Senior Executive, Industry 4.0

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 strong 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.