Data Engineering Manager

Full Time
  • Full Time
  • India
  • Applications have closed

Become a key driver of enterprise‑wide Master Data Management initiatives, partnering with global product, commercial, and IT teams to deliver high‑quality, governed data that fuels analytics and decision‑making.

What You’ll Do

  • Lead requirement workshops and stakeholder interviews across global and local markets.
  • Document and validate business, functional, and non‑functional requirements into BRDs and user stories.
  • Translate master data needs into data models, hierarchies, and quality rules.
  • Define UAT strategies, test scenarios, and acceptance criteria for MDM releases.
  • Coordinate hand‑offs to delivery, development, and support teams.
  • Drive data standardization, hierarchy management, and attribute harmonization initiatives.
  • Conduct change‑management activities and training to ensure user adoption.

What You Need

  • 8+ years in business analysis with Master Data Management focus.
  • 3+ years implementing data governance and quality frameworks.
  • Experience with MDM tools (preferably Reltio) and Snowflake/SQL.
  • Proven stakeholder‑management across global geographies.
  • Ability to create functional specifications, BRDs, FRDs, and UAT documents.
  • Agile/Scrum methodology expertise, including backlog grooming and sprint planning.

Good to Have

  • Hands‑on experience with Salesforce Life Sciences Cloud and ServiceNow.
  • Familiarity with API integrations and JIRA for project tracking.

The Opportunity

Novartis emphasizes an inclusive culture where diverse teams shape therapies that improve patients’ lives, offering a collaborative environment for personal and professional growth.

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