Data Steward

PANTHERx is the nation’s largest rare disease pharmacy, prioritizing the patient experience in all aspects of our work. We seek team members who are inspired, compassionate problem solvers producing high-quality work and thriving in the dynamic environment of modern medicine. Our employees drive our mission to achieve superior health outcomes for people living with rare and devastating diseases. We cultivate talent and encourage growth, allowing associates to explore their interests and expand their careers.

About the role

The Data Steward is the accountable governance authority for assigned data domains, exercising discretion and independent judgment to interpret enterprise data governance policy and apply it to data assets, workstreams, and delivery decisions. This role determines governance policy application where standards are ambiguous, adjudicates data ownership and definition disputes, evaluates policy exception requests, and sets remediation priorities for data quality issues affecting clinical, operational, and analytics data.

Reporting to the Senior Manager, Data Governance, the Data Steward operates with substantial autonomy within assigned domains, partnering with Data Engineering, Analytics Engineering, QA, and Informatics to ensure governed, documented, and trustworthy data.

Responsibilities

• Domain Governance & Data Quality
  • Serves as the accountable governance decision-maker for assigned data domains (clinical, operational, or analytics), owning data quality posture, policy application, and compliance risk.
  • Assesses data quality across governance-defined dimensions (completeness, accuracy, timeliness, consistency, and uniqueness), determining when deviations require intervention versus acceptable variance.
  • Investigates root causes of data quality issues, weighing evidence across pipelines, source systems, and business processes to assign accountability and set remediation priorities.
  • Advises leadership in bi-weekly governance reviews on domain quality trends, emerging risks, and remediation strategy, recommending policy or practice changes based on findings.
• Data Catalogue & Asset Governance
  • Owns the governance record for assigned domains in the enterprise data catalogue (Atlan or equivalent), determining ownership assignments, data classifications, and quality status.
  • Evaluates new data assets before production, ensuring cataloguing, classification, and ownership meet governance standards before sign-off.
  • Reviews metadata standards compliance, identifying gaps and negotiating remediation with asset owners and engineering teams.
  • Curates the business glossary for assigned domains, reconciling conflicting definitions to establish authoritative plain-language definitions.
• Policy Interpretation & Exception Adjudication
  • Interprets published data policies (classification, retention, access, and quality standards) for specific assets and new use cases, escalating systemic gaps.
  • Adjudicates data ownership disputes, definition conflicts, and policy exception requests as the first-line decision authority.
  • Dispositions policy exceptions with documented rationale, owner sign-off, and time-bound reviews, maintaining an auditable log.
  • Evaluates regulatory and audit readiness, driving improvements to governance documentation, controls, or evidence.
• Cross-Functional Advisory
  • Advises QA on pipeline validation rules to ensure alignment with governance-defined quality dimensions and thresholds.
  • Advises Informatics on data definitions and quality standards for acceptance criteria, resolving definitional conflicts.
  • Represents data governance in delivery planning and retrospectives, influencing requirements and pipeline design.
  • Counsels Data Engineering and Analytics Engineering on governance standards for new pipeline and data product designs.

Requirements

• 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 sound judgment in assessing data quality and governance risk, including issue identification, business impact evaluation, root cause analysis, and remediation.
• Experience with data catalogue or documentation tools; ability to maintain structured asset documentation to organizational standards.
• Strong analytical and organizational skills to manage domain stewardship across multiple data assets and workstreams, balancing priorities and driving remediation.
• Effective cross-functional collaborator, able to influence stakeholders across engineering, QA, and clinical/operational teams to resolve data issues and enforce governance policy.
• Clear, precise written communication skills for documenting governance findings, policy exceptions, and quality issues for technical and non-technical audiences.

Qualifications

• Experience in healthcare, specialty pharmacy, or regulated industries; familiarity with HIPAA, NCPDP, HL7, or clinical data standards.
• Familiarity with DAMA-DMBOK data governance concepts and translating framework principles into operational stewardship practice.
• Hands-on experience with enterprise data catalogue tooling (Atlan, Collibra, Alation, DataHub, or equivalent).
• Exposure to modern cloud data platforms (Azure Databricks, Snowflake, or equivalent) and medallion/layered architectures.
• Familiarity with data quality frameworks or tooling (Great Expectations, Soda, Monte Carlo, or equivalent).
• CDMP (Certified Data Management Professional) certification or equivalent, or active pursuit of certification.
• Bachelor's degree in Information Systems, Computer Science, Data Management, or a related field, or equivalent experience.

Work Environment

This hybrid position works in a home office and professional office environment. Routine use of standard office equipment such as computers, phones, and communications via MS Teams is required.

Physical Demands

The role requires regular sitting, seeing, talking, or hearing. Frequent standing, walking, use of hands, and reaching with hands and arms is necessary. Visual acuity is required for reading and working with data on screens. Reasonable accommodations may be made for individuals with disabilities.

Benefits

• Hybrid, remote, and flexible on-site work schedules.
• Comprehensive benefits package including medical, dental, vision, health savings, and flexible spending accounts.
• 401K with employer matching.
• Employer-paid life insurance and short/long-term disability coverage.
• Employee Assistance Program.
• Generous paid time off and paid holidays for full-time employees.