Data Steward

PANTHERx Rare Pharmacy; Pittsburgh (Allegheny County); Hybrid; USD 75,000 - 110,000; Full time

Benefits offered by this job

Health benefits

Hybrid work arrangement

Paid time off

Job summary

PANTHERx Rare Pharmacy is seeking a Data Steward to operationalize the data governance program across clinical, operational, and analytics domains. You will be the day-to-day custodian of data quality, ownership accountability, and policy compliance, coordinating with Data Engineering and QA to ensure trustworthy data that meets governance standards.

In this role you will monitor quality metrics, resolve issues, document asset metadata, and support regulatory readiness.

Qualifications

• 3+ years in data management, data quality, or related field with governance exposure.
• Experience applying data quality concepts in practice, with root-cause analysis and remediation tracking.
• Experience with data catalogue or documentation tools and maintaining asset docs.
• Strong analytical and organizational skills across multiple data assets/workstreams.
• Effective cross-functional collaborator with engineering, QA, and clinical/operational teams.
• Clear written communication for governance findings and policy exceptions.

Responsibilities

• Serve as named steward for assigned data domains, ensuring data quality and policy compliance.
• Monitor data quality metrics: completeness, accuracy, timeliness, consistency, uniqueness.
• Identify and escalate data quality issues; track remediation with Data Engineering and Analytics Engineering.
• Participate in bi-weekly data quality reviews and report domain-level status to leadership.

Skills

Data governance

Data quality

Data analysis

Documentation

Cross-functional collaboration

Written communication

Education

Bachelor's degree in Information Systems, Computer Science, Data Management

Tools

Atlan

Collibra

Alation

DataHub

Job description

7,000 Diseases - 500 Treatments - 1 Rare Pharmacy

PANTHERx is the nation’s largest rare disease pharmacy, and we put the patient experience at the top of everything that we do.

If you are looking for a career in the healthcare field that embraces authentic dedication to patient care, you don’t need to look beyond PANTHERx. In every line of service, in every position and area of expertise, PANTHERx associates are driven to provide the highest quality outcomes for our patients.

We Are Seeking Team Members Who

• Are inspired and compassionate problem solvers;
• Produce high quality work;
• Thrive in the excitement of the ever-challenging environment of modern medicine; and
• Are committed to achieving superior health outcomes for people living with rare and devastating diseases.

At PANTHERx, we know our employees are the driving force in what we do. We cultivate talent and encourage growth within PANTHERx so that our associates can continue to explore their interests and expand their careers. Guided by our mission to provide uncompromising quality every day, we continue our strategic growth to further reach those affected by rare diseases.

Join the PANTHERx team, and define your own RxARE future in healthcare!

Location

Pittsburgh, PA (Hybrid)

Classification

Exempt

Status

Full-Time

Reports to

Senior Manager, Data Governance

Purpose

The Data Steward operationalizes the enterprise data governance program within assigned data domains, acting as the day-to-day custodian of data quality, ownership accountability, and policy compliance across PANTHERx's data assets. This role executes the stewardship activities that translate governance policy into practice: monitoring data quality, resolving data quality issues, maintaining asset documentation in the data catalogue, and serving as the domain-level escalation point for data ownership disputes and policy exceptions. The Data Steward works under the direction of the Senior Manager, Data Governance and in close coordination with Data Engineering, Analytics Engineering, QA, and Informatics to ensure that data moving through PANTHERx's platform is governed, documented, and trustworthy.

Responsibilities

Data Stewardship & Data Quality

• Serves as the named steward for assigned data domains (clinical, operational, or analytics), maintaining accountability for data quality, documentation, and policy compliance within those domains.
• 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.

Data Catalogue & Asset Documentation

• 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.
• Supports business glossary maintenance for assigned domains, ensuring plain-language definitions are accurate, current, and consistent with how the business and clinical teams use the data.

Policy Compliance & Issue Resolution

• Monitors compliance with published data policies (classification, retention, access, quality standards) within assigned domains, escalating non-compliance to leadership.
• 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.

Cross-Functional Collaboration

• 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.
• Participates in delivery planning forums and retrospectives for data workstreams within assigned domains, contributing governance perspective on requirements and pipeline decisions.
• Supports Data Engineering and Analytics Engineering in understanding governance requirements as they design new pipelines and data products within assigned domains.

Required 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.

Preferred 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 how they translate 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 how data assets are structured in medallion or 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 position works in a home office and professional office environment. When in-office this role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines, and communications via MS Teams.

Physical Demands

While performing the duties of this job, the employee is regularly required to sit, see, talk or hear. The employee frequently is required to stand; walk; use hands and fingers to handle or feel; and reach with hands and arms. Visual acuity is necessary for tasks such as reading and working with various forms of data on a screen. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.

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!

Equal Opportunity

PANTHERx Rare Pharmacy is an equal opportunity employer, and does not discriminate in recruiting, hiring, promotions or any term or condition of employment based on race, age, religion, gender, ethnicity, sexual orientation, gender identity, disability, protected veteran's status, or any other characteristic protected by federal, state or local laws.