AVP, Enterprise Analytics & Insights

Overview

Are you a visionary analytics leader who thrives at the intersection of strategy, data, and executive influence—turning insights into measurable outcomes? Can you lead and inspire high-performing teams to deliver advanced analytics that transform payer-provider partnerships and drive digital innovation? If so, please join Quartz as the AVP, Enterprise Analytics & Insights.  

 

The AVP, Enterprise Analytics & Insights is a strategic and operational leader responsible for advancing reporting, analytics, and data-driven insights across Quartz and our provider sponsors. Reporting directly to the Chief Information and Digital Officer (CIDO), this role shapes enterprise data strategy, strengthens payer-provider collaboration, and fosters a culture of data literacy and insight-driven performance. This senior leader will lead the vision, roadmap, governance, and execution of enterprise analytics—delivering high-quality insights that support innovation, operational effectiveness, and population health outcomes. 

 

Benefits: 

• Opportunity to lead enterprise analytics and insights at a provider-sponsored health plan, directly impacting member experiences, population health outcomes, and operational effectiveness.
• Strategic seat at the table with senior executives, provider sponsors, and customers providing key insights that enhance operational and strategic performance.
• Blend of strategic planning and hands-on leadership, shaping both innovation and execution.
• Mission-driven organization with a strong community focus and collaborative culture.
• Starting salary based upon skills and experience: $192,000 – $240,000 plus a robust benefits package. 

Responsibilities

Enterprise Leadership & Strategy

• Develop and maintain a comprehensive enterprise reporting, analytics, and insights strategy and roadmap.
• Lead prioritization and execution of key analytics initiatives aligned with corporate goals.
• Drive digital transformation through enhanced data mining, automation, and AI enablement.
• Establish mechanisms to ensure data credibility, governance, and regulatory compliance.
• Embed agile methodologies focused on execution, outcomes, and continuous improvement. 

Reporting, Analytics & Insights Delivery

• Lead reporting, analytics, and insights for Quartz and provider sponsors (internal and external stakeholders).
• Oversee recurring operational reporting with the highest standards of quality and validation.
• Direct advanced analytics initiatives that address complex and ambiguous business challenges, including:
  • Healthcare payer outcomes
  • Operational and financial reporting
  • Leading and lagging indicators
  • Trends surveillance
  • Actuarial analysis
  • Population health and clinical programs
  • Quality improvement
  • Customer conversion and growth initiatives
• Deliver measurable cost savings, operational efficiencies, and value through data exchange. 

Stakeholder & Partnership Management

• Strengthen partnerships with enterprise leaders, provider sponsors, vendors, agents/brokers, and employer groups.
• Collaborate with leadership to define and deliver KPIs and strategic performance metrics.
• Influence executive stakeholders through compelling, data-driven storytelling.
• Ensure insights are aligned with payer-provider requirements and organizational objectives. 

Enterprise Capabilities & Governance

• Oversee enterprise reporting, analytics, and insights competencies – improving data literacy across the enterprise.
• Partner cross-functionally with enterprise architecture, engineering, infrastructure, information security, and business capability teams.
• Improve user access to reporting, rolling out self-service reporting capabilities, while maintaining rigorous data protection and privacy standards.
• Establish and enforce corporate data governance policies.
• Oversee data workflows and lifecycle management. 

Qualifications

• Bachelor’s degree in Computer Science, Information Management, Data Science, or related field preferred. Equivalent, relevant professional experience will be considered in lieu of education.  
• 15+ years of progressively responsible experience in data management, analytics, and/or business intelligence, with at least 7 years of formal leadership experience. 
• Expertise in Data Engineering & Data Management, Data Quality & Validation, ETL processes & tools, Master Data Management (MDM), Metadata Management
• Prior experience working in