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We are looking for a detail-oriented Data Steward to own the integrity of our enterprise data. In this role, you will be the frontline defender of Data Quality, implementing rigorous monitoring and remediation processes to eliminate silos. You will manage the lifecycle of our master data, ensuring compliance with Data Governance policies while working directly with technical teams to optimize our MDM hubs. If you have a passion for precision and thrive on organizing complex information, you’ll fit right in.
Job Responsibility:
Manage and maintain the "Golden Record" for core data domains (Customer and Product), including resolving data conflicts and duplicates
Manage data hierarchies, relationships, and cross-system mapping
Oversee the matching and merging process to improve consolidation of data
Establish, measure and monitor Data Quality KPIs (Accuracy, Completeness, Timeliness, Consistency)
Perform root-cause analysis on data discrepancies and lead remediation efforts
Design and implement automated data profiling, validation and cleansing processes
Support the development of data governance standards, policies, and business rules
Document data lineage, business glossaries, and data dictionaries
Facilitate data stewardship activities across business units
Requirements:
3-5 years of experience in data management, data stewardship, or related roles
Strong SQL skills for data profiling and analysis
Strong understanding of Master Data Management concepts and best practices
Experience with data quality tools and methodologies
Familiarity with data visualization tools to report on data quality metrics
Proficient understanding of data lifecycle management and data modeling concepts
Excellent communication skills in English
the ability to explain technical data issues to non-technical stakeholders
Nice to have:
Familiarity with MDM platforms (Informatica, Reltio, Stibo, etc.)
Foundation in Data Governance methodologies and foundations
Experience with Cloud Data Warehouses (Snowflake, BigQuery, or Databricks)