Intern DDIT APD D&A Enterprise Semantic Layer Engineering
We couldn't confirm this posting on Novartis's site in our latest checks -- see current similar openings below.
About this opportunity
As an Enterprise Semantic Layer & Data Platforms Engineering Intern, you will help build enterprise data capabilities that enable trusted, connected, and AI-ready data across the organization.
What You’ll DoAs an Enterprise Semantic Layer & Data Platforms Engineering Intern, you will help build enterprise data capabilities that enable trusted, connected, and AI-ready data across the organization.Support the development of Enterprise Semantic Layer and Ontology Management platforms, including solutions such as Centree.Contribute to semantic modelling, metadata management, and knowledge management capabilities that improve data discoverability and interoperability.Assist in integrating Metadata, Data Catalog, Data Quality, and Master Data Management (MDM) platforms.Participate in API-based integrations, automation, and platform engineering initiatives.Support platform testing, validation, documentation, and operational excellence activities.Contribute to AI/GenAI-powered use cases for metadata management, semantic modelling, and data governance.Assist in innovation, proof-of-concepts (POCs), and modernization initiatives.Collaborate with architects, engineers, and business teams to deliver scalable and governed data solutions.What You’ll Learn· Enterprise Semantic Layer, Ontology Management, and Knowledge Graph concepts.· Metadata, Data Quality, Data Catalog, and MDM platform integration.· API-based integration, automation, and cloud platform engineering.· AI/GenAI-driven approaches for metadata management and semantic modelling.· Enterprise data governance, architecture, and scalable platform design.· Agile delivery and collaboration within global data and analytics teams.Who We’re Looking For· Pursuing a B.E./B.Tech degree in Computer Science, Information Technology, Artificial Intelligence, Electronics, Data Science, or a related discipline.· Strong analytical and problem-solving skills.· Passion for learning modern data, AI, and governance technologies.· Strong communication and collaboration skills.· Ability to thrive in a fast-paced, agile, team-oriented environment.· Interest in data platforms, semantic technologies, integrations, automation, and AI-driven solutions.· Participation in hackathons, research, innovation challenges, or open-source projects is a plus.What We Offer· Hands-on experience with enterprise-scale Data & Analytics platforms.· Exposure to Semantic Layer, Ontology Management, Knowledge Graphs, and Data Governance solutions.· Practical experience integrating Metadata, Data Catalog, Data Quality, and MDM platforms.· Experience with APIs, automation, cloud platforms, and platform engineering.· Opportunity to work on AI and GenAI-driven innovations.· Mentorship from experts in Data Architecture, Platform Engineering, and Data Governance.· Experience working in a global, agile, and collaborative environment.Understanding of how modern data platforms enable trusted, governed, and connected enterprise data ecosystems.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 77 comparable Intern/Fellow/Postdoc Data & Digital roles across 25 biopharma companies.
Salary context
10 of 77 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 77 comparable roles
+ 12 more countries
Seniority mix
77 of 77 peers have a known seniority level
Therapeutic area mix
1 of 77 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Currently open similar roles
This posting is closed, but here are live openings closest to it -- ranked by similarity, not by how well you'd qualify for them.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
Or follow a whole field: get every new Data & Digital job in India, and choose locations and companies.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.