Data Governance Analyst

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. JOB DUTIES / RESPONSIBILITIES   1. 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.   2. 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.   3. 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.   4. 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.   5. 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.   6. 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.   SUPERVISORY RESPONSIBILITIES   This is an individual contributor role with no direct supervisory responsibilities.   JOB REQUIREMENTS   Experience   Required:   3–8 years of experience in data analysis, data governance, data quality management, or a related discipline   Demonstrated experience working with both business and technical stakeholders on data-related challenges   Working knowledge of data quality, metadata, and documentation practices in an enterprise environment   Preferred:   Healthcare industry experience, particularly in a payer, managed care, or Medicare Advantage environment   Exposure to data catalog, MDM, or data quality tools in a production setting   Familiarity with CMS data requirements, HIPAA, or healthcare claims data structures   Education   Required:   Bachelor's degree in Information Systems , Computer Science, Data Analytics, Healthcare Informatics, Business, or a related field; equivalent professional experience will be considered   Preferred:   Advanced coursework or certification in data management, data analytics, or health informatics   Training   Required:   Working knowledge of SQL for data querying, validation, and analysis   Familiarity with HIPAA data handling requirements and basic data privacy principles   Preferred:   Exposure to enterprise data catalog platforms (e.g., Microsoft Purview, Alation) or data quality tools (e.g.,   Acceldata , Informatica DQ)   Introductory training in DAMA-DMBOK data management principles or equivalent governance framework   SKILLS & COMPETENCIES   Technical / Role-Specific Skills   SQL & Data Querying:   Proficiency   in SQL for data extraction, validation, comparison, and ad hoc analysis across relational databases and data warehouses   Data Quality Analysis & Validation:   Ability to define, execute, and interpret data quality checks; experience   identifying   data anomalies, assessing impact, and documenting findings for governance review   Metadata & Documentation Management:   Skill in   maintaining   data glossary entries, cataloging data assets, and documenting lineage in a consistent and accessible format   Data Catalog & Governance Tool Exposure:   Familiarity with or willi