Data Management & Infrastructure Manager
Confirmed live in the last 24 hours
Novartis
Job Description
Job Description Summary
#LI-HybridLocation: Mexico City, Mexico
Relocation Support: This role is based in Mexico City, Mexico. Novartis is unable to offer relocation support: please only apply if accessible.
Are you passionate about turning complex data into trusted insights that drive confident decisions? As Data Management & Infrastructure Manager at Novartis, you will sit at the heart of our data ecosystem, shaping how business‑critical information is defined, governed, and trusted across the organization. By building a reliable, federated view of key data sets, you will enable high‑impact analytics, strengthen confidence in key performance indicators, and accelerate decision‑making for commercial, medical, and analytics teams. This role offers a unique opportunity to influence data foundations, collaborate with diverse global stakeholders, and make a tangible impact on how insights support better outcomes.
Job Description
Key Responsibilities
Own and maintain a single trusted view of business‑critical data across internal and external sources
Define local data processing rules, quality controls, and stewardship standards to improve reliability and trust
Partner with digital and information technology teams to deploy robust pipelines and resolve data incidents quickly
Align local practices with global data governance, privacy, and compliance requirements in regulated environments
Enable cross‑functional reporting for commercial, medical, and value teams through reliable, well‑documented datasets
Embed security, observability, and reliability practices using a DevOps mindset to strengthen availability and performance
Prioritize critical datasets for business continuity and accelerate onboarding of new data sources
Requirements
Bachelor’s degree in business, engineering, data and analytics, digital, information technology, or a related field
Proven experience in data management, analytics engineering, or data governance within regulated environments
Strong knowledge of data quality management, governance frameworks, and compliance requirements
Experience working with data privacy standards and separation of medical and commercial data
Ability to translate business needs into clear data rules and quality controls
Strong stakeholder management skills, partnering effectively with digital, analytics, and cross‑functional teams
Desirable Requirements
Experience working with cloud‑based data platforms and modern data infrastructure environments
Skills Desired
Agility, Analytical Thinking, Brand Awareness, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Marketing Strategy, Media Campaigns, Project Management, Project Planning, Sales, Stakeholder Engagement, Stakeholder Management, Strategic Marketing, Waterfall ModelSimilar Jobs
Thermo Fisher
Senior Manager Data Science and Analytics Engineering
McKesson
Senior Data Engineer/Software Developer
Mastercard
Software Development Engineer II - Data and Analytics
6sense
Software Engineer III - Data
Verifone
Kafka Database Engineer
Verifone