Novartis
pharma/life sciences
SeniorAnalyst,MasterDataManagement
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analyst, Master Data Management at Novartis. Skills: Master Data Management, Data Integration, Data Migration, Data Governance, MDM Platforms, SQL, Data Profiling, Overlap Analysis, Survivorship, Reconciliation. Integration and migration of master data domains. End-to-end lifecycle of master data during integration”
What You'll Achieve.
Ensuring that master data from one entity is profiled, reconciled, harmonized, and migrated into the target organization's / target platform’s MDM ecosystem with full golden record integrity; Baseline data quality metrics (completeness, uniqueness, referential integrity); Quantify conflicts; Reconciliation protocols by wave (counts, field-level checks, hierarchy integrity, downstream impact); Operational reporting (KPIs, backlogs, exception trends)
Industry & Context.
Analytical Thinking; Conflict adjudication; Drive resolution of rule conflicts via governance
What They're Looking For.
Must Have
4+ years in MDM/data stewardship/data operations, at least 2 years in migration/integration context, Experience with one or more MDM platforms (Informatica, Reltio, SAP MDG, Semarchy, Profisee), Matching algorithms, Survivorship, Hierarchy management, Reference data governance, Trust scoring, Golden record lifecycle, SQL, data profiling familiarity, APIs, ETL/ELT/integration understanding, understanding of downstream systems (CRM/ERPI/marketing), Working knowledge of data governance frameworks (classification, ownership/RACI, metadata management), Demonstrated overlap analysis + survivorship strategy + reconciliation at scale (100K+ records), Demonstrated experience in ambiguity/time-bound environments
Nice to Have
Regulated industry exposure preference called out for pharma/life sciences commercial data domains (HCP/HCO, product, territory/alignment), MDM tool-to-tool migration experience (e.g., Informatica → Reltio), Cloud data platforms familiarity (Snowflake/Databricks/Azure Synapse), cloud-native data architectures
What You'll Do.
Integration and migration of master data domains
End-to-end lifecycle of master data during integration
Discovery and overlap analysis
survivorship resolution
conflict adjudication
Post-cutover validation
Work across multiple data domains (customer
healthcare provider/organization
Manage DCR workflow end-to-end (intake → triage → validation/enrichment → approvals → execution)
Run match/merge/survivorship
Update reference data
Harmonize business rules and mastering logic
Drive resolution of rule conflicts via governance
Metadata/data dictionary/glossary registration
Propose AI/automation use cases (duplicate detection
How You'll Work.
Team & Collaboration
Partner closely with domain owners, data engineers, governance leads, and business stakeholders; Facilitation (workshops); Stakeholder communication (incl. senior)
Communication Scope
Stakeholder communication (incl. senior)
Process & Methodology
Large-scale acquisition and platform migration programs, Time-sensitive migration programs
Full Job Description
**Job Description Summary** We are seeking an experienced Senior Analyst, Master Data Management to play a critical role in the integration and migration of master data domains as part of a large-scale acquisition and platform migration programs. This role sits at the intersection of data governance, data quality, and business stakeholder engagement, ensuring that master data from one entity is profiled, reconciled, harmonized, and migrated into the target organization's / target platform’s MDM ecosystem with full golden record integrity. The role will be responsible for managing the end-to-end lifecycle of master data during the integration — from discovery and overlap analysis through to matching, survivorship resolution, conflict adjudication, and post-cutover validation. This individual will work across multiple data domains (e.g., customer, product, account, healthcare provider/organization, territory, hierarchy) and will partner closely with domain owners, data engineers, governance leads, and business stakeholders. This role demands not only deep MDM expertise but also the ability to operate in ambiguity — navigating differences in data standards, business rules, platform capabilities, and organizational culture that are inherent to any large scale organizational / platform integration. The ideal candidate brings a structured yet adaptable approach to data stewardship in high-complexity, time-sensitive migration programs. **Job Description** **Location: Hyderabad #Hybrid** **Key Responsibilities** * **Discovery & profiling:** Baseline data quality metrics (completeness, uniqueness, referential integrity), inventory assets, document dependencies, capture tribal knowledge/workarounds. * **Overlap analysis & reconciliation:** Duplicate/overlap analysis using match keys (IDs, tax IDs, MDM IDs), quantify conflicts, run reconciliation workshops, define survivorship/exception rules. * **Migration execution & stewardship:** Own DCR workflow end-to-end (intake → triag
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