Job Description

Salary: $104,600 - 174,400 per year Requirements:

• You have a bachelors degree in information technology, computer science, business administration, or a related field, or equivalent experience; a masters degree is preferred.
• You bring typically 7 or more years of experience in data quality, data observability, data engineering, or data governance, including hands-on experience building a data quality capability in a large, complex organization.
• You have demonstrated experience designing data quality frameworks and implementing data observability tools and practices.
• You understand data pipelines and architecture, including how quality and observability checks fit into ETL/ELT and streaming workflows.
• You have hands-on experience with data quality or observability platforms such as Collibra, Informatica, Monte Carlo, Great Expectations, or Soda, and catalog or lineage tools such as Alation or Informatica Axon.
• You are proficient in SQL and at least one scripting language, preferably Python, for developing and automating quality checks.
• You have strong analytical and root-cause problem-solving abilities, and can trace data defects across systems from symptom to source.
• You communicate technical findings in business-relevant terms to technical and non-technical stakeholders.
• You can encourage adoption of shared capabilities across teams without direct authority.
• Familiarity with healthcare data standards and regulations such as HIPAA is desirable; a data quality or governance certification such as CDMP is a plus.

• Well develop an enterprise data quality framework, including dimensions, scoring, thresholds, and escalation paths, to measure quality consistently across domains.
• Well establish data observability for priority pipelines and datasets, monitoring freshness, volume, schema changes, distributions, lineage, and anomalies.
• Well define and implement quality rules for critical data elements in partnership with data owners and stewards.
• Well build reusable rule libraries, monitoring dashboards, and alerts that downstream teams can adopt.
• Well assess data quality, investigate root causes, and work with data owners and engineering teams to resolve issues.
• Well evaluate, implement, and administer data quality and observability tools as part of our data catalog and lineage environment.
• Well set data quality SLAs and SLOs with data owners and platform teams, and report KPIs such as completeness, accuracy, timeliness, and incident resolution time.
• Well collaborate with legal, compliance, and privacy teams to align quality controls with regulatory requirements while avoiding duplication of governance processes.
• Well train data stewards and business users on our framework, tools, observability signals, and escalation processes.
• Well advise stakeholders on incorporating data quality into new systems and pipelines from the outset.
• Well identify systemic quality risks and raise capability gaps with leadership.

• ETL
• Informatica
• Python
• SQL

More:

At McKesson, we work across healthcare to make quality care more accessible and affordable, and we foster a culture that supports growth, new ideas, and meaningful impact. CoverMyMeds is seeking a Senior Data Quality Analyst to build and mature a comprehensive data quality capability, working with Data Domain Officers, business stakeholders, data teams, and contractors to create practical, scalable standards and services. We offer a competitive total rewards package; the base pay range for this role is $104,600–$174,400, with potential annual bonus or long-term incentive opportunities. Compensation depends on factors including experience, skills, performance, equity, and geographic market. We are an equal opportunity employer and provide opportunities to job seekers, including those with disabilities.

last updated 42 week of 2026

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