Data Management & Infrastructure Manager

Key responsibilities 

• Design, maintain, and evolve the country DAP data foundation, ensuring a federated, single, trusted view of business-critical data aligned with international data strategy. 

• Define and govern business rules for data ingestion, transformation, aggregation, and master data management in line with enterprise data governance frameworks. 

• Coordinate data integration and data flows from core platforms (e.g., CRM, marketing platforms, field systems) to ensure timely, accurate, and fit-for-purpose data availability. 

• Ensure high levels of data quality, governance, and compliance by implementing controls, supporting data privacy requirements, and maintaining clear data documentation. 

• Maintain and enhance the data layer powering key dashboards and reports, ensuring consistency of metrics, structures, and refresh cycles across functions. 

• Perform data validation, root-cause analysis, and issue resolution for data incidents in collaboration with DAP, DDIT, and business stakeholders. 

• Enable advanced analytics, AI, and GenAI use cases by ensuring data readiness, quality, and scalability for priority pilots and solutions. 

• Partner with Commercial, Value & Access, and Medical teams to understand data needs across the product lifecycle and translate them into data solutions. 

• Support vendor and data service management by providing requirements, quality criteria, and performance input to the DAP Head. 

• Provide mentoring and day-to-day guidance to data specialists, contributing to capability building and operational excellence within the DAP organization. 

Essential Requirements 

• University degree in business, life sciences, analytics, computer science, engineering, or another relevant technical discipline; fluent English and Spanish languages required. 

• Minimum 5 years of experience in pharma data management, analytics enablement, or related roles supporting commercial, access, or medical use cases. 

• Minimum 5 years of experience in business analysis, stakeholder management, and driving data-driven optimization, automation, and change initiatives. 

• Deep understanding of pharmaceutical data domains, regulatory requirements, and separation of promotional and non-promotional data. 

• Hands-on expertise in data management, SQL, and data modeling, with experience enabling reporting and analytics solutions. 

• Experience acting as a Data or AI Product Owner, translating business needs into requirements, features, and acceptance criteria. 

• Strong analytical, problem-solving, and consulting skills with the ability to synthesize complex information into clear recommendations. 

• Ability to influence senior stakeholders while role-modeling Novartis leadership behaviors, ethics, and compliance standards. 

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.