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
Master's degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR
Bachelor's degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR
Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field
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

MDM Associate Data Steward

Job Description

Required Skills