Data Management & Infrastructure Manager
Novartis
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This role on the market
2,247 open infrastructure roles across 323 companies are on ApplySarthi right now, most of them in Bengaluru (75), Hyderabad (25), Delhi NCR (16).
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What infrastructure roles keep asking for: AWS (33%), Python (28%), Observability (24%), Kubernetes (24%), System design (22%), CI/CD (17%), Terraform (17%), Linux (17%) — counted across their open postings here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for infrastructure roles keep coming back to AWS, Python, Observability, Kubernetes. Practise those questions before you sit with Novartis.
Questions you are likely to be asked
- Why do you want to join Novartis?
- What is your experience with Stakeholder management? Tell me one thing you learned the hard way.
- How do you keep secrets and access safe in your infrastructure?
- Walk me through how code gets from a commit to production where you work.
- Tell me about an outage you handled. What did you learn from it?
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Practise the Data Management & Infrastructure Manager at Novartis interview free →Salary Range: 44.100,00 € - 81.900,00 € Job Description Summary The Data Management & Infrastructure Manager is the country referent for the Data, Analytics and Platforms data foundation within the Execution Excellence unit. The role designs, operates, and continuously improves a single, trusted view of business-critical data across Commercial, Value & Access and Medical, in line with international data strategy and governance frameworks. The role partners closely with local stakeholders to ensure that data, platforms and reporting solutions are fit-for-purpose, aligned with international standards, and sustainably adopted across the organization. Job Description Key responsibilities DATA MANAGEMENT & INFRASTRUCTURE 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. DATA QUALITY, GOVERNANCE & COMPLIANCE ENABLEMENT 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 REPORTING AND ANALYTICS ENABLEMENT 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 CROSS-FUNCTIONAL COLLABORATION 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. Essential requirements University degree in Business, Life Sciences, Mathematics, Statistics, Computer Science, Engineering, Analytics, or a related technical field. 5+ years of experience in data architecture, master data management, or enterprise data strategy. Experience as a Data Product Owner, managing business requirements, features, user stories, acceptance criteria, and cross-functional product delivery. Strong knowledge of pharma data domains including commercial, patient services, market access, digital, medical, and omnichannel data ecosystems. Understanding of the pharmaceutical regulatory environment, industry standards, and the separation of promotional and non-promotional activities and data. Proven ability to drive data strategy, enable new datasets, and deliver automation, optimization, and change management initiatives. Expertise in SQL and data management; knowledge of Python or R and data engineering concepts; knowledge of data governance/quality tools and data platforms. Strong analytical, problem-solving, communication, consulting, and stakeholder-influencing skills English required, Italian preferred, with a strong ethical and leadership mindset. Why Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture Benefits and rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards 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. People and culture Skills Desired Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Waterfall Model
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Listed on workday · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Novartis, not by us.