We are seeking an experienced Informatica MDM Lead with strong expertise in Life Sciences commercial data to lead enterprise Master Data Management initiatives. The ideal candidate will have hands-on experience with Informatica MDM (Multidomain / Siperian) and deep domain knowledge of pharmaceutical data sources such as IQVIA, Symphony Health, and Fingertip Formulary (F14).
This role will drive data standardization, governance, and integration across customer, product, and payer data domains to enable advanced analytics and commercial insights.
Key Responsibilities
Lead end-to-end MDM solution design, development, and implementation using Informatica MDM
Define and implement data models, hierarchies, match-merge rules, and survivorship logic
Integrate and harmonize data from IQVIA, Symphony Health, F14, CRM, and other commercial data sources
Design and manage customer (HCP/HCO), product, and payer master data domains
Partner with business stakeholders to define data governance frameworks, data quality rules, and stewardship processes
Oversee data ingestion, cleansing, enrichment, and deduplication processes
Collaborate with downstream systems (Salesforce, data lakes, analytics platforms) to ensure reliable data delivery
Provide architectural guidance and technical leadership to MDM development teams
Drive best practices for data quality, metadata management, and compliance (HIPAA, regulatory standards)
Support analytics use cases like patient journey, segmentation, targeting, and omnichannel engagement
Required Qualifications
10+ years of experience in Data Management / MDM, with at least 5+ years in Informatica MDM
Hands-on expertise in:
Informatica MDM (Multidomain / Siperian)
Informatica Data Quality (IDQ) and PowerCenter / IICS
Strong experience with Life Sciences commercial datasets, including:
IQVIA (Xponent, OneKey, etc.)
Symphony Health datasets
F14 (Formulary / payer data)
Deep understanding of:
HCP/HCO data models
Customer 360 and Golden Record concepts
Data stewardship and governance
Experience in data integration, ETL, and cloud platforms (AWS preferred)
Strong SQL and data modeling skills
Preferred Qualifications
Experience working with pharma/biotech commercial analytics teams
Exposure to Salesforce Health Cloud / Veeva CRM integrations
Knowledge of data lakes (S3, Redshift, Snowflake) and big data frameworks
Familiarity with data governance tools (Collibra, Alation, etc.)
Experience supporting AI/ML or advanced analytics use cases
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