Data Engineering Manager
Novartis
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5,850 open engineering roles across 496 companies are on ApplySarthi right now, most of them in Bengaluru (312), Hyderabad (115), Mumbai (51).
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What engineering roles keep asking for: AWS (19%), Python (17%) — counted across their open postings here.
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Novartis has 824 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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Interviews for engineering roles keep coming back to AWS, Python. 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.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Data Engineering Manager at Novartis interview free →Job Description Summary We are seeking an experienced Business Analyst with 8+ years of experience in Master Data Management (MDM), Data Governance, and Business Process Analysis to support strategic Customer MDM, Product MDM, and Brand MDM. The candidate will partner with business stakeholders, data stewards, architects, and implementation teams to define business requirements, design master data solutions, drive data governance adoption, and enable high-quality business outcomes across commercial domain for Novartis. The role supports establishment of a single source of truth, standardized data models, governance frameworks, and improved analytics capabilities. Job Description Key Responsibilities Business Analysis & Requirements Management Lead business requirement workshops, stakeholder interviews, and discovery sessions across global and local markets. Elicit, analyze, document, and validate business, functional, and non-functional requirements. Act as the primary liaison between Global Product teams, Country MDM teams, business stakeholders, and IT teams. Conduct impact assessments to identify business, process, architectural, and technical dependencies affecting MDM initiatives. Translate business needs into BRDs, FRDs, user stories, epics, use cases, process flows, and acceptance criteria. Define UAT strategies, business test scenarios, and acceptance criteria. Clarify and refine requirements throughout the project lifecycle and obtain business sign-off. Facilitate requirement handover sessions to delivery, development, and support teams. Master Data , Data Model and Data Quality Define and document requirements related to Customer Master Data, Brand Master and Reference Data and Hierarchies. Analyse master data entities, relationships, affiliations, business rules, and data models. Support development and enhancement of global data models, business glossaries, and master data standards. Evaluate local market needs against global standards and recommend scalable, harmonized solutions. Drive data standardization, hierarchy management, and attribute harmonization initiatives Define/Validate data quality rules, validation criteria, monitoring processes, and KPI frameworks. Monitor data quality metrics including completeness, accuracy, consistency, uniqueness, and timeliness. Partner with business, technical and operations teams to continuously improve data quality and adoption. Change Management & Business Adoption Develop training materials, process documentation, and knowledge transfer content. Conduct stakeholder onboarding and user training sessions. Support country onboarding, rollout activities, and adoption of new MDM capabilities. Drive organizational change management activities to ensure successful business adoption. Measure adoption, business value realization, and continuous improvement opportunities Essential Requirements : Functional: Requirement Gathering Create Functional Specifications documents Agile & Scrum Methodologies Stakeholder Management Gap Analysis Data Model and High-Level design creations Test case Reviews and UAT Coordination Domain: Pharma and Life sciences Technology: Any Master Data Management (MDM) tool (Preferred Reltio) Snowflake / SQL JIRA Management API / Integrations Salesforce Lifesciences Cloud ServiceNow Desirable Requirements: Bachelor's or master's degree in information technology, Data Management, Life Sciences, or any related field. 8+ years of Business Analysis experience. 3+ years of MDM/Data Governance experience. Experience working with global stakeholders across multiple geographies. Experience working with implementation partners and vendors. Exposure to large-scale data transformation and digital programs. Commitment to Diversity and Inclusion / EEO paragraph: Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? 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 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 2026-09-06. ApplySarthi collects openings and links to application pages; the role is advertised by Novartis, not by us.