Associate Director – Solution Delivery Analytics Products

Novartis is hiring an Associate Director – Solution Delivery Analytics Products in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

databricks

ai-automation

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 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

How we rate this

Associate Director – Solution Delivery Analytics Products at Novartis rates 73 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Associate Director – Solution Delivery Analytics Products is an open job at Novartis.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Hyderabad (Office).
The job was posted on October 7, 2026.
Seniority: executive.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AutomationDatabricks

Questions you could be asked

Tell me about a workflow you automated with AI tools, end to end.
Walk me through how you've used Databricks in your day-to-day work.
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI Automation and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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