Data Management & Infrastructure Manager

Role Overview

• 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.

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.

Tech Stack

• SQL

Benefits

• 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.