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.

 

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