Data Engineering Manager

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.