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The Enterprise Data Stewardship team and support the ongoing quality, consistency, and reliability of enterprise master data. As an Enterprise Data Steward, you will work closely with senior stewards, data engineers, and platform teams to monitor data quality, investigate issues, and execute remediation activities. This role is more technically focused, emphasizing data analysis, systems understanding, and operational execution rather than business ownership.
Job Responsibility:
Monitor enterprise master data for quality issues using defined rules, controls, and dashboards
Support identification, logging, and tracking of data quality incidents and defects
Perform data analysis and validation to assist in root cause investigation
Execute approved remediation steps within MDM platforms and downstream systems
Apply established data standards, business rules, and governance policies as directed
Develop working technical knowledge of systems supporting end-to-end master data flows
Assist with configuration, testing, and validation of data quality rules (matching, merging, survivorship)
Document defects, remediation actions, and data behaviors in accordance with team standards
Partner primarily with technology and data teams, escalating business questions when needed
Perform additional duties as required to support data operations and platform stability.
Requirements:
1–3 years of experience in data stewardship, data operations, analytics, or a related technical role
Exposure to at least one data domain such as Product, Vendor, Client, or Location
Experience working with data platforms such as MDM solutions, relational databases, data warehouses, or data lakes
Basic understanding of data quality concepts (accuracy, completeness, consistency, timeliness)
Ability to follow established processes and manage multiple tasks with supervision
Strong analytical and problem-solving skills with attention to detail
Clear written communication skills for documenting technical findings
Comfortable working in a fast-paced, operational environment
Working knowledge of SQL for data querying and validation
Intermediate Excel skills for analysis and reconciliation
Familiarity with ticketing or incident management tools (ServiceNow, JIRA, Azure DevOps)
Exposure to Master Data platforms such as Stibo STEP, Informatica MDM, or similar
Familiarity with reporting or visualization tools such as Power BI or Tableau
Awareness of ERP systems such as SAP S/4HANA
Exposure to AI-assisted research tools (e.g., ChatGPT, Copilot) for productivity support
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.
Nice to have:
Hands-on experience executing data corrections in controlled environments
Experience supporting data quality monitoring or operational data controls
Comfort working primarily with technical stakeholders (data engineering, platform, analytics teams).