Senior Analyst - Master Data Management and Data Integration

Senior Analyst, Master Data Management, Data Integrations

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 → triage → validation/enrichment → approvals → execution), run match/merge/survivorship, steward queues/SLAs, update reference data.
• Business rules translation: Harmonize business rules and mastering logic across functions; document matching algorithms, survivorship hierarchies, validation logic; drive resolution of rule conflicts via governance.
• Validation & QA: Reconciliation protocols by wave (counts, field-level checks, hierarchy integrity, downstream impact), operational reporting (KPIs, backlogs, exception trends).
• Governance & continuous improvement: Metadata/data dictionary/glossary registration in enterprise catalog; propose AI/automation use cases (duplicate detection, DCR triage, anomaly detection, prioritization).

Essential Requirements

• Experience: 4+ years in MDM/data stewardship/data operations, including at least 2 years in migration/integration context.
• Hands-on MDM: Experience with one or more MDM platforms (examples provided: Informatica, Reltio, SAP MDG, Semarchy, Profisee).
• MDM concepts depth: Matching algorithms, survivorship, hierarchy management, reference data governance, trust scoring, golden record lifecycle.
• Technical: SQL + data profiling tools; familiarity with APIs and ETL/ELT/integration patterns; understanding of downstream systems (CRM/ERP/BI/marketing).
• Governance: Working knowledge of data governance frameworks (classification, ownership/RACI, metadata management).
• Scale & complexity: Demonstrated overlap analysis + survivorship strategy + reconciliation at scale (100K+ records), in ambiguity/time-bound environments.
• Industry context: Regulated industry exposure preferred; strong preference called out for pharma/life sciences commercial data domains (HCP/HCO, product, territory/alignment).
• Ways of working: Strong facilitation (workshops), stakeholder communication (incl. senior), strong documentation and analytical rigor.

Desirable Reequipments:

• MDM tool-to-tool migration experience (e.g., Informatica → Reltio).
• Cloud data platforms familiarity (Snowflake/Databricks/Azure Synapse) and cloud-native data architectures.

Commitment to Diversity & Inclusion

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

 

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Advertising Campaigns, Alteryx, Analytical Thinking, Brand Awareness, Business Networking, Curiosity, Digital Marketing, Marketing Communications, Marketing Plans, Marketing Strategy, Media Campaigns, Process Documentation, Statistical Analysis, Strategic Marketing

Experience Level

Senior Level