Data Stewardship Expert

About the Role:
Grade Level (for internal use):
09 Role Scope

Data Steward is an individual contributor role is responsible for executing core data stewardship activities that ensure the accuracy, integrity, and governance of enterprise data assets. The Data Steward manages end‑to‑end lineage monitoring, maintains high‑quality metadata, enforces policy and control compliance, and supports UAT for database changes and product distribution. The role performs detailed data validation, vendor data reviews, and works closely with Technology and Data Operations teams to resolve issues and maintain consistent data standards across systems.

Additionally, the Data Steward contributes to process improvement by driving standardization, enhancing documentation, and supporting the adoption of automation and AI‑enabled capabilities to improve data quality, reduce manual effort, and strengthen operational efficiency.
What You’ll Do (Key Responsibilities)

Operational Delivery

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Perform data validation checks, lineage tracking, and metadata updates to maintain data quality, integrity, and traceability.

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Execute data ingestion, validation, and integration activities in alignment with governance and control standards.

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Ensure consistent adherence to enterprise data policies and governance frameworks.

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Execute defined controls and compliance requirements to safeguard data integrity and lineage

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Support vendor data reviews and onboarding through data quality assessments, validation checks, and issue resolution.

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Maintain data standardization, stewardship documentation, and process artifacts to ensure accuracy and consistency.

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Execute medium‑complexity stewardship and validation tasks under established guidelines, escalating exceptions when required.

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Respond to client data queries and coordinate issue triage with Operations and Client Services teams.

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Collaborate with Technology teams on defect resolution, enhancement requests, and UAT for backend data and dataflow changes.

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Contribute to automation and AI‑enabled improvements that enhance efficiency and strengthen stewardship capabilities.

Process Excellence

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Support User Acceptance Testing (UAT) by validating data, coordinating test execution, and assisting with defect identification and resolution.

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Ensure adherence to governance, data management standards, and operating procedures by following defined controls and compliance requirements.

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Maintain high‑quality documentation by updating process flows, data definitions, data dictionaries, and other stewardship artifacts to ensure audit readiness and operational clarity.

Stakeholder Management

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Collaborate with Data Operations and Data Quality teams to support governance activities, quality controls, and issue remediation while serving as a key liaison between governance expectations and day‑to‑day execution

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Support Product and Technology teams by assisting with data requirements, validations, and operational coordination throughout change cycles.

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Assist with vendor data reviews by conducting data quality checks, performing validations, and coordinating onboarding processes.

How Impact Will Be Measured (Success Metrics)

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Data accuracy and integrity - Maintain high accuracy rates through consistent validation, timely corrections, and adherence to defined quality thresholds.

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SLA and turnaround adherence - Meet or exceed service‑level timelines for data updates, validations, issue resolution, and stakeholder responses.

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Documentation completeness and currency - Keep process documentation, data dictionaries, lineage records, and stewardship artifacts up‑to‑date, audit‑ready, and fully aligned with governance standards.

For This Role You'll Need to Have (Skills & Competencies)

Technical Skills

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Proficiency in SQL to run queries for data validation, reconciliation, and issue investigation.

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Works with metadata management and lineage tools to maintain data transpare