Data Steward

EXL•United States,

About The Position

This role will collaborate closely with Business, Data Product, Engineering, Privacy, and Cybersecurity teams to strengthen data ownership, standardize business definitions, improve data quality, manage data classification and lineage, and ensure effective data access governance and compliance.

Requirements

7+ years of experience in data governance, data stewardship, data quality, or data management.
Strong knowledge of metadata, lineage, data classification, access governance, and privacy.
Proven experience defining, implementing, and monitoring data quality rules, controls, KPIs, and remediation processes, including data profiling and root cause analysis.
Experience with data contracts, schema governance, data-quality SLAs, change management processes.
Working knowledge of SQL and modern enterprise data platforms, including cloud-based data lakes, warehouses, and analytics ecosystems.
Experience with catalog/governance tools like Databricks Unity Catalog, Collibra, Alation, or Informatica.
Strong communication, facilitation, and stakeholder management skills, with the ability to engage effectively with business, technical, risk, privacy, and executive stakeholders.
Ability to help shape a governance operating model, not only execute established processes.

Nice To Haves

Experience with modern data platforms and cloud technologies, including Databricks, Unity Catalog, Delta Lake, and AWS.
Domain expertise in media, streaming, advertising, subscription, audience, customer, or consumer data environments.
Experience supporting large-scale data modernization and migration initiatives, including transitions from legacy platforms to cloud-based architectures.

Responsibilities

Define and maintain data ownership, business glossaries, critical data elements (CDEs), data dictionaries, and metadata standards across enterprise data domains.
Establish and monitor data quality rules, controls, and thresholds; identify data issues and coordinate remediation efforts with Data Engineering teams.
Classify PII, confidential, and sensitive data assets, ensuring appropriate documentation of access controls, privacy requirements, retention policies, and approved usage guidelines.
Document and maintain end-to-end business and technical data lineage across source systems, data pipelines, and analytical data products.
Support governance activities for data modernization initiatives, including migration from legacy platforms to AWS and Databricks environments.
Facilitate cross-functional governance forums, driving alignment and resolution of data definition, ownership, and quality issues across business and technology teams.
Develop and implement governance policies, standards, processes, documentation, metrics, and reporting to promote consistent data management practices.
Define and enforce governance requirements for data contracts, including ownership, business definitions, data quality expectations, sensitivity classifications, lineage, and approved usage.
Partner with Data Modelers, Data Engineers, and Data Product teams to manage data contract lifecycle activities, including schema evolution, versioning, change management, and producer-consumer accountability.
Drive adoption of data governance best practices and foster accountability for data stewardship across business and technical stakeholder groups.