Associate VP, Clinical Operations Analytics

Humana

1d • Remote

About The Position

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. 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.

Requirements

• 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.
• 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).

Nice To Haves

• 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.

Responsibilities

• 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
• 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.
• 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.
• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed