Hiring: Director, Data Engineering Analysis Company: Alignment Health Location: United States Job Posted Time: 2026-09-11 11:51:43 Target Skills & Keywords : AWS, Agile, Azure, GCP, Medicare, SQL About the job Experience: •10 years of progressive experience in data analysis, data operations, or data management roles, with at least 3 years in a leadership or senior individual contributor capacity. •At least 3 years in a leadership or senior individual contributor capacity. Required Skills: •(May include but are not limited to) •Lead Data Requirements & Stakeholder Analysis — Partner with operational, analytical, and platform stakeholders to define, gather, and translate end-to-end data requirements into actionable specifications that meet both business and technical needs. •Drive Data Quality & Continuous Improvement — Initiate and sustain data quality improvement processes across health plan data domains, including claims, membership, member, and provider data, ensuring completeness, accuracy, and consistency. •Own Data Operations & Issue Resolution — Direct the triage, analysis, and resolution of Data Ops issues affecting production environments and customer-facing outputs, minimizing disruption to plan operations. •Evaluate Data Sources for Completeness & Fitness — Assess internal and external data sources for quality, coverage, and suitability to support analytical, operational, and regulatory use cases across Medicare Advantage lines of business. •Enable the Data Platform — Apply working knowledge of cloud data platforms, streaming architectures, automation, and data quality as a service to support scalable, modern analytics infrastructure in partnership with data engineering. •Develop and Mentor the Data Analysis Team — Build team capability through active mentorship, coaching, and change leadership, fostering a culture of analytical rigor, intellectual curiosity, and continuous learning. •Healthcare Data Standards & Interoperability — Deep knowledge of X12 EDI (834/837), HL7, FHIR, and healthcare data domains including claims, membership, member, and provider; experience with data interoperability across payer systems and partners. Qualifications: •Fulfill supervisory responsibilities in accordance with organization policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. •8–10 years of progressive experience in data analysis, data operations, or data management roles, with at least 3 years in a leadership or senior individual contributor capacity. •Demonstrated experience in a healthcare payer, managed care, or Medicare Advantage environment, with direct exposure to health plan data domains. •Proven hands-on experience leading data requirements gathering and quality improvement across complex, multi-domain data environments. •Bachelor's degree in Computer Science, Information Systems, Data Science, Health Informatics, Statistics, or a related field. •An equivalent combination of education and demonstrated professional experience will be considered. •Master's degree in Data Science, Health Informatics, Business Analytics, or a related discipline. •Demonstrated proficiency with SQL and at least one BI/reporting tool (e.g., Power BI, Tableau, SSRS) through work experience or equivalent training. •Working familiarity with healthcare data file formats and standards (EDI, HL7, X12, custom file formats) demonstrated through direct experience. •Formal training or certification in data governance, data quality, or healthcare informatics (e.g., CDMP, CHDA, or equivalent). Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!