Senior Data Quality Analyst

McKesson

. Design and build the enterprise data quality framework, including dimensions, scoring methodology, thresholds, and escalation paths .

Posted 10/6/2026full-timeUnited StatesSenior💰 $104,600 - $174,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing data quality frameworks and observability tooling, with a strong focus on data governance and compliance within complex organizations. Proficient in SQL and scripting languages, with a solid understanding of data architecture and pipelines.

Highest-signal resume keywords

Data Quality Framework DesignData Observability Tooling ImplementationSQL ProficiencyData Quality Certification (CDMP)Healthcare Data Standards Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality AssessmentData GovernanceETL/ELT ProcessesData ArchitectureRoot-Cause Problem SolvingScripting Language (Python Preferred)Data Quality Rules DefinitionData Pipeline DesignAnomaly DetectionData Quality SLAs/SLOs

Soft Skills

Strong Communication SkillsAnalytical SkillsStakeholder EngagementTraining and MentoringInfluencing Without Authority

Tools & Technologies

CollibraInformaticaMonte CarloGreat ExpectationsSodaAlationInformatica Axon

Certifications & Qualifications

CDMP

Industry Keywords

Data QualityData ObservabilityHealthcare Data StandardsHIPAA ComplianceData Governance

Tech Stack

Tools & technologies

ETLInformaticaPythonSQL

About the role

Key responsibilities & impact

Design and build the enterprise data quality framework, including dimensions, scoring methodology, thresholds, and escalation paths
Establish data observability across priority pipelines and datasets, including freshness, volume, schema drift, distribution, and lineage-aware anomaly detection
Define and operationalize data quality rules and checks for critical data elements
Build reusable rule libraries, monitoring dashboards, and alerting services
Conduct data quality assessments, triage root causes, and drive remediation plans through closure
Evaluate, implement, and administer data quality and observability tooling
Establish data quality SLAs/SLOs and report quality and observability KPIs
Partner with legal, compliance, and privacy teams on regulatory quality controls
Train data stewards and business users on frameworks, tooling, observability signals, and issue escalation
Advise stakeholders on designing systems and pipelines with quality built in
Identify systemic data quality risks and escalate capability gaps to leadership

Requirements

What you’ll need

Bachelor's degree in Information Technology, Computer Science, Business Administration, or a related field, or related experience
7+ years of experience in data quality, data observability, data engineering, or data governance
Direct experience building a data quality capability within a large, complex organization
Experience designing data quality frameworks and implementing data observability tooling and practices
Strong understanding of data pipelines, data architecture, ETL/ELT, and streaming workflows
Hands-on experience with Collibra, Informatica, Monte Carlo, Great Expectations, Soda, Alation, or Informatica Axon
Proficiency with SQL and at least one scripting language; Python preferred
Knowledge of healthcare industry data standards and regulations such as HIPAA is highly desirable
Data quality or governance certification such as CDMP is a plus
Strong analytical and root-cause problem-solving skills
Strong communication skills for technical and non-technical stakeholders
Ability to drive adoption across teams without direct authority

Benefits

Comp & perks

Competitive compensation package
Annual bonus or long-term incentive opportunities may be offered
Equity may be included as part of compensation
Reasonable accommodation for job search or application