Vice President; VP), Agentic AI

Position Title

Staff Vice President (VP), Agentic AI

May be located in any Elevance Health PulsePoint office, preferably in Indianapolis, IN;
Atlanta, GA;
Mason, OH;
Richmond, VA;
Norfolk, VA; or Woodland Hills, CA. Associates must be in‑office at least 3 days per week. Hybrid/virtual work is allowed as per company policy.

The VP leads enterprise AI intelligence and orchestration for Engagement across SMS, Conversational AI, digital experiences, and agent‑assisted calls. The role builds the enterprise brain that integrates member context, interaction history, journey status, preferences, intents, next‑best actions, and operational signals into a reusable platform scalable across Elevance Health and Carelon. The VP creates a single point of accountability for AI intake, delivery alignment, solutions engineering, marketplace governance, and predictive member engagement.

8 direct reports and approximately 75 total FTEs.

• AI Services strategy & roadmap: Define and evolve the strategic roadmap for agentic AI intelligence and member orchestration, ensuring alignment with enterprise priorities for containment, personalization, service modernization, and reusable AI products.
• Revisit existing platform modules: Identify opportunities to reuse and extend existing AI platform modules, orchestration patterns, marketplace assets, and shared services in new enterprise solutions.
• Market awareness: Monitor AI market trends, platform patterns, and emerging tools to keep the organization current in enterprise agentic AI.
• Roadmap translation: Translate the unified member intelligence vision into a sequenced roadmap of capabilities, use cases, and delivery priorities.
• Collaboration with engineering & platform teams: Work closely with AI Engineering, EHAP, and enterprise platform teams to ensure orchestration capabilities are built on reusable architecture, shared services, and governed design patterns.
• Feedback loop: Create a formal feedback loop from delivery teams into platform and engineering teams to improve usability, performance, monitoring, governance, and feature readiness of reusable components.
• Deployment standards: Champion consistent standards for deployment, MLOps, observability, versioning, and quality assurance across all AI services.
• Marketplace translation: Ensure platform investments such as EHAP marketplace, agent factory, Spark enablement, and governance automation are translated into practical enterprise delivery assets.
• Delivery & project oversight: Oversee multiple enterprise AI service engagements concurrently from intake and scoping through development, deployment, stabilization, and value realization.
• Resource alignment: Align cross‑functional resources across data science, AI engineering, solution architecture, product, and business stakeholders to meet project demand efficiently.
• Consistency: Drive execution consistency across agentic AI, member orchestration, predictive outreach, and engagement modernization efforts using common delivery standards and reusable assets.
• Compliance: Ensure solutions are delivered with strong controls for quality, privacy, security, and regulatory compliance.
• Ecosystem integration: Work across IT, Product, Data, Contact Center, CRM, and digital teams to integrate AI solutions into the broader enterprise stack, including data pipelines, APIs, workflows, desktop platforms, and engagement systems.
• Internal evangelist: Serve as an internal evangelist for reusable AI platform capabilities, helping business and technology leaders adopt shared solutions.
• Scalability & resilience: Ensure deployed AI services are scalable, resilient, performant, and ready for enterprise production.
• Intelligence orchestration: Lead the orchestration of intelligence across channels so that member context can follow the journey across voice, chat, digital, and agent‑assisted experiences.
• Team leadership & development: Build, mentor, and lead a high‑performing organization spanning enterprise AI intake, delivery alignment, solutions engineering, platform reuse, and predictive engagement.
• Senior leadership: Provide senior leadership across directors…