Senior Data Quality & Observability Lead

McKesson Corporation; Columbus (OH); On-site; USD 105,000 - 174,000; Full time

Benefits offered by this job

Total Rewards package

Annual bonus potential

Career growth opportunities

Job summary

McKesson is seeking a Senior Data Quality Analyst to build and mature a data quality capability across data platforms and business lines in Columbus, OH. You will translate business expectations into practical quality standards, rules, dashboards, and services, collaborating with data domain officers, stakeholders, and engineering teams.

You will design enterprise quality frameworks, stand up observability across pipelines, and drive remediation with data owners.

Qualifications

• 7+ years in data quality, observability, or data governance
• Experience building a data quality capability within a large organization
• Designing data quality frameworks and implementing observability tooling
• Strong understanding of ETL/ELT and streaming data quality

Responsibilities

• Design and implement enterprise data quality framework and metrics
• Stand up data observability across priority pipelines
• Define data quality rules with data owners to encode business meaning
• Build reusable rule libraries, dashboards, and alerts
• Lead triage and remediation with data owners and engineering
• Evaluate and deploy data quality tooling (Collibra, Informatica, Monte Carlo, GE)
• Establish SLAs/SLOs and report KPIs
• Coordinate with legal and compliance on HIPAA, GDPR, CCPA
• Train data stewards and users on observability signals
• Advise stakeholders on designing quality-built systems
• Proactively identify systemic data quality risks and elevation to leadership

Skills

Data quality

Data observability

SQL

Python

Communication

Root-cause analysis

Education

Bachelor's degree

Master's preferred

Tools

Collibra

Informatica

Monte Carlo

Great Expectations

Soda

Alation

Informatica Axon

Job description

McKesson is seeking a Senior Data Quality Analyst to build and mature a data quality capability across data platforms and business lines in Columbus, OH. You will translate business expectations into practical quality standards, rules, dashboards, and services, collaborating with data domain officers, stakeholders, and engineering teams.

You will design enterprise quality frameworks, stand up observability across pipelines, and drive remediation with data owners.