nThe Role ensures high-quality master supporting commercial operations across multiple systems in a pharma/life sciences workplace. 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.
nTypical Accountabilities
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- Process Data Change Requests related to HCP/HCO master data
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- Conduct matching and merging of HCM records within Reltio MDM
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- Monitor and process data queues across all object types in scope
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- Identify, plan, and implement data quality initiatives
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- Build automation scripts using Python/PySpark for data cleansing, matching, deduplication, and reporting
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- Collaborate with Commercial business users on data availability, completeness, and quality needs
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- Perform data completeness/quality assessments of external provider data
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- Perform mass data uploads, cleansing, enrichment, and updates
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- Perform analysis and maintenance for HCP/HCO data within Reltio MDM
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- Cooperate with IT/Data Engineering on issue resolution and automation opportunities
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- Conduct data investigations and matching across sources
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- Provide reports/dashboards on data in scope, using Python/PySpark for automation where applicable
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- Define and track KPIs and Data Quality Metrics; support junior team members
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nEssential
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- 4–6 years of experience in Data Stewardship/Data Management Operations, preferably in Pharma/Life Sciences
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- Hands-on experience with Reltio MDM (or similar MDM platform) for HCP/HCO data
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- Working knowledge of Python and PySpark for automation and data pipelines
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- Hands-on experience with AWS services (S3, Glue, SageMaker etc..)
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- Familiarity with API-based integrations for MDM data exchange
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- Strong understanding of data quality and data management principles
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- Experience in data analysis and processing activities
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- Advanced MS Excel and intermediate/advanced SQL knowledge
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- High attention to detail; proactive, analytical, and investigative mindset
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- Proven track record of process improvement, including automation of manual processes
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- Strong written/verbal communication skills
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