{"id":1942974,"url":"https://alion.io/job/exl-data-steward","title":"Data Steward","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":67,"ghost_share":0,"stale_share":0.94,"repost_share":0,"time_to_fill_p50_days":8,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United 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standardize business definitions, improve data quality, manage data classification and lineage, and ensure effective data access governance and compliance.\n Define and maintain data ownership, business glossaries, critical data elements (CDEs), data dictionaries, and metadata standards across enterprise data domains.\nEstablish and monitor data quality rules, controls, and thresholds; identify data issues and coordinate remediation efforts with Data Engineering teams.\nClassify PII, confidential, and sensitive data assets, ensuring appropriate documentation of access controls, privacy requirements, retention policies, and approved usage guidelines.\nDocument and maintain end-to-end business and technical data lineage across source systems, data pipelines, and analytical data products.\nSupport governance activities for data modernization initiatives, including migration from legacy platforms to AWS and Databricks environments.\nFacilitate cross-functional governance forums, driving alignment and resolution of data definition, ownership, and quality issues across business and technology teams.\nDevelop and implement governance policies, standards, processes, documentation, metrics, and reporting to promote consistent data management practices.\nDefine and enforce governance requirements for data contracts, including ownership, business definitions, data quality expectations, sensitivity classifications, lineage, and approved usage.\nPartner 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.\nDrive adoption of data governance best practices and foster accountability for data stewardship across business and technical stakeholder groups.\n Qualifications (Required):\n7+ years of experience in data governance, data stewardship, data quality, or data management.\nStrong knowledge of metadata, lineage, data classification, access governance, and privacy.\nProven experience defining, implementing, and monitoring data quality rules, controls, KPIs, and remediation processes, including data profiling and root cause analysis.\nExperience with data contracts, schema governance, data-quality SLAs, change management processes.\nWorking knowledge of SQL and modern enterprise data platforms, including cloud-based data lakes, warehouses, and analytics ecosystems.\nExperience with catalog/governance tools like Databricks Unity Catalog, Collibra, Alation, or Informatica.\nStrong communication, facilitation, and stakeholder management skills, with the ability to engage effectively with business, technical, risk, privacy, and executive stakeholders.\nAbility to help shape a governance operating model, not only execute established processes.\nPreferred Experience:\n\nExperience with modern data platforms and cloud technologies, including Databricks, Unity Catalog, Delta Lake, and AWS. \nDomain expertise 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