Data Management
Pubblicato il 12-10-2026 - Novartis in Monza
Overview
In this role you will own and optimize the country data foundation to deliver a single, trusted view across key data domains. You will partner with stakeholders to ensure data, platforms and reporting solutions align with international standards and governance. You’ll enable analytics, AI/GenAI use cases, and data-driven decision making while safeguarding data privacy and compliance. This position sits in the Execution Excellence unit and offers impact across Commercial, Value & Access, and Medical teams. You will drive data strategy and enable scalable data capabilities for the country.
Responsabilità Own and optimize the country Data, Analytics and Platforms data foundation; deliver a trusted view of business-critical data
Define and govern data ingestion, transformation, aggregation, and master data management
Coordinate data integration and flows to ensure analytics-ready data
Align with global governance, architecture, privacy, compliance, and AI ethics requirements
Implement and monitor data quality controls; resolve data issues
Support data privacy and promotional/non-promotional standards via access models
Contribute to data policies, dictionaries, lineage, and usage guidelines
Maintain and enhance data layer for reporting, dashboards, analytics, and AI/GenAI use cases
Perform data validation and root-cause analysis for anomalies
Enable analytics and AI use cases by ensuring data readiness for pilots and scaled solutions
Partner with stakeholders to meet data needs across product lifecycle
Support vendor and budget management by defining requirements and tracking KPIs
Requisiti fondamentali University degree in a technical field
5+ years in data architecture, master data management, or enterprise data strategy
Experience as Data Product Owner, managing requirements and delivery
Strong knowledge of pharma data domains and regulatory environment
Proven ability to drive data strategy and deliver automation and change management
Expertise in SQL and dat