VP Health Services Analytics

Posted 1 day ago

This is a fully remote position, open to applicants in Florida.

📋 Description

• The analytics function acts as the driving force behind the data-centric Health Services Operating System.

• Develop and implement a Unified KPI & Operating Performance Dashboard.

• Capture efficiencies derived from automation and AI within analytics functions.

• Identify opportunities for business process enhancements across Health Services Operations to improve member health outcomes, reduce both administrative and medical expenses, and enhance member experience.

• Convert data, advanced analytics, and AI-driven insights into quantifiable business outcomes.

• Ensure the adoption of Analytics Domain architecture within Health Services Analytics.

• Lead the transition from legacy systems to contemporary cloud-based solutions.

• Define and take ownership of the Health Services Analytics North Star along with a phased implementation strategy.

• Establish and govern a consolidated analytics operating model, intake process, prioritization framework, data product strategy, governance model, enterprise metrics, transformation layer, and AI enablement roadmap.

• Execute an Analytics Product Roadmap and monitor value realization.

• Engage in operational governance forums for operational engines.

• Maintain a structured management system, including staff meetings, one-on-ones, skip-level meetings, roadmap updates, and organized operating rhythms.

• Design, build, and sustain a comprehensive KPI inventory for Health Services Operations.

• Provide the Unified KPI & Operating Performance Dashboard as the definitive source of truth.

• Create and manage a standardized transformation layer that includes metric definitions, pipelines, business logic, enrichment layers, and quality assurance checks.

• Transition work towards advanced analytics, predictive models, AI-enabled workflows, and proactive intelligence.

• Develop and implement the AI enablement roadmap.

• Set up automated reporting, self-service dashboards, and decision-support tools.

• Lead the development of predictive models and AI/ML use cases.

• Manage TCOC connectivity analytics, quantifying, tracking, and validating affordability opportunities.

• Support subfunction lever playbooks with definitions for KPI, cost categories, cost mechanisms, and analytics cadence.

• Build, lead, and nurture the Health Services Analytics team.

• Define the staffing model, workforce composition, onshore/offshore/vendor distribution, and productivity expectations.

• Upskill, reorganize, and reconstruct the analytics talent pyramid.

• Establish leadership development plans, conduct talent assessments, and implement performance management systems.

• Report directly to the COO of Health Services and collaborate with the Chief Data Officer.


⛳️ Requirements

• Bachelor’s degree in actuarial science, Statistics, Mathematics, Data Science, Computer Science, Business, or a related quantitative field, or equivalent relevant work experience.

• Over 15 years of progressive experience in healthcare analytics, actuarial science, data science, or enterprise analytics leadership.

• More than 8 years of senior leadership experience managing analytical teams and enterprise-scale initiatives.

• Proven experience in designing and implementing analytics operating models.

• Strong executive presence with the capability to influence senior leadership across functions.

• Demonstrated ability to translate analytical insights into measurable business results.

• Fellow of the Society of Actuaries (F.S.A.) or an equivalent advanced credential (preferred).

• Advanced degree (master’s or higher) in a quantitative or business-related discipline (preferred).

• Experience within a health insurance payer organization (preferred).

• Experience collaborating with enterprise data organizations (preferred).

• Familiarity with process improvement methodologies (LEAN, Six Sigma, etc.) (preferred).

• Experience in developing recruiting strategies, talent programs, and mentoring team members (preferred).

• Experience in integrating AI-enabled analytics solutions into business workflows (preferred).


🏝️ Benefits

• Comprehensive medical, dental, vision, life, and global travel health insurance.

• Income protection benefits, including life insurance and short- and long-term disability programs.

• Leave programs designed to support personal circumstances.

• Retirement Savings Plan featuring an employer match.

• Paid time off, volunteer time off, 10 holidays, and 2 well-being days.

• Additional voluntary benefits available.

• A comprehensive wellness program.

• Opportunities for incentive or commission compensation.

• Annual reviews with performance-based considerations for base pay increases.

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