Senior Associate - MDM (only from Pharma/Life Science/Biotech Domain)

Chryselys · Hyderabad, India

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.

Typical 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
• Strong understanding of data quality and data management principles
• Experience in data analysis and processing activities
• Advanced MS Excel and intermediate/advanced SQL knowledge
• High attention to detail; proactive, analytical, and investigative mindset
• Proven track record of process improvement, including automation of manual processes
• Strong written/verbal communication skills