医疗健康服务分析副总裁

The Vice President, Health Services Analytics is responsible for positioning the analytics functions as the engine behind the data-driven Health Services Operating System. This role refocuses existing analytics functions within Health Services on: implementing a Unified KPI & Operating Performance Dashboard, capturing automation/AI-driven efficiencies within the analytics functions, and identifying opportunities for business process improvement across Health Services Operations that drive improve member health outcomes, reduced administrative expense, reduced medical expense, and improve member experience.

Reporting to the COO of Health Services, the VP, Health Services Analytics ensures that data, advanced analytics, and AI-powered insights are translated into measurable business outcomes.

In partnership with the Chief Data Officer, this role ensures timely adoption of the Analytics Domain architecture within Health Services Analytics and leads the migration of Health Services analytical functions from legacy platforms to modern cloud-based solutions.

Define and own the North Star for Health Services Analytics as a distinct operating engine, articulating the future-state vision: what the analytics function must become, the capabilities it must build, and the proving metrics that demonstrate it is getting there.

• Lead phased implementation of North Star vision: required capabilities, proving metrics, value drivers, organizational design, process maps, technology & data architecture, governance, strategic roadmap, maturity assessment, and management system.

• Align the analytics engine's strategic priorities to that of the functions within Health Services Operations, with quantified business impact across STARS, RAF, quality, cost, and experience dimensions.

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

• Implement an “Analytics Product Roadmap” for the analytics engine: articulate demand, prioritize, manage capacity, justify budget, and track value realization — partnering with Technology's "Front Door" to ensure demand visibility (volume, type, requestor, status) across all analytics requests.

• Have representation in the operating rhythm governance forums for each operational engine, providing analytics inputs and ensuring decisions are data-informed.

• Operate a disciplined management system for the analytics engine: weekly staff meetings, direct report 1:1s, skip-levels, quarterly roadmap revisions, and a structured operating rhythm.

• Design, build, and maintain a comprehensive KPI inventory for Health Services Operations, including leading indicators, activity metrics, outcome metrics, benchmarks, targets, Red/Yellow/Green status reporting, and automated corrective action triggers.

• Deliver the Unified KPI & Operating Performance Dashboard as the single source of truth for Health Services Operations, rolling into the enterprise Operating Performance Dashboard.

• Build and own the standardized, governed transformation layer between enterprise data products and Health Services analytics products — encompassing metric definitions, transformation pipelines, business logic, enrichment layers, and quality checks — to eliminate duplicated pipelines, inconsistent outputs, and shadow data engineering.

• In partnership with the Chief Data Officer, lead the migration of Health Services analytical functions from legacy platforms to modern cloud-based solutions, ensuring data arrives at the point of use ready to be consumed without requiring secondary engineering.

• Shift the analytics engine's work mix from predominantly recurring reporting and ad hoc requests toward advanced analytics, predictive models, AI-enabled workflows, and proactive intelligence — and track that shift as a proving metric of the analytics engine's own maturity.

• Develop and execute the AI enablement roadmap for Health Services Analytics, embedding predictive models and AI into the standardized transformation layer in alignment with Enterprise standards.

• Identify and implement automation and AI-driven efficiencies within the analytics functions, including automated reporting, self-service dashboards, and decision-support tools.

• Lead development of predictive models and AI/ML use cases identified in each operational engine's tactics table, ensuring alignment with the enterprise AI roadmap.

• Own the analytics capability for TCOC connectivity across engines: define how analytics identifies affordability opportunities, the recurring reviews needed, the prioritization method, calendarization, and impact tracking/validation.

• Maintain the connection between engine-level analytics and Medical Economics / Affordability, ensuring TCOC opportunities are quantified, tracked, and validated through recurring sustainable processes.

• Support subfunction lever playbooks by identifying the KPI(s) each lever moves, the TCOC cost category and cost mechanism affected, and the analytics cadence required.

• Build, lead, and develop the Health Services Analytics team, including analysts, analytics engineers, data scientists, and reporting specialists.

• Define the staffing model for the analytics engine: FTE (filled/vacant), workforce mix, onshore/offshore/vendor split, and productivity expectations.

• Upskill, restructure, and rebuild the analytics talent pyramid — shifting from a reporting-heavy workforce toward analytics engineers, data scientists, and AI-enabled roles — and track that shift as a proving metric of the engine's maturity.

• Establish leadership development plans, talent assessments, and performance management systems for the analytics organization.

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

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

• 8+ years of senior leadership experience overseeing analytical teams and enterprise-scale initiatives.

• Demonstrated experience designing and implementing analytics operating models.

• Strong executive presence with the ability to influence cross-functional senior leadership.

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

As a Florida Blue employee, you will thrive in our Be Well, Work Well, GuideWell culture where being well as an individual, and working well as a team, are both important in serving our members and communities.

To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to:

Employee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.

To support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases.

Final pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring.

We are an Equal Employment Opportunity employer committed to cultivating a work experience where everyone feels like they belong and can perform at their best in pursuit of our mission. All qualified applicants will receive consideration for employment.

- Proven experience in a senior leadership role overseeing analytics functions, preferably within health services or a related healthcare environment.

- Demonstrated ability to define and implement an analytics strategy, including vision, roadmap, and maturity assessment.

- Experience in leading migration from legacy platforms to modern cloud-based analytics solutions.

- Strong understanding of advanced analytics, AI, and data-driven decision-making to drive business outcomes.

- Experience in establishing and governing analytics operating models, including intake and prioritization processes.

- Ability to align analytics priorities with business operations and quantify impact across quality, cost, and experience metrics.

- Experience collaborating with senior executives such as COO and Chief Data Officer.

- Knowledge of healthcare operations, member health outcomes, and administrative/medical expense reduction.

- Strong leadership skills in organizational design, process mapping, and governance.

- Bachelor’s degree required; advanced degree (e.g., MBA, MPH, or related) preferred.