Senior Vice President, Business Intelligence and Insights

Provisions Group

United States

In loco

USD 250.000 - 360.000

Tempo pieno

5 giorni fa
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Descrizione del lavoro

Provisions Group seeks an accomplished Senior Vice President of Business Intelligence & Insights to define and drive a enterprise BI strategy leveraging AWS/Snowflake and modern BI tooling. You will lead a small team, partner with Product, Engineering, and Client Success, and elevate analytics across internal and client-facing workflows.

The role emphasizes governance, advanced analytics, and executive storytelling to shape product performance, client outcomes, and revenue growth.

Competenze

  • 10+ years in BI or data leadership roles.
  • 5+ years in healthcare revenue cycle/ payer analytics.
  • 3+ years in VP/SVP/Senior Director leadership.
  • Strong SQL and data modeling background with cloud data platforms.
  • Hands-on with modern BI tools; Astrato experience preferred.
  • Proven ability to build and scale analytics functions and drive adoption.
  • Experience leading remote teams in fast-paced tech-enabled environments.
  • Knowledge of HIPAA compliance and healthcare data privacy.

Mansioni

  • Develop and execute multi-year BI strategy aligned with goals.
  • Present insights to senior leadership and board stakeholders.
  • Own BI governance, KPI standards, and reporting roadmap.
  • Lead and mentor BI analysts and analytics leadership.
  • Partner with Product, Engineering, Operations, and Client Success.
  • Drive adoption of modern BI tools and self-service analytics.
  • Oversee enterprise BI environment and semantic layer.
  • Modernize Tableau reporting to AWS/Snowflake stack.
  • Translate data into clear, actionable insights for executives.

Conoscenze

Executive leadership
SQL
Data modeling
Analytics expertise
BI tools (Astrato/Tableau/Power BI)
Healthcare data/RCM analytics
Stakeholder management
Remote team leadership
Strategic thinking
Privacy & security

Formazione

Bachelor’s degree in Data Science, Statistics, Computer Science, Healthcare Informatics, or related field
Master’s degree or PhD preferred

Strumenti

Snowflake
Astrato
dbt
Fivetran
Tableau
Power BI
AWS

Descrizione del lavoro

The Senior Vice President of Business Intelligence & Insights is an executive leader responsible for defining and executing the enterprise-wide analytics and business intelligence strategy. This role owns the full BI lifecycle — reporting, operational intelligence, advanced analytics, and insight delivery — ensuring data-driven decision-making that improves product performance, client outcomes, and revenue growth. The SVP leads a modern BI function built on a cloud data stack (AWS/Snowflake) and a next-generation visualization platform.

Key Responsibilities
Strategic Leadership
  • Develop and execute a multi-year BI strategy aligned with business and product goals, including denial management, collections optimization, payer performance, and predictive/prescriptive analytics.
  • Serve as the executive bridge between data assets and business outcomes, presenting insights to senior leadership and board-level stakeholders.
  • Own BI platform governance, KPI standards, reporting roadmap, requirements intake, and stakeholder alignment.
Team & Organizational Leadership
  • Lead and mentor a high-performing team including BI analysts and a Director of Analytics (small team at start; future growth expected).
  • Partner closely with Product, Engineering, Operations, and Client Success to embed analytics into workflows and product offerings.
  • Drive adoption of modern BI tools and self-service analytics across internal and client-facing audiences.
Platform Ownership & Modernization
  • Oversee the enterprise BI environment, including semantic layer design, governed reporting, and certified report libraries.
  • Modernize legacy Tableau reporting into actionable, self-service analytics using the organization’s AWS/Snowflake stack and current BI platform.
  • Validate long-term BI platform direction and ensure alignment with business needs.
Analytics Delivery
  • Build advanced dashboards, scorecards, and reporting packages covering RCM KPIs (e.g., net collection rate, days in AR, denial rate, first-pass resolution rate, clean claim rate).
  • Deliver refreshed internal performance scorecards and client QBR materials.
  • Translate complex data into clear, actionable insights for executives, operational leaders, and customers.
Governance & Compliance
  • Ensure data governance, quality, and compliance with healthcare regulations including HIPAA.
  • Partner with data engineering on schema changes, data modeling, and platform enhancements.
Experience Requirements
  • 10+ years in BI, analytics, or data leadership.
  • 5+ years in healthcare revenue cycle management, payer operations, or healthcare analytics.
  • 3+ years in VP/SVP/Senior Director-level leadership.
  • Strong SQL and data modeling background; experience with Snowflake or similar cloud data platforms.
  • Hands-on experience with modern BI tools; Astrato experience preferred but not required.
  • Proven success building and scaling analytics functions and driving business adoption.
  • Experience leading remote teams in fast-paced, technology-enabled environments.
Education
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Healthcare Informatics, or related field required.
  • Master’s degree or PhD preferred.
Required Skills
  • Deep expertise in analytics, data engineering concepts, data science, and visualization tools (SQL, Python, R, Astrato/Tableau/Power BI).
  • Strong understanding of healthcare data standards, claims data, and RCM workflows.
  • Executive presence with exceptional communication and stakeholder management.
  • Strategic thinker with strong problem-solving and solutioning capabilities.
  • Commitment to data privacy, security, and ethical data use.
Preferred Skills
  • Astrato-certified or experience with production deployments.
  • Experience with dbt, Fivetran, or modern data stack tools.
  • Familiarity with FHIR APIs and interoperability standards.
  • Experience building predictive/prescriptive models.
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