Director, Analytics & Reporting

Alignment Health•Remote CA Outside Bay Area, CA

3d•$149,882 - $224,823

About The Position

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 of Analytics & Reporting is a senior leader and player-coach responsible for executing the analytics strategy through scalable capabilities, disciplined delivery, and measurable business outcomes. This role leads and develops a team of analytics professionals while remaining actively involved in solution design, complex analysis, executive reporting, data product development, and issue resolution. The Director oversees a growing analytics portfolio and establishes the processes, standards, and operating cadence needed to convert business needs into reporting, insights, and analytical solutions. This role partners with leaders across operations, clinical, finance, compliance, technology, and other business functions. Success requires building trust in data, improving the speed and quality of insights, reducing manual processes, and ensuring analytics support business decision-making.

Requirements

12+ years of experience in analytics, business intelligence, reporting, data products, decision support, or a related field.
5+ years of people leadership experience with responsibility for delivery, coaching, performance, and resource management.
Experience developing roadmaps and delivering analytics portfolios with measurable business outcomes.
Advanced SQL proficiency and experience with business intelligence platforms such as Power BI, Tableau, or Looker.
Experience with complex analytics, solution design, data validation, troubleshooting, and executive reporting.
Experience working with large, complex data sources and partnering with technology and data teams.
Ability to work effectively in a changing environment.
Portfolio management, prioritization, estimation, dependency management, and risk management skills.
Strong executive communication and influencing skills.
Expertise in analytics methodologies, KPI design, visualization, root-cause analysis, and data quality management.
Ability to balance strategic planning with hands-on execution.
Strong judgment, accountability, integrity, and discretion.
Knowledge of privacy, security, regulatory, and audit requirements related to analytics and reporting.

Nice To Haves

Healthcare or other regulated industry experience.
Experience with Python, R, SAS, modern data platforms, analytics engineering, workflow automation, or product-based delivery methods.
Advanced degree or professional certification in analytics, data management, project management, process improvement, quality, or related disciplines.
Experience with workflow automation, report scheduling, and data quality tools.
Familiarity with Medicare and Medicaid.
Experience with enterprise data governance, MDM, or audit frameworks.

Responsibilities

Executing the analytics strategy through scalable capabilities, disciplined delivery, and measurable business outcomes.
Leading and developing a team of analytics professionals.
Remaining actively involved in solution design, complex analysis, executive reporting, data product development, and issue resolution.
Overseeing a growing analytics portfolio.
Establishing the processes, standards, and operating cadence needed to convert business needs into reporting, insights, and analytical solutions.
Partnering with leaders across operations, clinical, finance, compliance, technology, and other business functions.
Building trust in data, improving the speed and quality of insights, reducing manual processes, and ensuring analytics support business decision-making.