Director, AI Enablement

Vizient•Edina, MN

4d•$135,200 - $236,600

About The Position

Lead the enterprise capability that helps Product and Delivery teams adopt Vizient’s AI Delivery Lifecycle and AI Factory. The role leads Forward Deployment Engineers who partner directly with teams to accelerate AI adoption, remove implementation barriers, and advance solutions from discovery and prototyping through production. The Director combines expertise in artificial intelligence, product delivery, technical program management, and organizational enablement to establish repeatable practices and scalable enterprise adoption. The position partners with Engineering, Product, Security, Governance, Quality, Operations, and business leaders to enable effective use of AI while maintaining accountability for product ownership, delivery commitments, and business outcomes.

Requirements

10+ years of experience in software engineering, solution delivery, architecture, platform enablement, technical consulting, or enterprise technology transformation.
5+ years of experience leading technical teams or large-scale, cross-functional technology initiatives.
Demonstrated success driving adoption of enterprise platforms, engineering frameworks, operating models, or shared technology capabilities across multiple teams.
Experience leading consultative or embedded engineering teams that accelerate delivery while maintaining clear ownership within Product, Engineering, and Delivery organizations.
Strong technical acumen, including the ability to evaluate architectures, review implementations, and provide hands-on technical guidance when needed.
Experience leading complex technology programs involving planning, dependency management, risk mitigation, stakeholder alignment, and outcome measurement.
Experience with product and process management, including roadmap development, prioritization, adoption strategy, continuous improvement, and value realization.
Practical experience delivering production AI or machine learning solutions, including generative AI, large language models, agentic workflows, retrieval-augmented generation, and enterprise AI integrations.
Experience helping teams advance AI solutions from ideation and prototyping through deployment, operations, and continuous optimization.
Working knowledge of modern cloud and software engineering practices, including APIs, CI/CD, security, observability, data integration, MLOps, and LLMOps.
Ability to influence and collaborate effectively with Product, Engineering, Architecture, Data, Security, Operations, and business stakeholders in a matrixed environment.
Exceptional communication, facilitation, change leadership, and coaching skills.
Must be authorized to work in the United States without sponsorship.

Responsibilities

Lead enterprise adoption of Vizient’s AI Delivery Lifecycle and AI Factory across Product and Delivery teams.
Lead, develop, and retain a team of Forward Deployment Engineers supporting strategic initiatives and accelerating AI adoption.
Establish engagement models, prioritization processes, capacity plans, and success measures for Forward Deployment Engineering support.
Enable teams to discover, integrate, and reuse approved AI capabilities, tools, patterns, and services through playbooks, workshops, coaching, and hands-on guidance.
Assess team readiness, identify adoption barriers, and partner with cross-functional leaders to improve implementation effectiveness and team self-sufficiency.
Provide technical guidance for pilots, prototypes, integrations, troubleshooting, production readiness, and continuous optimization of AI solutions.
Partner with Product, Engineering, Architecture, Data, Security, Governance, Quality, and Operations teams to resolve delivery challenges and accelerate implementation.
Establish a scalable AI Enablement service model, adoption roadmap, prioritized backlog, and continuous improvement practices.
Identify recurring challenges, capability gaps, and successful implementation patterns, and translate them into reusable assets, standards, and guidance.
Define and track measures of success, including adoption, reuse, delivery efficiency, time to value, production readiness, and business impact.
Build trusted relationships with enterprise leaders and influence adoption through communication, facilitation, accountability, coaching, and change leadership.
Represent AI Enablement in enterprise AI planning, operating model discussions, capability roadmaps, and strategic technology initiatives.