Director, AI Platforms, Governance and Digital Enablement

Crisis Prevention Institute•Milwaukee, WI

5d•Hybrid

About The Position

The Director leads CPI’s enterprise AI platforms, governance, and responsible adoption while helping employees get more value from the software CPI already owns. This hands-on technology leader establishes practical controls, administers approved AI services, evaluates integrations and agents, and builds learning programs that improve how teams work across the organization. The role partners with Technology, Information Security, Data, Legal, Finance, HR, and business leaders. It combines platform operations and financial stewardship with teaching, coaching, and change management. Success is measured by safe and effective adoption, employee capability, reduced duplication, and business outcomes—not by the number of training sessions delivered.

Requirements

Bachelor's Degree
Seven or more years in enterprise technology, platform operations, digital adoption, technology learning, organizational change, or a related field, with substantial hands-on enterprise technology experience.
Experience implementing or administering enterprise AI, SaaS, automation, or comparable emerging technology platforms, including access, licensing, configurations, and support.
Working knowledge of generative AI, models, agents, APIs, connectors, data protection, identity, security, and responsible-use controls.
Demonstrated ability to design and deliver engaging technology training and adoption programs for varied audiences, from individual contributors to executives.
Ability to connect business workflows to technology capabilities and evaluate usage, costs, adoption, and value.
Strong facilitation, writing, presentation, analytical, and cross-functional partnership skills; ability to operate independently in an evolving area.

Nice To Haves

Experience with Microsoft 365, Copilot, Copilot Studio, Power Platform, ChatGPT Enterprise, Claude Enterprise, ServiceNow, or similar platforms.
Experience with enterprise AI governance, agent development, AI integrations, digital adoption platforms, learning systems, and change management practices.
Experience building usage dashboards, champion networks, executive reporting, or FinOps processes.

Responsibilities

Develop an enterprise AI roadmap aligned with business needs and CPI’s technology strategy; translate emerging capabilities into practical recommendations and measurable use cases.
Own day-to-day AI governance processes and coordinate the AI Governance Committee, including intake, evaluation, approval, documentation, and lifecycle standards for platforms, models, agents, connectors, and use cases.
Partner with Information Security, Legal, Privacy, HR, and Data on security, data access, retention, intellectual property, acceptable use, and applicable regulatory and contractual requirements; maintain evidence for review and audit.
Define responsible experimentation and escalation paths so employees can use approved AI capabilities confidently.
Serve as operational owner for approved enterprise AI platforms, including administration of licensing, users, access, configuration, models, connectors, agents, and controls.
Evaluate, configure, test, deploy, support, and retire AI features, integrations, and automations; prototype use cases and partner with Engineering and application owners when deeper development is needed.
Establish standards for agent ownership, testing, security review, monitoring, support, and retirement; troubleshoot access, configuration, and integration issues.
Track AI licensing, subscriptions, token or consumption costs, utilization, and vendor performance; forecast spend, optimize licenses, and support renewals with Finance and Procurement.
Build an enterprise program that teaches employees how and when to use existing applications, including Microsoft 365, Teams, SharePoint, Copilot, CRM, collaboration, analytics, and other approved tools.
Assess underused features and skill gaps with application owners and business teams; develop role-based learning paths, live and virtual workshops, demonstrations, office hours, coaching, short videos, and self-service guides.
Develop AI literacy and practical responsible-use training for executives, leaders, employees, and specialized functions, including prompting, data handling, approved tools, and relevant workflows.
Establish a network of AI and technology champions who share proven practices and help their teams adopt new ways of working.
Partner with HR and Learning and Development on employee skills and with project teams on communications, readiness, training, and adoption after launch.
Work with departments to understand how work is performed, identify friction and manual steps, and demonstrate solutions using current platforms, automation, or AI.
Identify existing capabilities before new software is purchased; advise Technology and business leaders where current tools can address a stated problem and where a new investment is warranted.
Measure active usage, feature adoption, employee confidence, AI consumption, costs, workflow improvements, and documented business outcomes; report trends and recommendations to leadership.
Gather employee feedback and use it to improve platforms, learning materials, support, and change plans.