Data Engineering Manager

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