Associate Director, Solution Delivery Analytics Products

About the role

Novartis is hiring an Associate Director for its Solution Delivery Analytics Products team in Hyderabad, India, with relocation support available. The role leads the delivery and scaling of enterprise Data, Analytics and Artificial Intelligence products that improve decision-making, accelerate innovation and enhance customer experiences across global markets. It sits at the intersection of analytics, product engineering, cloud technologies and emerging AI capabilities, working with business, technology and architecture leaders.

Key responsibilities

• Lead the rollout, adoption and governance of scalable Data, AI and analytics products across global markets.
• Develop analytics product roadmaps covering concept, engineering, launch, adoption, security, compliance and business process change.
• Evaluate, prototype and scale solutions through proofs of concept, minimum viable products and reusable frameworks.
• Modernize platforms with cloud-native architectures, APIs, data products, semantic layers and intelligent automation.
• Establish engineering standards, governance and reusable components across data, analytics, AI and integration platforms.
• Drive operational excellence through automation, monitoring, lifecycle management and scalable self-service capabilities.
• Partner with Enterprise Architecture on technology strategy, modernization roadmaps and secure, compliant architectures.
• Scale emerging AI and generative AI solutions into governed, enterprise-grade products.
• Align business, technology, executive and vendor stakeholders around investments, roadmaps, risks, governance and value.
• Build and mentor high-performing teams and strengthen capabilities in AI, data, analytics and cloud.

Required profile

• 12-15+ years of experience in data and analytics, AI, product engineering or digital technology leadership.
• Proven success delivering enterprise-scale data, analytics, AI and generative AI products through adoption.
• Experience leading global, cross-functional teams of engineers, architects, data scientists and product managers in matrix organizations.
• Expertise in cloud platforms, data engineering, machine learning operations and modern data ecosystems.
• Experience modernizing platforms with cloud-native architectures, APIs and self-service capabilities.
• Track record in rapid prototyping, MVP development and scaling solutions to production.
• Experience managing complex programs, strategic vendors, technology investments and senior stakeholder relationships.
• Desirable: Master's degree in Computer Science, Engineering, Data Science or a related field; experience in pharmaceutical, healthcare, life sciences or commercial analytics.

Required skills

• Enterprise data and analytics platforms such as AWS, Databricks, Snowflake, Collibra or similar.
• Data engineering, machine learning operations and cloud platforms.
• Desirable: budget management, business acumen, influencing, project management, risk management, service delivery management and strategic planning.