About The Role

The Data Steward & Data Operations Specialist ensures high-quality master supporting commercial operations across multiple systems in a pharma/life sciences environment. Along with core stewardship activities — processing data change requests, onboarding, enrichment, and data quality initiatives — this role also drives automation of MDM operations using Python and PySpark within Reltio MDM, reducing manual effort and improving data quality at scale.

Accountabilities
- Process Data Change Requests related to HCP/HCO master data Conduct matching and merging of HCM records within Reltio MDM Monitor and process data queues across all object types in scope Identify, plan, and implement data quality initiatives Build automation scripts using Python/PySpark for data cleansing, matching, deduplication, and reporting Collaborate with Commercial business users on data availability, completeness, and quality needs Perform data completeness/quality assessments of external provider data Perform mass data uploads, cleansing, enrichment,



and updates Perform analysis and maintenance for HCP/HCO data within Reltio MDM Cooperate with IT/Data Engineering on issue resolution and automation opportunities Conduct data investigations and matching across sources Provide reports/dashboards on data in scope, using Python/PySpark for automation where applicable Define and track KPIs and Data Quality Metrics; support junior team members

Essential
- • 4–6 years of experience in Data Stewardship/Data Management Operations, preferably in Pharma/Life Sciences • Hands-on experience with Reltio MDM (or similar MDM platform) for HCP/HCO data • Working knowledge of Python and PySpark for automation and data pipelines • Hands-on experience with AWS services (S3, Glue, SageMaker etc..) • Familiarity with API-based integrations for MDM data exchange • Solid understanding of data quality and data management principles • Experience in data analysis and processing activities • Advanced MS

📌 Sr Associate (Guindy)
🏢 Purple Austyn Technologies
📍 Guindy