VP, Insights and Analytics

The Vice President, Insights and Analytics is accountable for the end‑to‑end analytics ecosystem at Point C, from source data quality through enterprise data platforms to the delivery of actionable insights for brokers, employers, and internal leaders. Reporting to the Chief Information Officer, this role owns the strategy, operating model, and execution for analytics at scale — ensuring consistent, accurate, and trusted insights across the organization.

This leader will transform a growing and complex data environment into a cohesive, governed, enterprise‑grade analytics capability. While data engineering and integration are foundational responsibilities, success in this role is measured by the quality, scalability, and business impact of analytics and insights delivered to clients and partners. The VP will be a visible, trusted partner, and a disciplined leader who can mature the analytics function into a high‑performing, agile organization.

Job Responsibilities

• Own and evolve Point C's analytics strategy, including data platforms, governance, operating model, and delivery standards.
• Serve as the single accountable executive for analytics outcomes across the organization, ensuring consistency, scalability, and trust in all analytics products.
• Establish clear priorities, roadmaps, and success metrics aligned to company strategy and growth objectives.
• Develop and execute Point C's strategy for employer and broker reporting, making this capability among the strongest and most differentiated in the industry.
• Ensure analytics outputs meet the real‑world needs of brokers, employers, and internal business partners, with a focus on accuracy, clarity, and actionability.
• Partner with Sales to create prospect, broker, and pipeline analytics that optimize growth and improve sales effectiveness.
• Partner with Operations leadership to define and mature operational KPIs that clearly articulate performance, cost drivers, service levels, and client health and margins.
• Partner with Finance to design and deliver revenue retention, margin, and other financial analytics that support forecasting and executive decision‑making.
• Partner with Case Management and Utilization Management teams to create clinical analytics for both internal insight and external stakeholder use.
• Partner with Business Development to analyze potential acquisitions, support data‑driven diligence, and lead post‑acquisition data integration.
• Ensure acquired entities' data is standardized and incorporated into enterprise data lakes and analytics platforms.
• Oversee the design, maintenance, and evolution of enterprise data lakes and analytics platforms that support reporting, dashboards, and advanced analytics.
• Lead efforts to merge, standardize, and harmonize data across disparate systems, balancing speed with long‑term scalability.
• Establish and enforce data governance, data quality, and data cleanliness standards, including ownership, definitions, validation, and remediation processes for imperfect source data.
• Ensure analytics are built on trusted, well‑governed data with transparent definitions and lineage.
• Build, lead, and mature a high‑performing enterprise analytics organization.
• Evolve the team from a loosely managed development approach into a disciplined, scalable agile delivery model aligned with SAFe‑like principles.

Qualifications

• 5+ years of experience in healthcare, with strong preference for payer environments (fully insured and/or self‑funded).
• 7+ years in an IT leadership role with a track record of driving digital transformation, managing cross-functional teams, and aligning technical initiatives with business goals.
• Proven track record of scaling enterprise analytics capabilities in complex, multi‑system environments.
• Demonstrated experience owning analytics end‑to‑end, including platforms, governance, delivery, and business outcomes.
• Experience working in and leading teams within an agile delivery environment.
• Strong experience with Microsoft Azure–based analytics platforms preferred.
• Familiarity with healthcare claims, eligibility, clinical, provider, and network data domains.
• Bachelor's degree in a relevant field; advanced degree preferred.
• Experience managing teams working with Azure SQL Server, Databricks, and Power BI preferred.