Data Management & Infrastructure Manager

Novartis is hiring a Data Management & Infrastructure Manager in Milano, Italy. It pays €44k-€82k a year and Level rates it ; you can apply on Novartis.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Tools and skills the posting cites include SQL, data management and data governance.
Level classifies it as a mid-level role.
Level lists 850 other open roles at Novartis.
The role was posted within the past two weeks.

AI in this role

Manage data infrastructure, governance, and readiness to support analytics and AI use cases within execution excellence.

sql

data-managementdata-governancedata-infrastructureanalytics-enablement

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

How we rate this

Data Management & Infrastructure Manager at Novartis rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Management & Infrastructure Manager is an open job at Novartis.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is €44k-€82k a year.
The role is based in Milano.
The job was posted on October 9, 2026.
Seniority: mid.
Applications are handled by Novartis. Apply on Novartis

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ManagementData GovernanceData InfrastructureAnalytics EnablementSQL

Questions you could be asked

Tell me about a project where data management was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where data infrastructure was part of your work. What did you do?
Tell me about a project where analytics enablement was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Management, Data Governance, Data Infrastructure, Analytics Enablement, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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