Data Engineering Manager

Reposted One Month Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Senior level
Biotech • Pharmaceutical
The Role
Lead business analysis for Customer, Product, and Brand MDM across global markets: elicit and document requirements, design master data models, define data quality rules and KPIs, coordinate UAT, liaise with stakeholders and implementation teams, drive data governance adoption, and manage change, training, and country onboarding to establish a single source of truth and improve analytics.
Summary Generated by Built In

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

Skills Required

  • Requirement Gathering
  • Create Functional Specifications documents (BRDs, FRDs, user stories, epics)
  • Agile & Scrum Methodologies
  • Stakeholder Management
  • Gap Analysis
  • Data Model and High-Level design creations
  • Test case reviews and UAT coordination
  • Pharma and Life Sciences domain experience
  • Experience with Master Data Management (MDM) tools
  • Experience with Reltio
  • Snowflake / SQL
  • JIRA management
  • API / Integrations experience
  • Salesforce Life Sciences Cloud
  • ServiceNow
  • Bachelor's or master's degree in IT, Data Management, Life Sciences, or related field
  • 8+ years Business Analysis experience
  • 3+ years 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

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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