The Associate VP, Clinical Operations Analytics uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Associate VP requires an in-depth understanding of how organization capabilities interrelate across segments and/or enterprise-wide.
Associate Vice President, Clinical Operations Analytics
Reports to: VP, Quality & Cost Strategy Analytics
Role Overview
The Associate Vice President (AVP), Clinical Operations Analytics is a senior enterprise leader responsible for shaping and executing the analytics strategy that underpins utilization and care management operations across a complex, scaled healthcare organization. This leader oversees a team of 70+ data and analytics professionals and serves as a strategic partner to clinical, operational, and strategy leaders to drive a more efficient, insight-driven operating system.
This role blends deep operational understanding, advanced analytics expertise, and strategic leadership. The AVP will evolve core operational reporting, lead root-cause and strategic analytics, and guide exploratory AI and advanced analytics research to inform the future of clinical operations. While enterprise AI teams are responsible for production AI use cases, this role is accountable for identifying, testing, and translating AI/advanced analytics opportunities into actionable operational insights.
A critical component of this role is applying operations research (OR) and decision science to clinical operations challenges that involve scale, constraints, trade-offs, and uncertainty. The AVP will ensure that analytics move beyond retrospective insight to prescriptive recommendations—explicitly quantifying trade-offs among cost, access, quality, and member experience—and embedding these insights into operational and strategic decision-making.
We are seeking a leader—ideally with top-tier consulting experience—who is comfortable operating at altitude while also being able to “get into the weeds” on analytical approaches, models, and methodologies, and who is passionate about developing world-class analytics talent at scale.
Scope of Responsibility
Clinical Operations includes:
Utilization management (UM)
Care management (CM)
Clinical operations strategy, performance, and workforce enablement
Key Responsibilities
Strategic & Operational Leadership
Define and execute the clinical operations analytics vision and roadmap, aligned to enterprise and clinical strategy.
Partner with senior clinical and operations leaders to redesign performance management and decision-making using data.
Translate complex operational challenges into structured analytical problem statements and actionable insights.
Act as a trusted advisor to executive leadership on performance, capacity, productivity, outcomes, and cost of care.
Apply operations research and decision science methodologies to complex clinical operations problems
Analytics & Insights
Lead end-to-end operational analytics, including:
Performance reporting and KPI design
Root-cause and driver-based analyses
Predictive and scenario-based analytics
Strategic and economic analytics to inform operating model decisions
Ensure analytics are decision-oriented, not descriptive—focused on impact, trade-offs, and execution.
Set standards for analytical rigor, storytelling, and executive-ready insight delivery.
Lead exploratory and research-focused AI efforts within clinical operations, in partnership with enterprise AI teams.
Identify high-value hypotheses and use cases for machine learning, optimization, NLP, and automation.
Talent & Organization Leadership
Lead, mentor, and develop a 70+ person analytics organization spanning multiple levels and disciplines.
Build a high-performance, consultative analytics culture with strong problem-solving, business acumen, and technical depth.
Upskill teams in advanced analytics methods, tools, and modern data practices.
Attract and retain top analytics talent through clear career paths, coaching, and purpose-driven work.
Operating Model & Governance
Establish scalable analytics operating models, intake processes, and prioritization frameworks.
Balance speed, rigor, and standardization across enterprise and market-level needs.
Partner closely with data engineering, IT, finance, enterprise analytics, operations and strategy teams.
Use your skills to make an impact
Qualifications & Experience
Required
8+ years of progressive experience in analytics, strategy, operations, or consulting, with increasing leadership scope.
Proven experience leading large, complex analytics teams (50+ associates) in a matrixed environment.
Deep understanding of healthcare payer operations, particularly utilization and care management.
Strong strategic acumen combined with hands-on analytical expertise.
Demonstrated ability to influence senior executives and lead through ambiguity and change.
Highly Preferred
Management consulting background (e.g., McKinsey, BCG, Bain, Deloitte, Accenture, or similar), with a focus on data, analytics, or operations transformation.
Experience using analytics to redesign operating models, improve productivity, and drive measurable performance improvement.
Familiarity with advanced analytics and AI concepts (ML, optimization, NLP), with hands-on exposure to models, methods, and limitations.
Experience partnering with centralized AI or data science teams.
Technical & Analytical Expectations
Strong grounding in:
Statistical analysis and modeling
Predictive analytics and forecasting
Optimization and scenario modeling
KPI architecture and performance management
Ability to evaluate analytical approaches and guide teams on methodology—even if not building models personally.
Comfort translating technical outputs into executive-level narratives and decisions.
Experience with modern analytics and data ecosystems (cloud data platforms, BI tools, analytics languages).
Leadership Profile
The ideal candidate is:
Strategic and structured, able to frame ambiguous problems and chart a path forward.
Operationally fluent, with credibility among clinical and operations leaders.
Analytically curious and rigorous, eager to push thinking beyond standard reporting.
Talent-focused, committed to coaching and building future analytics leaders.
Influential and collaborative, capable of aligning diverse stakeholders around insight-led change.
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Application Deadline: 05-05-2026About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
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