Staff VP AI Technology Governance & Enablement

Anticipated End Date:

2026-01-22

Position Title:

Staff VP AI Technology Governance & Enablement

Job Description:

Staff VP AI Technology Governance & Enablement

Location:   May be located in any Elevance Health PulsePoint office preferably in Indianapolis, IN, Atlanta, GA, Chicago, IL, or Washington, D.C.

This role requires associates to be in-office at least 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered.  Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

Summary

As Elevance Health advances its digital transformation, the complexity and scale of technology, data, and AI adoption require a visionary leader who can balance innovation with governance. This leader will unify and modernize how Elevance Health governs, enables, and operationalizes AI and technology innovation ensuring that automation, efficiency, and ethics move in lockstep. The Staff VP of AI Technology Governance and Enablement will drive enterprise governance maturity, accelerate responsible automation, and deliver operational excellence at scale.  This role will transform governance from an oversight function to an impact function and lead the Technology Solutions Governance Office (TSGO) to ensures Elevance Health’s technology and AI products & systems are trusted, transparent, and strategically aligned with business goals.

Team Scope   15+

Position Responsibilities

Associate AI Enablement

• Lead the enterprise-wide enablement and adoption of intelligent assistance (IA) and generative AI tools, empowering associates to use AI responsibly, safely, and effectively.
• Scale education, access management, and measurement to ensure AI adoption drives measurable gains in productivity, accuracy, and member impact.
• Advance automation and AI-enhanced decision support to improve speed, consistency, and innovation in daily operations.

Enterprise Governance & Operational Excellence

• Evolve Elevance Health’s enterprise governance model ensuring clarity of roles, defined accountability, and streamlined workflows through transparent SLAs and automation.
• Integrate governance, risk, and compliance practices into one cohesive operating model that balances control with agility.
• Deliver measurable improvements in responsiveness, decision quality, and operational performance.

Responsible AI Leadership

• Lead the continued integration of the tools into Responsible AI framework enterprise workflows, embedding fairness, transparency, and human oversight into all AI systems.
• Drive AI governance automation to streamline reviews and compliance reporting.
• Champion ethical and compliant use of AI-generated content internally and externally.

Policy, Committees, and Alignment

• Strengthen the coordination across enterprise governance bodies (EDAIG, RAI Office, Data Governance) to align on standards, policies, and performance.
• Guide the evolution of an AI Policy and Procedure Library, ensuring consistency, scalability, and enterprise adoption.
• Partner with Legal, Compliance, and Risk to maintain proactive oversight of emerging technologies and regulatory requirements.

Data-Driven Performance & Transparency

• Provide leadership with actionable insights via enterprise AI dashboards tracking adoption, risk, compliance, and value realization.
• Define and govern success metrics for operational excellence, responsible AI maturity, and workforce enablement.

Key Deliverables

• Enterprise AI Enablement & Governance Operating Model
• Responsible AI Integration Roadmap (tools + automation)
• Enterprise Intelligent Assistance Adoption Dashboard
• AI Policy & Procedure Library
• Governance SLA & Accountability Framework
• Automation Strategy for AI Content Review
• Quarterly Executive Reporting on Adoption, Risk, and Value

Position Requirements

• Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 12 years of experience in enterprise technology enablement, governance, or digital transformation leade