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)Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Technology, Data Management, or related discipline
- Advanced degree
- 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
- 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
- Experience managing data governance, compliance, privacy, security, risk management, and regulatory requirements
- Strong stakeholder management and leadership experience across business, technology, governance, and executive teams in global matrix organizations
- Experience with modern data and AI ecosystems and platforms (e.g., Databricks, Snowflake, Collibra, Ataccama, Immuta, Reltio, Power BI, GenAI/AI-ML)
Novartis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.
-
Healthcare Strength — Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
-
Retirement Support — Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
-
Parental & Family Support — Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.
Novartis Insights
What We Do
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.
