Senior Data Quality & Observability Lead

McKesson; Atlanta (GA); On-site; USD 105,000 - 174,000; Full time

Job summary

McKesson is seeking a Senior Data Quality Analyst to build a data quality capability from the ground up across data platforms. You will partner with Data Domain Officers, business stakeholders, data teams, and contractors to translate business expectations into practical standards, rules, dashboards, and services that can be implemented across our data platforms and business lines.

This highly visible opportunity is ideal for a collaborative, creative self-starter who is comfortable navigating

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field (Master's degree preferred) or related experience.
• Typically requires 7+ years of experience in data quality, data observability, data engineering, or data governance, including direct experience building a data quality capability within a large, complex organization.
• Proven experience designing data quality frameworks and implementing data observability tooling and practices.
• Strong understanding of data pipelines, data architecture, and how quality and observability checks integrate into ETL/ELT and streaming workflows.
• Hands-on experience with data quality/observability platforms (e.g., Collibra, Informatica, Monte Carlo, Great Expectations, Soda) and catalog/lineage tools (e.g., Alation, Informatica Axon)
• Proficiency with SQL and at least one scripting language (Python preferred) for building and automating quality checks.

Responsibilities

• Design and build the enterprise data quality framework — dimensions, scoring methodology, thresholds, and escalation paths.
• Stand up data observability capability (freshness, volume, schema drift, distribution, lineage-aware anomaly detection).
• Define and operationalize data quality rules and checks for critical data elements.
• Build the data quality service layer: reusable rule libraries, monitoring dashboards, and alerting.
• Conduct data quality assessments, triage root causes, and drive remediation plans with data owners and engineering teams.
• Evaluate, implement, and administer data quality and observability tooling as part of the broader data catalog and lineage stack.
• Establish data quality SLAs/SLOs and report KPIs to track capability health.
• Partner with legal, compliance, and privacy teams to ensure quality controls meet regulatory requirements.
• Train data stewards and business users on the framework, tooling, and observability signals.
• Act as SME on data quality and observability practices and advise on scalable designs.
• Proactively identify systemic data quality risks and elevate capability gaps.

Skills

SQL

Python

Data quality

Observability

Stakeholder communication

Education

Bachelor's degree in IT/CS/Business or related (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 a data quality capability from the ground up across data platforms. You will partner with Data Domain Officers, business stakeholders, data teams, and contractors to translate business expectations into practical standards, rules, dashboards, and services that can be implemented across our data platforms and business lines.

This highly visible opportunity is ideal for a collaborative, creative self-starter who is comfortable navigating