Data Management & Infrastructure Manager
novartis · Milano
Job description
About the role
The Data Management & Infrastructure Manager acts as the country representative of the Data, Analytics and Platforms team (within the Execution Excellence unit) for the data foundation. The role designs, operates and continuously improves a single, trusted view of business-critical data across Commercial, Value & Access and Medical, in line with international data strategy and governance frameworks, and works closely with local stakeholders so that data, platforms and reporting solutions are fit for purpose.
Key responsibilities
- Own and optimise the country data foundation, delivering a single trusted view of business-critical data across internal and external sources
- Define and govern business rules for data ingestion, transformation, aggregation and master data management in line with enterprise standards
- Coordinate data integration and flows across key platforms, ensuring timely, accurate and analytics-ready data
- Ensure alignment with global data governance, architecture, privacy, compliance and AI ethics requirements
- Implement, monitor and improve data quality controls, resolve data issues and support adherence to data privacy and promotional/non-promotional standards
- Contribute to data policies and documentation, including data dictionaries, lineage descriptions and usage guidelines
- Maintain the data layer supporting reporting, dashboards, analytics and AI/GenAI use cases, validate reports and enable new analytics and AI pilots
- Partner with stakeholders on data needs across the product lifecycle and manage vendor requirements, quality standards and KPIs
Required profile
- University degree in Business, Life Sciences, Mathematics, Statistics, Computer Science, Engineering, Analytics or a related technical field
- 5+ years of experience in data architecture, master data management or enterprise data strategy
- Experience as a Data Product Owner managing requirements, features, user stories and acceptance criteria
- Strong knowledge of pharma data domains (commercial, patient services, market access, digital, medical, omnichannel)
- Understanding of the pharmaceutical regulatory environment and the separation of promotional and non-promotional activities
- Proven ability to drive data strategy, enable new datasets and deliver automation, optimization and change management initiatives
- English required, Italian preferred
Required skills
- SQL and data management
- Knowledge of Python or R and data engineering concepts
- Knowledge of data governance/quality tools and data platforms
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Published 1 settimana fa
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novartis
Milano
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