Data Steward

Responsibilities

• Serves as the named steward for assigned data domains, maintaining accountability for data quality, documentation, and policy compliance within those domains.
• Maintains and updates data asset documentation in the enterprise data catalogue (Atlan or equivalent) for assigned domains: ownership, classification, lineage stubs, and quality status.
• Monitors data quality metrics for assigned domains: completeness, accuracy, timeliness, consistency, and uniqueness, as defined by the governance framework.
• Identifies, documents, and escalates data quality issues, tracking remediation through resolution in coordination with Data Engineering and Analytics Engineering.
• Participates in data quality reviews on a bi-weekly cadence, reporting domain-level quality status to leadership.
• Maintains and updates data asset documentation in the enterprise data catalogue (Atlan or equivalent) for assigned domains: ownership, classification, lineage stubs, and quality status.
• Ensures new data assets introduced within assigned domains are catalogued, classified, and assigned ownership before reaching production consumers.
• Reviews and validates metadata standards compliance for data assets within assigned domains, flagging gaps or inconsistencies.
• Serves as the first-line resolution point for data ownership disputes, data definition conflicts, and policy exception requests within assigned domains.
• Documents policy exceptions with rationale, owner sign-off, and time-bound review dates, maintaining an auditable exception log.
• Supports regulatory and audit readiness by maintaining accurate, current documentation of governance posture within assigned domains.
• Partners with QA to validate that pipeline validation rules for assigned domains reflect current governance-defined quality dimensions and thresholds.
• Partners with Informatics to ensure data definitions and quality standards for assigned domains are accurately reflected in acceptance criteria before work enters delivery.
• Supports Data Engineering and Analytics Engineering in understanding governance requirements as they design new pipelines and data products within assigned domains.

Qualifications

• 3+ years of experience in data management, data quality, data analysis, or a closely related field with direct exposure to data governance, stewardship, or data quality operations.
• Demonstrated ability to apply data quality concepts in practice: identifying quality issues, documenting root causes, and tracking remediation through resolution.
• Experience working with data catalogue or data documentation tools; ability to maintain structured asset documentation to organizational standards.
• Strong analytical and organizational skills; able to manage domain stewardship responsibilities across multiple data assets and workstreams simultaneously.
• Effective cross-functional collaborator; able to work alongside engineering, QA, and clinical or operational teams to resolve data issues and enforce policy.
• Clear, precise written communication skills; able to document governance findings, policy exceptions, and quality issues for both technical and non-technical audiences.

Benefits

• Hybrid, remote and flexible on-site work schedules are available, based on the position.
• PANTHERx Rare Pharmacy also affords an excellent benefit package, including but not limited to medical, dental, vision, health savings and flexible spending accounts, 401K with employer matching, employer-paid life insurance and short/long term disability coverage, and an Employee Assistance Program!
• Generous paid time off is also available to all full-time employees, as well as limited paid time off for part-time employees.
• Of course we offer paid holidays too!