About the Role
Major Accountabilities
SC Automation Lead, Data Insights and Analytics:
- Develop and execute a strategic roadmap for implementing automation solutions within the supply chain, with a specific focus on leveraging data and analytics
- Lead the design and implementation of data-driven automation projects, utilizing advanced analytics and machine learning techniques to drive efficiency and cost savings
- Collaborate with cross-functional teams to identify opportunities for automation and process optimization within the supply chain, including Artworks, Master Data, Product Life Cycle inventory management, WDL etc.
- Collaborate with DDIT team to select and implement appropriate automation technologies and tools, ensuring seamless integration with existing ecosystem and processes
- Manage automation projects from initiation to successful implementation, ensuring timely delivery, effective resource utilization, and high-quality output
- Monitor the performance and effectiveness of implemented automation solutions, conducting regular analysis and providing recommendations for enhancements and improvements
- Provide guidance and support to supply chain teams and stakeholders in adopting and effectively utilizing automation solutions, ensuring proper training and change management & Collaborate with stakeholders to establish and maintain strong partnerships, fostering a culture of automation and continuous improvement within the supply chain organization
- Stay updated on emerging trends, advancements, and best practices in supply chain automation and data analytics, actively identifying opportunities for innovation and improvement within the organization
- Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes
- Ensure Training on relevant procedures before taking up any GxP activities
Ideal Background (State the preferred education and experience level)
Education (minimum/desirable):
Post-Graduation in Technology / Engineering
Experience:
- Experience (8 – 12 years)
- Strong experience in Business development and project management in BI & advanced analytics / Data Science
- Proven expertise in leading automation initiatives preferably within the supply chain, with a focus on leveraging data and analytics for optimization
- Exposure or experience in advanced analytics / Data Science
- Holistic understanding and expertise in supply chain and associated areas
- Pharma industry experience will be added advantage
- Expertise in estimating, planning and scoping of projects
- Strong understanding of program management principles and processes
- Strong analytical and problem-solving abilities, with a data-driven and detail-oriented approach
- Strong leadership skills, with the ability to influence and drive change within the organization
Role Requirements
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
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