Data Management & Infrastructure Manager
Role details
Job location
Tech stack
Job description
The Data Management & Infrastructure Manager is responsible for designing, operating, and continuously improving a single, trusted data foundation that enables insight-driven decision making across Commercial, Value & Access, and Medical. The role partners closely with global and local stakeholders to ensure data platforms, governance, and reporting solutions are aligned with international standards and sustainably adopted across the organization., * Design, maintain, and evolve the country DAP data foundation, ensuring a federated, single, trusted view of business-critical data aligned with international data strategy.
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Define and govern business rules for data ingestion, transformation, aggregation, and master data management in line with enterprise data governance frameworks.
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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.
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Ensure high levels of data quality, governance, and compliance by implementing controls, supporting data privacy requirements, and maintaining clear data documentation.
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Maintain and enhance the data layer powering key dashboards and reports, ensuring consistency of metrics, structures, and refresh cycles across functions.
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Perform data validation, root-cause analysis, and issue resolution for data incidents in collaboration with DAP, DDIT, and business stakeholders.
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Enable advanced analytics, AI, and GenAI use cases by ensuring data readiness, quality, and scalability for priority pilots and solutions.
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Partner with Commercial, Value & Access, and Medical teams to understand data needs across the product lifecycle and translate them into data solutions.
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Support vendor and data service management by providing requirements, quality criteria, and performance input to the DAP Head.
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Provide mentoring and day-to-day guidance to data specialists, contributing to capability building and operational excellence within the DAP organization.
Requirements
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University degree in business, life sciences, analytics, computer science, engineering, or another relevant technical discipline; fluent English and Spanish languages .
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Minimum 5 years of experience in pharma data management, analytics enablement, or related roles supporting commercial, access, or medical use cases.
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Minimum 5 years of experience in business analysis, stakeholder management, and driving data-driven optimization, automation, and change initiatives.
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Deep understanding of pharmaceutical data domains, regulatory requirements, and separation of promotional and non-promotional data.
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Hands-on expertise in data management, SQL, and data modeling, with experience enabling reporting and analytics solutions.
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Experience acting as a Data or AI Product Owner, translating business needs into requirements, features, and acceptance criteria.
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Strong analytical, problem-solving, and consulting skills with the ability to synthesize complex information into clear recommendations.
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Ability to influence senior stakeholders while role-modeling Novartis leadership behaviors, ethics, and compliance standards.