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Jobgether

Vice President, Analytics

Jobgether

Remote ・ フルタイム

最初に応募しよう

経験
10+ yrs
給料
USD 183,600 – USD 229,500 / year
求人情報
1
投稿済み
1時間前
Work mode
在宅勤務
教育
Bachelor’s degree in a STEM or analytical field
Eligibility
Candidates based in the United States who have substantial healthcare analytics leadership experience may apply. A bachelor’s degree in a STEM or analytical field is mandatory, and a master’s degree is favored.
Resume
Required to apply

仕事内容

Role overview

This senior leadership position is centered on enterprise data strategy and the modernization of healthcare analytics. You will guide how data is converted into meaningful insight to improve clinical results, operational effectiveness, and population health visibility. The role involves creating and leading a centralized analytics function that delivers reliable, scalable intelligence across medical, clinical, financial, and operational areas. You will shape a single data strategy that brings together claims, clinical, demographic, and social health information into practical decision support. Working with senior leaders, you will help align KPIs, strengthen performance reporting, and ensure consistent measurement across markets and business units. The position also has a strong focus on predictive and prescriptive analytics that support care delivery and provider decisions. This is a high-impact executive role where analytics plays a direct part in improving healthcare quality and system performance across the United States.

This opportunity is being handled for a partner organization, and that company manages applications and the next stages of the process.

Key accountabilities

  • Create and lead an enterprise Analytics Center of Excellence that connects claims, clinical, EMR/EHR, operational, and outside data sources.
  • Set enterprise-wide KPIs and measurement standards so reporting stays consistent across markets, payers, and business units.
  • Develop and lead a strong analytics team that supports clinical, financial, operational, and strategic stakeholders.
  • Work with data and technology leaders to ensure access to trusted data assets, effective tools, and scalable analytics infrastructure.
  • Design advanced predictive and risk stratification models that support population health management and clinical decision-making.
  • Put data governance practices in place to protect accuracy, consistency, and compliance across analytics outputs.
  • Produce dashboards, reports, and analytic tools that help executives track performance and make informed decisions.
  • Partner with clinical and research groups to improve data-driven care models and outcomes initiatives.

Requirements

  • At least 10 years of experience in analytics, informatics, medical economics, or a closely related field.
  • Hands-on experience with large healthcare datasets such as claims, clinical, EHR/EMR, and behavioral health data.
  • Demonstrated success leading and scaling analytics teams in complex, matrixed organizations.
  • Strong background in performance management, KPI design, and enterprise data standardization.
  • Experience building predictive models, risk stratification methods, and population health analytics.
  • Deep understanding of data governance, data architecture, and analytics best practices.
  • Excellent executive-level communication skills with the ability to turn complex information into strategy.
  • Bachelor’s degree in a STEM or analytical discipline is required; a master’s degree is preferred.

Benefits

  • Competitive executive base pay of USD 183,600 to 229,500.
  • Eligibility for performance-based bonus compensation.
  • Medical, dental, and vision coverage.
  • Retirement savings support along with financial wellness benefits.
  • Flexible remote arrangement within the United States.
  • Chance to lead enterprise-wide transformation in healthcare analytics.
  • Role with meaningful influence on patient care, provider performance, and population health outcomes.
  • Mission-driven and inclusive culture focused on innovation in healthcare delivery.

Additional information

This role is part of a hiring process that uses AI-assisted matching to compare candidates against core requirements. Shortlisted profiles are passed to the hiring company, which handles interviews, assessments, and final hiring decisions. Personal data is processed for candidate evaluation and sharing with the employer, and standard privacy rights apply. AI tools may assist with resume review and application analysis, but final decisions remain human-led.

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