Support the Associate AI Empowerment initiative at Zelis to evangelize, translate the AI agenda, set realistic expectations and measures of success across functions
Act as a strategic bridge between enterprise AI strategy and functional execution, ensuring AI initiatives are aligned to measurable business outcomes including productivity gains, scale enablement, cost efficiency, and product innovation
Expand GenAI capabilities to all Zelis associates, evolving our current platforms to enable associate self-serve custom agent development
Drive adoption of AI agents and assistants to enhance productivity, including: The Zelis enterprise chat agent and integrations into the Zelis office suite
Software development agents, such as GitHub copilot and Cursor
Custom agents tailored to role-specific tasks
Applications of Agentic AI workflows that connect custom agents with enterprise data and tools using the Model Context Protocol (MCP)
Advise on technology selection and deployment for GenAI tools
Evaluate emerging AI tools, vendor capabilities, and industry advancements, providing informed recommendations on strategic fit, scalability, governance considerations, and ROI potential
Work closely with the Learning and Development group to promote associate training and AI literacy across the organization
Enable AI usage through structured programs and support
Build and nurture a network of AI champions across job families to accelerate cultural adoption and drive sustained behavioral change
Work with leaders across the organization to define, implement, and continuously refine standardized ROI and value realization frameworks to assess AI and GenAI contributions to productivity, efficiency, innovation velocity, and cost avoidance
Develop dashboards and reporting mechanisms that provide clear visibility into AI adoption, usage patterns, and measurable business impact
Partner with executive leadership to support preparation of AI impact narratives and metrics for senior leadership and board-level discussions, as requested
Requirements
Bachelor’s Degree and/or master’s degree with focuses in Data Science, Computer Science, Machine Learning or related
5 years of experience supporting cross functional teams with a focus on technology enablement
Successful experience driving enablement and adoption of AI/ML related technologies across regulated, global organizations
Proven track record of collaboration across teams, ability to influence and build global teams
Strong presentation, influence and communication skills
Strong understanding and experience with Healthcare IT solutions or comparable highly regulated environments
Demonstrated experience quantifying business value and ROI from emerging technology initiatives, including defining measurable KPIs and tracking realized outcomes
Strong awareness of current trends in foundation models, enterprise AI platforms, and agentic workflows, with the ability to translate industry advancements into practical enterprise applications
Experience supporting executive-level decision-making through data-driven insights and structured impact reporting
Working knowledge of AI governance, risk, and compliance considerations in regulated environments
Benefits
401k plan with employer match
Flexible paid time off
Holidays
Parental leaves
Life and disability insurance
Health benefits including medical, dental, vision, and prescription drug coverage