Major accountabilities:

• Design and development of highly scalable, robust, reusable and maintainable Analytics and Machine Learning solutions for the Supply Chain organization across multiple strategic initiatives.
• Participate in fit-gap workshops, providing effort estimates and solution proposals.
• Develop and maintain code repositories, responding quickly to bug reports and security vulnerabilities.
• Collaborate extensively with colleagues across Security, Compliance, Engineering, Project Management and Product Management.
• Drive data enablement and build digital products/solutions according to business priorities and technology architects' alignment.
• Contribute towards major Automation initiatives leveraging Artificial Intelligence and Machine Learning , Cloud Migration, Data Quality improvement and business process simplification.
• Ensure solutions adhere to architectural and development standards, best practices, and the Data and Analytics strategy.

Key performance indicators:

• Delivery on agreed KPIs including business impact
• Launch of innovative technology solutions across Novartis at scale
• Business impact and value generated from DDIT solutions
• Adoption and development of Agile Productization and DevOps practices
• Operations stability and effective risk management
• Feedback on customer experience
• Applications adherence to ISC requirements and are audit ready.

Minimum Requirements:
Work Experience:

• 8+ years of prior programming experience in a professional environment, building applications across platforms.
• Experience in working with very complex landscape and various integration capabilities.
• Experience in customer facing IT roles
• Strong data engineering fundamentals in data management, ETL and data analysis.
• Strong hands-on exposure in Data & Analytics solutions including Artificial Intelligence and Machine Learning projects.
• AWS certification is preferred but not mandatory.

Skills:

• Highly proficient in Data and Analytics technology and solutions.
• Excellent exposure in various Machine Learning use cases such as demand forecasting, spend forecasting, inventory optimization, route optimization, lead time prediction, recommendation and optimization algorithms.
• Experience in handling external datasets such as weather data, traffic data, flight schedule data etc.
• Hands-on exposure with various AWS services.
• Excellent working experience with data warehouse, data lake, lake house.
• Exposure in SAP S/4 HANA, SAP BW/4HANA would be preferred but not mandatory.
• Hands-on expertise in: AWS services, SQL, Python, Databricks,  Snowflake and Power BI.
• Proficient in using: Jira, Confluence, GitHub, Bitbucket, SAP Solution Manager.
• Excellent understanding of Supply Chain business process and KPIs would be preferred.
• Ability to learn new technologies and functional topics in a very short period.
• Ability to align complex technical topics across global IT and Business teams.
• Good grasp of the impacts and opportunities that data and technology will create for Operations.

Languages :

• English.