Director, Data Engineering Analysis

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 Director, Data Engineering Analysis is a hands-on analytical leader responsible for driving end-to-end data requirements, quality, and operational insight across our Medicare Advantage platform. This role works closely with operational, clinical, actuarial, and technology stakeholders to ensure data assets are accurate, trusted, and fit for decision-making at all levels of the organization. The Director leads the data analysis team, resolves production and customer-facing data issues, and champions continuous improvement in data quality and interoperability standards. Success in this role is measured by the reliability of data outputs, the speed and quality of issue resolution, and the team's ability to deliver trusted analytics that drive business outcomes. Job Duties / Responsibilities

(May include but are not limited to)

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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.

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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.

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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.

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Apply Healthcare Data Standards & Interoperability — Serve as the subject matter authority for EDI and healthcare data standards including X12 834/837 transactions, claims, membership, and provider domains, ensuring data interoperability across systems and partners.

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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.

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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.

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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.

Supervisory Requirements: 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.

Job Requirements

Required:

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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.

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Demonstrated experience in a healthcare payer, managed care, or Medicare Advantage environment, with direct exposure to health plan data domains.

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Proven hands-on experience leading data requirements gathering and quality improvement acro