successful deployment and integration of Industry 4.0 solutions.

2. Data Management and Analytics:

- Develop and implement data management strategies to ensure accurate and reliable data collection, storage, and analysis.
- Utilize advanced analytics systems to identify trends, opportunities, and areas for improvement within operational processes and solve business problems.
- Establish and maintain digital dashboards and reporting systems to track project performance and key metrics.

3. Stakeholder Collaboration:

- Work closely with key stakeholders, including operations, QA, IT, and engineering teams, to align Industry 4.0 efforts with business needs.
- Communicate project progress, challenges, and successes to senior management and other relevant stakeholders.
- Foster robust relationships with external vendors and technology partners to ensure access to cutting-edge Industry 4.0 solutions.

4. Leadership and Strategy:

- Work with Head, Digitalization and Automation to develop and implement a strategic roadmap for Industry 4.0 technology initiatives aligned with the company's overall business objectives.
- Lead the Industry 4.0 Use cases efforts within the operations team, focusing on integrating advanced technologies into existing processes.
- Foster a culture of innovation and continuous improvement through the adoption of Industry 4.0 solutions.

5.



Project Management:

- Oversee and manage all current Industry 4.0 projects, including VR-based training, DPM, DWAT, IoT-based predictive maintenance.
- Plan, execute, and monitor new Industry 4.0 projects, ensuring they are delivered on time, within scope, and within budget.

6. Compliance and Quality Assurance:

- Ensure all Industry 4.0 projects comply with regulatory requirements, such as USFDA, EU GMP, and ISO standards as per project/site requirements.
- Develop and maintain documentation for Industry 4.0 projects, including validation protocols, user manuals, and training materials (if required)
- Conduct regular audits and reviews to ensure the effectiveness and reliability of Industry 4.0 systems.

7. Continuous Improvement:

- Monitor industry trends and advancements in Industry 4.0 technologies to identify opportunities for future projects.
- Review the recent updates from World Economic Forum, review their white paper and share the updates to reporting Manager as and when required.
- Work with manager to prepare a roadmap for potential Lighthouse Manufacturing Unit in Amneal.
- Provide training and support to operations teams on new Industry 4.0 tools and processes.

Key Projects and Future Initiatives:

- Current Projects:
- VR-Based Training: Implementation of virtual reality training modules for enhanced learning and skill development.




- DPM (Digital Performance Management): Deployment of digital tools to track and optimize performance metrics.
- DWAT (Digital Work Instruction and Task): Utilization of digital work instructions to streamline operations and ensure consistency.
- IoT-Based Predictive Maintenance: Integration of IoT devices for real-time monitoring and predictive maintenance of equipment.
- NLP-Based RCA Assistance: Application of natural language processing for root cause analysis and problem-solving.
- Gen AI Solutions: Implementation of generative AI solutions for process optimization and decision-making.
- Alarm Trending: Deployment of alarm trending systems to identify and address operational issues proactively.

- Future Initiatives:

- Digital Twin Technology: Development of digital twins for real-time monitoring and simulation of manufacturing processes.
- AI and Machine Learning: Implementation of AI and machine learning algorithms for process optimization and quality control.
- Robotic Process Automation (RPA): Deployment of RPA solutions to automate repetitive tasks and enhance operational efficiency.
- Blockchain Technology: Exploration of blockchain applications for secure and transparent supply chain management.
- Augmented Reality (AR) and Virtual Reality (VR): Utilization of AR and VR technologies for maintenance, troubleshooting, and remote assistance.

1. Education:

- Bachelor's/Master's degree in Engineering, Information Technology, or a related field.

2. Experience:

- Minimum 10 years of experience in Idustry 4.0 projects within the pharmaceutical or manufacturing industry.
- Experience with Industry 4.0 technologies , such as VR, IoT, AI, NLP, and blockchain.

📌 Senior Executive, Industry 4.0 (Ahmedabad)
🏢 Amneal Pharmaceuticals
📍 Ahmedabad