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.