Director Data Products, Platform Innovation & Adoption

About the role

Novartis is looking for a Director to lead the strategy, governance, innovation, adoption and operations of its Enterprise Data Products, AI-ready Data Foundations, Data Sharing and Data & Analytics Platforms. The role drives trusted, compliant, reusable and interoperable data capabilities that accelerate Analytics, GenAI, Agentic AI and digital transformation, partnering with business, architecture, governance, engineering, security and vendor ecosystems.

Key responsibilities

• Define and execute enterprise data product, data sharing and platform strategies aligned with Data Mesh, Lakehouse, AI and enterprise architecture principles.
• Lead platform innovation across Data, Analytics, Integration, GenAI, Agentic AI, Semantic Layer, Knowledge Graph and automation, incubating and industrializing reusable capabilities.
• Build AI-ready data foundations: metadata management, data quality, lineage, observability, semantic context and machine-readable data contracts.
• Drive data sharing and interoperability through data marketplaces, zero-copy sharing, federated access, semantic standards and governed data exchange.
• Ensure governance, compliance and risk management across data, analytics, integration and AI platforms, embedding security, privacy, audit and regulatory requirements.
• Partner with business and technology stakeholders to align priorities, shape demand, guide roadmaps and measure business outcomes.
• Promote adoption and value realization through stakeholder engagement, enablement programs and performance measurement.
• Lead continuous improvement and vendor ecosystem management.

Required profile

• 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.
• Demonstrated experience managing data governance, compliance, privacy, security, risk and regulatory requirements in complex organizations.
• Strong stakeholder management and leadership across business, technology, governance and executive teams in global matrix organizations.

Required skills

• Data Mesh, Data Lakes, Lakehouse architectures, Enterprise Data Products and AI-ready data foundations.
• Data sharing frameworks, Data Marketplaces, Data Contracts, Semantic Layers, Knowledge Graphs and federated governance.
• Modern data and AI platforms such as Databricks, Snowflake, Collibra, Ataccama, Immuta, Reltio, Power BI and GenAI/AI-ML technologies.