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Novartis

Global pharmaceutical company delivering science-based innovations

Data Management & Infrastructure Manager

Data ManagementConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, Italy€44.1k - €81.9kIn-person

About the Job

Requirements

  • A university degree in Business, Life Sciences, Mathematics, Statistics, Computer Science, Engineering, Analytics, or a related technical field is required.
  • At least 5 years of experience in data architecture, master data management, or enterprise data strategy is required.
  • Experience as a Data Product Owner, managing business requirements, features, user stories, acceptance criteria, and cross-functional product delivery is required.
  • Strong knowledge of pharmaceutical data domains, including commercial, patient services, market access, digital, medical, and omnichannel data ecosystems, is required.
  • Understanding of the pharmaceutical regulatory environment, industry standards, and the separation of promotional and non-promotional activities and data is required.
  • Proven ability to drive data strategy, enable new datasets, and deliver automation, optimization, and change management initiatives is required.
  • Expertise in SQL and data management is required; knowledge of Python or R, data engineering concepts, data governance and quality tools, and data platforms is also required.
  • English is required.

Responsibilities

  • Own and optimize the country Data, Analytics and Platforms 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 through collaboration with internal and external stakeholders.
  • Implement, monitor, and continuously improve data quality controls, resolving data issues and strengthening trust in data.
  • Support adherence to data privacy and promotional/non-promotional standards by ensuring appropriate data access models.
  • Contribute to data policies and documentation, including data dictionaries, lineage descriptions, and usage guidelines.
  • Maintain and enhance the data layer supporting reporting, dashboards, analytics, and AI/GenAI use cases, ensuring consistency and data readiness.
  • Perform data validation and root-cause analysis for anomalies in reports or dashboards.
  • Enable new analytics and AI/GenAI use cases by ensuring data readiness for country-priority pilots and scaled solutions.
  • Partner with internal and external stakeholders to understand and meet data needs across the product lifecycle.
  • Support vendor and budget management by defining requirements, quality standards, and performance feedback for external data and technology providers, while tracking key data quality, governance, and operational KPIs.

Desired Qualifications

  • Italian is preferred.
  • The posting lists Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, and Waterfall Model as desired skills.

About the Company

Novartis

Global pharmaceutical company delivering science-based innovations

Novartis is a global pharmaceutical company that uses science-based innovations to develop treatments and improve patient outcomes worldwide. Its products are medicines developed through research and development to address various diseases, aiming to reach nearly 1 billion people. The company differentiates itself by large-scale investment in R&D, a global presence with a diverse workforce, and a clear mission to Reimagine Medicine, focusing on meeting the changing needs of patients. Its goal is to improve quality of life and extend life expectancy by delivering meaningful therapies through its research and development efforts.

Company size
10,001+
Company stage
IPO
Headquarters
Basel, Switzerland
Founded
1970

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