Artificial Intelligence

• Serve as the operational leader for NCTC’s AI COE, guiding its strategy, governance, day-to-day execution, and continued growth.
• Build and manage the AI COE operating model, including intake, prioritization, milestones, risk management, governance, and lifecycle management of member AI initiatives.
• Develop and manage a portfolio of AI use cases, evaluating opportunities based on member value, technical feasibility, strategic alignment, and return on investment.
• Establish practical AI implementation standards, best practices, reusable tools, and governance frameworks that support responsible and scalable AI adoption across NCTC’s membership.
• Coordinate cross-functional AI delivery teams, including product, data, engineering, vendors, contractors, and member stakeholders, to deliver successful outcomes.
• Define adoption metrics and dashboards that measure member engagement, platform utilization, business impact, and operational performance.
• Partner with Member Success, Product, Sales, and Marketing to increase awareness, adoption, and value realization of AI COE services.
• Evaluate emerging AI technologies, vendors, and strategic partnerships and recommend investments that strengthen the AI COE portfolio.
• Promote responsible AI practices, including appropriate attention to governance, security, privacy, compliance, and ethical use.
• Represent the AI COE in executive discussions, member advisory councils, industry events, and board presentations.
• Lead NCTC’s enterprise business intelligence and data analytics strategy to ensure the organization has trusted, useful, and actionable information to support business decisions.
• Oversee the architecture for NCTC’s core business systems, data pipelines, reporting layers, and analytics capabilities.
• Define and execute a company-wide approach for how data is curated, modeled, governed, and consumed across the organization.
• Establish data quality standards, common metric definitions, and governance practices that support reliable reporting and informed decision-making.
• Enable self-service reporting across NCTC by working with subject matter experts and business leaders to convert available datasets into decision-ready insights.
• Translate business data into reporting and analytics that improve organizational performance and support strategic priorities.
• Develop and maintain NCTC’s enterprise data and AI roadmap, aligning technology priorities with NCTC’s strategic goals, operational needs, and member experience.
• Monitor emerging technologies, automation opportunities, and industry trends to identify practical ways to improve efficiency, enhance services, and support innovation.
• Evaluate and recommend technology investments that support NCTC’s long-term strategy and the evolving needs of its members.
• Encourage a culture of experimentation, knowledge sharing, and continuous improvement across technology and data initiatives.
• Manage relationships with technology vendors, managed service providers, software vendors, cloud providers, and platform partners that support the AI COE and enterprise data initiatives.
• Support the financial and operational performance of the AI COE, including maintaining the AI COE profit and loss statement as approved by the NCTC Board of Directors.
• Optimize software licensing, infrastructure costs, and technology resources to support business priorities and responsible growth.

Executive Director – Artificial Intelligence, Enterprise Data

• Conduct training sessions for SNHU community members to ensure use of AI tools and technologies
• Provide support in the form of hands-on guidance and consultation
• Help optimize existing AI-driven processes to improve operational and educational efficiency
• Collaborate with cross-functional teams to support AI Proofs of Concept, projects, and product exploration
• Assist in brainstorming and planning for faculty and staff ideas related to AI integration
• Develop training materials, guides, and resources to support AI tool adoption across the institution
• Attendance, punctuality, and reliability are essential functions of this role
• Other responsibilities as assigned

AI Integration Specialist

• Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
• Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap.
• Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
• Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
• Design and implement the enterprise AI operating model, including governance forums and funding processes.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
• Own AI investment governance, ensuring alignment with capital planning and transformation funding.
• Own the global AI use case portfolio and prioritization framework.
• Define, track, and report enterprise AI value metrics.
• Orchestrate cross-functional delivery across IT, data, and business units.
• Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
• Build, lead, and develop a high performing enterprise AI organization with clear roles.

VP, Enterprise AI Enablement

• Drive end-to-end delivery of production AI platforms
• Lead solution architecture, orchestrate model pipelines, and design multi-agent workflows
• Create reusable SDKs and frameworks
• Collaborate across product, engineering, security, and governance teams
• Ensure AI systems are scalable, observable, cost-efficient, and compliant
• Define design patterns and optimize operational pipelines
• Enable internal reuse of proven solutions
• Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production
• Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals

Senior Artificial Intelligence Engineer

• Establish and refine requirements for current and future solution development through independently conducting market competitiveness and differentiation research supported by client feedback, non-client and community stakeholders
• Communicate comprehensive solution strategy, plans and roadmaps to key stakeholders utilizing solution management tools and processes
• Manage breadth of inter-related solution roadmaps and scope based on a detailed understanding of needs, interdependencies, requirements and resources
• Influence and engage engineering teams to deliver exceptional features from detailed requirements and prototypes
• Lead strategies to conduct competitive analysis to determine pricing
• Collaboratively develop company wide go-to market plan with Support, Sales, and Marketing
• Partner with solution marketing to define initiatives to create demand within key market verticals and horizontal markets including company think days, sales demonstrations, trade shows, direct marketing, web marketing, and solution training
• Collaborate with UX team members, participate in end-user discovery/shadowing to gain a deep understanding of customer experience, identify, and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth

Artificial Intelligence jobs in Kansas

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Executive Director – Artificial Intelligence, Enterprise Data

AI Integration Specialist

VP, Enterprise AI Enablement

Senior Artificial Intelligence Engineer

Senior Solution Strategist – AI Visionary