Data QA Manager – Hybrid Healthcare Analytics

PANTHERx Rare Pharmacy; Pittsburgh (Allegheny County); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision

Health savings

401K with employer matching

Life insurance

Disability coverage

Paid time off

Paid holidays

Employee Assistance Program

Job summary

PANTHERx Rare Pharmacy in Pittsburgh is seeking a Manager, Quality Assurance, Data to lead the data QA program. The role owns test strategy, planning, and validation for data pipelines, products, and analytics outputs.

You will mature the practice from scripting to structured plans, partner with Data & Analytics and Governance, and drive measurable data quality across the lifecycle. This is a hybrid on-site/office role in Pittsburgh with strong collaboration and growth opportunities.

Qualifications

• 7+ years of progressive QA experience, with at least 3 years focused on data quality, data pipeline validation, or analytics QA in a structured delivery environment.
• Demonstrated experience maturing data QA practices: moving from ad‑hoc scripting to formal test plans, documented test cases, and regression coverage.
• Hands‑on experience with data quality testing frameworks and tooling (Great Expectations, dbt tests, Soda, or equivalent).
• Deep familiarity with data quality dimensions (completeness, accuracy, timeliness, consistency, uniqueness) and how they translate into executable validation rules.
• Experience with cloud‑based data platforms (Azure, AWS, or GCP) and modern data stack environments (Databricks, Snowflake, or equivalent).
• Proven ability to lead QA teams and build adoption of structured QA methodology across peer engineering functions.
• At least 2 years in a people management or team lead capacity, with experience hiring, developing, and retaining QA practitioners.

Responsibilities

• Owns the test strategy, test planning standards, and test execution methodology for the data QA track, aligned to ASTQB principles and the enterprise QA framework.
• Matures the Data QA function from ad‑hoc scripting to structured test plans, formal test case documentation, and regression coverage across data pipelines, transformation layers, and analytics outputs.
• Defines data quality validation checkpoints at ingestion, transformation, and delivery layers in partnership with Data & Analytics engineering leadership.
• Operationalizes governance‑defined data quality dimensions (completeness, accuracy, timeliness, consistency, uniqueness) as executable test criteria in pipeline validation suites.
• Leads the development and execution of formal test suites for Tier 1 and Tier 2 data pipelines, progressing from basic checks to structured validation coverage.
• Establishes regression coverage for data pipelines, ensuring changes to pipeline logic, data models, or source systems do not introduce regressions.
• Partners with Data Engineering and Analytics Engineering on pipeline architecture decisions that affect validation feasibility, observability, and quality checkpoints.
• Manages defect tracking and reporting for data quality issues, including severity classification, escalation thresholds, and root cause review cadence.

Skills

QA leadership

Data quality testing

Test automation

People management

Cloud platforms

Cross-functional collaboration

ISTQB/ASTQB

Education

Bachelor's degree in Computer Science or related field

Tools

Great Expectations

dbt tests

Soda

Monte Carlo

Databricks

Snowflake

Job description

PANTHERx Rare Pharmacy in Pittsburgh is seeking a Manager, Quality Assurance, Data to lead the data QA program. The role owns test strategy, planning, and validation for data pipelines, products, and analytics outputs.

You will mature the practice from scripting to structured plans, partner with Data & Analytics and Governance, and drive measurable data quality across the lifecycle. This is a hybrid on-site/office role in Pittsburgh with strong collaboration and growth opportunities.