Jobs · Information Technology

Data Governance Analyst

Alignment Health · United States · 2 days ago
RemoteRemoteInformation Technology$99k–$148k/yrFull-time

About the role

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. The Data Governance Analyst is an essential operational contributor on the Data Governance team, responsible for executing and sustaining governance practices across data quality, metadata, standards, and lifecycle management. Working alongside governance operations leaders, business data stewards, and technology teams, this role provides the analytical depth and hands-on execution that keeps governance processes running reliably and data assets well-documented. The Analyst plays a pivotal role in identifying, investigating, and resolving data quality issues that affect the accuracy of Medicare Advantage operations — from member eligibility and claims processing to provider data and risk adjustment reporting.

Responsibilities

  • Data Issue Analysis & Root Cause Resolution – Investigate data inconsistencies, anomalies, and quality failures across enterprise systems and data pipelines, performing thorough root cause analysis to identify the source and scope of issues. Document findings, recommend corrective actions, and collaborate with technical and business teams to drive timely resolution and prevent recurrence.
  • Data Quality Lifecycle Support – Support the definition, implementation, monitoring, and resolution of data quality rules and thresholds across key enterprise data domains. Track quality metrics over time, prepare summary reporting for governance stakeholders, and flag deteriorating trends that require escalation or intervention.
  • Metadata & Documentation Management – Maintain the accuracy, completeness, and currency of the enterprise data glossary, metadata catalog, and lineage documentation across governed data assets. Partner with data stewards and platform teams to ensure new and modified data assets are cataloged consistently and in accordance with governance standards.
  • Governance Lifecycle Tracking & Reporting – Track governance issues, decisions, and action items through their full lifecycle — from intake through resolution and adoption — using governance workflow tools and tracking systems. Produce regular status reports and dashboards that keep governance leaders and business stakeholders informed of open items, resolution progress, and trend patterns.
  • Data Integration & Validation Support – Support the validation of data across integration, transformation, and enrichment processes by executing data checks, comparing source-to-target results, and identifying discrepancies that require governance review. Collaborate with data engineering teams to ensure governance validation standards are applied consistently within data pipelines.
  • Compliance & Regulatory Data Support – Assist in ensuring that governed data assets meet HIPAA privacy requirements, CMS reporting standards, and Medicare Advantage-specific data obligations by supporting audit documentation, data access reviews, and compliance validation activities. Maintain awareness of regulatory data requirements and flag governance gaps that could introduce compliance risk.

This is an individual contributor role with no direct supervisory responsibilities.

Requirements

  • Required: 3–8 years of experience in data analysis, data governance, data quality management, or a related discipline
  • Required: Demonstrated experience working with both business and technical stakeholders on data-related challenges

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