Director Data Products, Platform Innovation & Adoption

Novartis is hiring a Director Data Products, Platform Innovation & Adoption in Hyderabad, India. Level rates it ; you can apply on Novartis.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Databricks, data strategy and data governance among its tools and skills.
Level classes it as an executive role.
Novartis has 859 other open roles on Level.

AI in this role

Lead the strategy, governance, and operations of enterprise data products and AI-ready data foundations.

Databricks

data-strategydata-governancegenaidata-meshplatform-engineering

Job Description Summary

Lead the strategy, governance, innovation, adoption, and operations of Enterprise Data Products, AI-ready Data Foundations, Data Sharing, and Data & Analytics Platforms across Novartis. Drive the delivery of trusted, compliant, reusable, and interoperable data capabilities that accelerate Analytics, GenAI, Agentic AI, and digital transformation while maximizing business value. Partner across business, architecture, governance, engineering, security, and vendor ecosystems to scale enterprise data foundations and industrialize innovative platform capabilities, products, and accelerators.

Job Description

Major Accountabilities

Define and execute enterprise data product, data sharing, and platform strategies aligned with Data Mesh, Lakehouse, AI, and enterprise architecture principles
Lead platform innovation initiatives across Data, Analytics, Integration, GenAI, Agentic AI, Semantic Layer, Knowledge Graph, and automation technologies, driving incubation and industrialization of reusable capabilities.
Establish AI-ready data foundations by enabling metadata management, data quality, lineage, observability, semantic context, and machine-readable data contracts.
Drive enterprise data sharing and interoperability through data marketplaces, zero-copy sharing, federated access models, semantic standards, and governed data exchange architectures.
Ensure governance, compliance, and risk management across data, analytics, integration, and AI platforms, embedding security, privacy, audit, and regulatory requirements into platform operations.
Build strategic partnerships with business and technology stakeholders to align priorities, shape demand, guide roadmaps, and translate platform investments into measurable business outcomes.
Drive adoption, evangelization, and value realization of enterprise data products and platform capabilities through stakeholder engagement, enablement programs, and performance measurement.
Lead continuous improvement and vendor ecosystem management to enhance platform reliability, scalability, cost efficiency, operational excellence, and innovation outcomes.

Minimum Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, Data Management, or a related discipline; advanced degree preferred.
15+ years of experience in Enterprise Data, Analytics, Integration Platforms, Data Products, Data Sharing, or Digital Platform environments.
Proven experience in enterprise-scale solution architecture, platform transformation, product leadership, and technology innovation
Strong expertise in Data Mesh, Data Lakes, Lakehouse architectures, Enterprise Data Products, and AI-ready data foundations
Hands-on knowledge of data sharing frameworks, Data Marketplaces, Data Contracts, Semantic Layers, Knowledge Graphs, and federated governance models
Demonstrated experience managing data governance, compliance, privacy, security, risk management, and regulatory requirements in complex organizations.
Strong stakeholder management and leadership experience across business, technology, governance, and executive teams within global matrix organizations
Experience with modern data and AI ecosystems, including platforms such as Databricks, Snowflake, Collibra, Ataccama, Immuta, Reltio, Power BI, and GenAI/AI-ML technologies

Why Novartis?

Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us!
Learn more here:

https://www.novartis.com/about/strategy/people-and-culture

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.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:
https://talentnetwork.novartis.com/network

Skills Desired

Databricks Platform, Snowflake (Platform)

How we rate this

Director Data Products, Platform Innovation & Adoption at Novartis rates 65 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Director Data Products, Platform Innovation & Adoption 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 July 31, 2026.
Seniority: executive.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data StrategyData GovernanceGenAIData MeshPlatform EngineeringDatabricks

Questions you could be asked

Tell me about a project where data strategy was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where genai was part of your work. What did you do?
Tell me about a project where data mesh was part of your work. What did you do?
Tell me about a project where platform engineering was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Strategy, Data Governance, GenAI, Data Mesh, and Platform Engineering. 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.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker