Associate Director – Solution Delivery Analytics Products

Novartis; Hyderabad; Hybrid; INR 3,500,000 - 7,000,000; Full time

Job summary

Novartis is seeking Associate Director – Solution Delivery Analytics Products to lead delivery and scaling of enterprise Data & AI products across global markets, blending analytics, product engineering, cloud technologies, and AI capabilities. You will influence modernization and governance while partnering with senior leaders.

Responsibilities include developing analytics product roadmaps, prototyping next-gen solutions, enabling platform modernization with cloud-native architectures, and

Qualifications

• 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 AI products through adoption.
• Experience leading global, cross-functional teams of engineers, architects, data scientists, and product managers within matrix organizations.

Responsibilities

• Lead rollout, adoption, and governance of scalable Data, Artificial Intelligence, and analytics products across global markets.
• Develop advanced analytics product roadmaps spanning concept, engineering, launch, adoption, security, compliance, and business process change.
• Evaluate, prototype, and scale next-generation solutions through proofs of concept, minimum viable products, and reusable frameworks.
• 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 AI 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.

Skills

Data analytics leadership

Product engineering leadership

Cross-functional collaboration

Cloud platforms

MLOps / AI productization

Stakeholder management

Education

Master's degree in computer science, engineering, data science, or related field

Tools

AWS

Databricks

Snowflake

Collibra

Job description

Job Description Summary

Internal Job Title: Assoc. Dir. DDIT US&I Sol.Del. Data
#LI-Hybrid
Location: Hyderabad, India
Relocation Support: Yes
What if you could help shape the future of Data, Analytics, and Artificial Intelligence in healthcare while delivering innovative solutions that improve millions of lives worldwide? As an Associate Director – Solution Delivery Analytics Products at Novartis, you will lead the delivery and scaling of enterprise Data & AI products that empower better decisions, accelerate innovation, and enhance customer experiences across global markets. Working at the intersection of analytics, product engineering, cloud technologies, and emerging Artificial Intelligence capabilities, you will drive transformational initiatives from concept to enterprise adoption while collaborating with business, technology, and architecture leaders. This is an exciting opportunity to influence the future of data-driven healthcare, build high-impact solutions, and help Novartis reimagine medicine for patients around the world.

Job Description

Key Responsibilities

• Lead the rollout, adoption, and governance of scalable Data, Artificial Intelligence, and analytics products across global markets.
• Develop advanced analytics product roadmaps spanning concept, engineering, launch, adoption, security, compliance, and business process change.
• Evaluate, prototype, and scale next-generation solutions through proofs of concept, minimum viable products, and reusable frameworks.
• 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 [e-mail] 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