Centivo Inc. logo

VP Reporting & Analytics

Job Overview

Location

Remote

Job Type

Full-time

Category

Data & Analytics

Date Posted

May 3, 2026

Full Job Description

đź“‹ Description

  • • The VP of Reporting & Analytics leads Centivo’s reporting and analytics function, owning the strategy, delivery, and continuous improvement of data insights to support client, clinical, provider, operational, and business decision-making.
  • • The role involves defining and executing analytics strategy, establishing a standard library of reporting insights, driving enterprise-wide data literacy, and championing insight-to-action to translate analytics into strategic recommendations.
  • • The VP partners with senior leaders across Claims Operations, Member Operations, Care, Finance, Sales & Marketing, and Corporate to align analytics capabilities with business priorities and collaborates with the head of data architecture to ensure alignment between analytics products and data infrastructure.
  • • The role includes owning BI infrastructure strategy, leading BI tool migrations, managing vendor relationships, directing a team of data analysts, and ensuring delivery excellence through process rigor, automation, and performance tracking against SLAs.
  • • The position offers the opportunity to lead analytics innovation in a mission-driven health tech company, build a high-performing analytics organization, and drive AI-enabled analytics capabilities in accordance with Centivo’s AI Governance policies.

🎯 Requirements

  • • Bachelor’s degree required; advanced degree (MBA, MS, or related) preferred.
  • • 5 years of experience leading analytics or reporting teams, including direct management of analysts and team leads.
  • • 5 years of healthcare industry analytics experience with a health plan (TPA strongly preferred) and/or health systems and/or HealthTech companies, with hands-on experience with core datasets (claims, EHR, enrollment, provider, care coordination).
  • • Strong working knowledge of modern BI and analytics tools, especially Tableau, and additionally AWS Quicksight and Power BI; data platforms such as Databricks, Snowflake, or Microsoft Azure Fabric; and analytical tools such as Python or R.
  • • Experience with advanced analytics including machine learning and predictive modeling; familiarity with agentic AI and automation in an analytics context is a strong differentiator.
  • • Demonstrated ability to build consensus across business and technology stakeholders to drive prioritization and investment decisions.

🏖️ Benefits

  • • Opportunity to lead analytics strategy and innovation in a mission-driven company focused on affordable, high-quality healthcare for self-funded employers.
  • • Leadership role with direct impact on business decisions across clinical, operational, and financial domains, supporting Centivo’s goal of saving employers 15–30% on healthcare costs.
  • • Remote work flexibility with options to work from Atlanta, Buffalo, or fully remote, with periodic travel to Centivo offices as needed.
  • • Access to modern data and analytics stack including Tableau, AWS Quicksight, Power BI, Databricks, Snowflake, Azure Fabric, Python, and R.
  • • Chance to mentor and develop a team of data analysts while building a high-performing analytics organization aligned with Centivo’s leadership behaviors and values.
  • • Exposure to AI-enabled analytics and agentic AI initiatives within a governed framework, supporting continuous learning and innovation in advanced analytics.

Skills & Technologies

Python
Go
AWS
Azure
Remote
Degree Required

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Centivo Inc. logo
Centivo Inc.
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About Centivo Inc.

Centivo is a health plan administrator that partners with self-insured employers to provide affordable healthcare benefits. It builds custom networks of high-value primary care providers and specialists, emphasizing coordinated care, transparent pricing, and payment innovations like prospective bundled payments. The platform offers members digital tools for provider search, cost estimates, and care navigation, while giving employers predictable costs and data analytics to improve population health outcomes.

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