Job
Description
ABOUT THE ROLE Role Description We are seeking an MDM Associate Data Steward who will be responsible for ensuring the accuracy, completeness, and reliability of master data across critical business domains such as Customer, Product, Affiliations, and Payer. This role involves actively managing and curating master data through robust data stewardship processes, comprehensive data cataloging, and data governance frameworks utilizing Informatica or Reltio MDM platforms. Additionally, the incumbent will perform advanced data analysis, data validation, and data transformation tasks through SQL queries and Python scripts to enable informed, data-driven business decisions. The role emphasizes cross-functional collaboration with various teams, including Data Engineering, Commercial, Medical, Compliance, and IT, to align data management activities with organizational goals and compliance standards. Roles & Responsibilities Responsible for master data stewardship, ensuring data accuracy and integrity across key master data domains (e.g., Customer, Product, Affiliations). Conduct advanced data profiling, cataloging, and reconciliation activities using Informatica or Reltio MDM platforms. Manage the reconciliation of potential matches, ensuring accurate resolution of data discrepancies and preventing duplicate data entries. Effectively manage Data Change Request (DCR) processes, including reviewing, approving, and documenting data updates in compliance with established procedures and SLAs. Execute and optimize SQL queries for validation and analysis of master data. Perform basic Python for data transformation, quality checks, and automation. Collaborate effectively with cross-functional teams including Data Engineering, Commercial, Medical, Compliance, and IT to fulfill data requirements. Support user acceptance testing (UAT) and system integration tests for MDM related system updates. Implement data governance processes ensuring compliance with enterprise standards, policies, and frameworks. Document and maintain accurate SOPs, Data Catalogs, Playbooks, and SLAs. Identify and implement process improvements to enhance data stewardship and analytic capabilities. Perform regular audits and monitoring to maintain high data quality and integrity. Basic Qualifications and Experience Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related fieldOR Bachelors degree with 2 - 5 years of experience in Business, Engineering, IT or related fieldOR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Direct experience in data stewardship, data profiling, and master data management. Hands-on experience with Informatica or Reltio MDM platforms. Proficiency in SQL for data analysis and querying. Knowledge of data cataloging techniques and tools. Basic proficiency in Python scripting for data processing. Good-to-Have Skills: Experience with PySpark and Databricks for large-scale data processing. Background in the pharmaceutical, healthcare, or life sciences industries. Familiarity with AWS or other cloud-based data solutions. Strong project management and agile workflow familiarity (e.g., using Jira, Confluence). Understanding of regulatory compliance related to data protection (GDPR, CCPA). Professional Certifications Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams
