Novartis

pharma/life sciences

SeniorAnalyst,MasterDataManagement

Hyderabad, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

pharma/life sciences
Problems you'll solve

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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