Modernize platforms using cloud-native architectures, application programming interfaces, data products, semantic layers, and intelligent automation.
Establish engineering standards, governance, and reusable components across data, analytics, Artificial Intelligence, and integration platforms.
Drive operational excellence across enterprise platforms through automation, monitoring, lifecycle management, and scalable self-service capabilities.
Partner with Enterprise Architecture to define technology strategies, modernization roadmaps, and secure, compliant, scalable architectures.
Scale emerging Artificial Intelligence and Generative Artificial Intelligence solutions into responsible, governed, enterprise-grade products.
Align business, technology, executive, and vendor stakeholders around investments, roadmaps, risks, governance, and measurable value.
Build and mentor high-performing teams while strengthening capabilities across Artificial Intelligence, data, analytics, and cloud technologies.
Essential Requirements
12–15+ years of experience in data and analytics, artificial intelligence, product engineering, or digital technology leadership.
Proven success delivering enterprise-scale data, analytics, artificial intelligence, and Generative Artificial Intelligence products through adoption.
Experience leading global, cross-functional teams of engineers, architects, data scientists, and product managers within matrix organizations.
Expertise in cloud platforms, data engineering, machine learning operations, and modern data and analytics ecosystems.
Experience with enterprise data and analytics platforms, including AWS, Databricks, Snowflake, Collibra, or similar technologies.
Demonstrated experience modernizing platforms using cloud-native architectures, data products, application programming interfaces, and self-service capabilities.
Strong track record in rapid prototyping, minimum viable product development, and scaling innovative solutions into production environments.
Experience managing complex programs, strategic vendors, technology investments, and senior stakeholder relationships.
Desirable Requirements
Master's degree in computer science, Engineering, Data Science, or a related field.
Experience within pharmaceutical, healthcare, life sciences, or commercial analytics environments.
Commitment to Diversity and Inclusion
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message
Skills Desired
Budget Management, Business Acumen, Influencing Skills, Project Management, Risk Management, Service Delivery Management, Strategic Planning
