SVP Enterprise Analytics

Cinqcare•Washington, WA

12h

About The Position

The Senior Vice President, Enterprise Analytics is a senior executive leader responsible for building and directing CINQCARE’s enterprise-wide analytics function and establishing a trusted source of truth on organizational performance. The role turns clinical, operational, and healthcare economics data into actionable insights that support improved health outcomes and sustainable business performance. The SVP leads data scientists, business intelligence analysts, and analytics engineers in delivering predictive models, value-based care performance analytics, dashboards, and decision-support tools. The role partners with leaders across clinical, operations, engagement, finance, and technology to embed data-informed decision-making in daily operations, care delivery, and market and contract decisions. The position sets enterprise analytics strategy and metric definitions; establishes the analytics operating model, governance, and roadmap; and oversees analytics capabilities in population health, quality, utilization, operational efficiency, outreach, healthcare economics, and value-based care contract performance. It also evaluates analytics platforms and promotes data-informed decision-making through training, communication, and change management. The work environment is an indoor, traditional office with conditioned air, artificial lighting, and an open workspace. The role requires communication with customers, vendors, management, and coworkers in person and through devices, including occasional interactions with agitated people. Regular telephone and email use, extended sitting, receiving information, preparing or inspecting documents, and using common office equipment are part of the work. Occasional lifting of up to 10 pounds may be required.

Requirements

Executive presence and strong communication skills.
Strategic thinking and ability to influence senior stakeholders.
Intellectual honesty and integrity.
Strong leadership, mentoring, and team-building abilities.
Hands-on credibility with a modern analytics stack, including SQL, Python or R, a cloud data warehouse, transformation tooling such as dbt, and a modern BI platform.

Nice To Haves

Project management certification (PMP).
Experience with EHR and claims data systems.

Responsibilities

Design and lead enterprise analytics strategy across clinical, operational, engagement, and healthcare economics priorities.
Own enterprise metric definitions and establish a certified, consistent version of performance truth across domains.
Build, mentor, and scale a multidisciplinary team of data scientists, business intelligence analysts, and analytics engineers.
Define and govern the analytics operating model, including intake, prioritization, and service levels.
Partner with clinical, operations, engagement, finance, and technology leaders to turn business questions into analytics solutions, dashboards, and performance metrics.
Partner with technology leadership to define shared accountabilities and boundaries between enterprise analytics and data platform, integration, and engineering functions.
Oversee predictive and prescriptive models for population health management, care utilization, quality outcomes, cost of care, rising-risk identification, avoidable admissions and readmissions, emergency department use, and post-acute placement and length of stay.
Establish enterprise data governance standards for data integrity, security, and compliance with HIPAA and other applicable regulations.
Publish and maintain a multi-year analytics roadmap connecting foundational data work, reporting, and predictive capabilities to business outcomes and delivery dates.
Prepare analytics findings, performance trends, and strategic recommendations for executive leadership.
Deliver analytics for risk stratification, care gap closure, utilization management, and clinical quality measures, including HEDIS, CMS Star Ratings, and payer- and program-specific measures.
Develop forecasting models for staffing demand, market expansion, and site- and market-level performance, including productivity, empanelment, and caseload management.
Deliver outreach optimization analytics, including channel and message effectiveness, propensity-to-engage modeling, next-best-action targeting, and strategies for hard-to-reach populations; demonstrate downstream impact.
Lead healthcare economics analytics, including total cost of care, PMPM trends, medical loss ratio, utilization per thousand, and unit cost drivers by market, line of business, and contract.
Support value-based care contract performance through shared savings and shared risk reconciliation, benchmark and trend analysis, attribution validation, high-cost claimant and stop-loss monitoring, and analytic inputs to IBNR and reserving.
Evaluate and implement analytics platforms, tools, and technologies to improve reporting scalability, accuracy, and speed.
Promote data-informed decision-making through organizational training, communication, and change management.