Director Data Products, Platform Innovation & Adoption
At a glance
Director-level Data Leadership role at Novartis. Hyderabad · full-time.
Pay not stated Data Leadership salary
dataroles summary, based on the employer's posting.
What you'll do
- Set direction for enterprise data products, data exchange and platforms around Data Mesh, Lakehouse and architecture standards
- Turn platform ideas into reusable capabilities across AI, analytics, integration, semantic layers and automation
- Build AI-ready foundations with metadata, quality checks, lineage, observability and machine-readable data agreements
- Enable governed data exchange through marketplaces, federated access and shared semantic standards
- Align stakeholder priorities and roadmaps, grow adoption, measure value and improve reliability, cost efficiency and vendor performance
What you bring
- A bachelor's degree in computer science, engineering, information technology or another related discipline
- At least fifteen years in enterprise data, analytics, integration platforms, data products or another listed area
- Experience spanning large-scale architecture, platform transformation, product leadership and technology innovation
- Strong expertise in Data Mesh, data lakes, Lakehouse architecture, data products and AI-ready foundations
- Experience handling governance, privacy, security, compliance and risk in complex organizations
Who this fits
This director-level role suits someone who can guide platform strategy and work across business, technology, governance and executive groups in a global matrix. An advanced degree is preferred.
From the employer
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)
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