Artificial Intelligence

• 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

• Lead the enterprise AI activation and transformation function, including building and guiding a team responsible for AI strategy, enablement, and execution.
• Establish a long-term vision that balances innovation with responsible adoption.
• Translate enterprise priorities into a clear, actionable AI strategy.
• Identify opportunities to re-engineer business processes using AI, from problem identification through implementation and value realization.
• Balance near-term productivity gains with longer-term innovation efforts across a diversified AI portfolio.
• Lead BECU’s internal AI innovation incubator that operates as an internal VC fund, identifying internal opportunities to drive change, funding them, and tracking them as part of the broader AI portfolio.
• Oversee AI governance, including policies, standards and decision frameworks that enable responsible and scalable adoption.
• Partner with leaders across business, technology, and operations to embed AI into real workflows.
• Establish and evolve enterprise AI governance, including policies, standards, and decision frameworks that ensure ethical, compliant, and scalable AI adoption.
• Build organizational capability through education, coaching, and enablement—helping employees develop confidence and fluency in AI tools.
• Influence senior leaders and manage cross-functional partnerships, ensuring alignment with regulatory expectations, risk tolerance, and member trust.

VP, AI Transformation

• Deliver advanced second-tier technical assistance to end users across PC, server, mainframe, storage, and associated hardware and software environments.
• Serve as the primary point of contact for local server, network, and telecommunications repair activities supporting District infrastructure components.
• Administer, manage, and maintain current and future Microsoft (MS) Windows Server operating systems across both physical and virtual environments.
• Support hardware and software technology refresh efforts, ensuring compliance with established milestones while coordinating with application owners to minimize operational disruption.
• Adhere to established change management principles and procedures on a daily basis, including drafting formal Change Requests and obtaining required approvals.
• Assist with storage and data management activities, with a specific focus on file and folder permission administration.
• Implement applicable DISA Security Technical Implementation Guides (STIGs) and remediate identified security vulnerabilities.
• Support the operational transition of enterprise solutions into the production environment, ensuring stability and continuity of services.
• Work Remedy incident and service request tickets, providing initial triage and analysis of complex issues prior to escalation or resolution.

Senior Network & Computer System Admin, AI

• Lead enterprise AI strategy and digital delivery for HR and workforce systems
• Oversee the implementation and optimization of people systems
• Champion the use of AI and advanced analytics to streamline workforce management
• Develop and execute a forward-looking AI-enabled workforce strategy
• Lead transformation initiatives that enable intelligent, data-driven, and digital-first operating models
• Deliver actionable insights into workforce trends, performance, and behaviors

Senior Director, AI, Workforce Innovation, Digital Delivery

• Drive global TA process standardization, governance, and operational rigor across all regions, ensuring consistency in how recruiting is accomplished while respecting regional nuances.
• Lead the AI strategy and adoption roadmap for Talent Acquisition — identifying, assessing, implementing, and measuring AI-enabled tools and capabilities (e.g., AI sourcing, interview scheduling, skills-based screening) that reduce cost-to-hire and improve quality and speed.
• Own TA programs including the Internal Job Opportunity Program (IJOP) and Employee Referral Bonus Program, managing policy governance, global alignment, and continuous improvement.
• Own the TA enablement framework, including recruiter onboarding, capability development, quality assurance, and the tools and platforms that equip recruiters to perform at a high level across all markets.
• Define, refine, and maintain the TA operational KPI framework — establishing the metrics that matter, building self-service analytics capabilities (e.g., Visier), and translating data into actionable insights and strategic recommendations for TA leadership.
• Coordinate cross-regionally on compliance-related infrastructure, process improvements, and technology rollouts to ensure the TA function operates with accountability, efficiency, and readiness for hiring at scale.

Director, Global TA Operations, Enablement, AI

• Set the multi-year strategy for ML, data, and BI
• Build and scale the Data Science / AI, Data Engineering, and BI Engineering organization
• Manage managers and tech leads
• Run performance management, career development, and retention
• Operate as a peer to VP-level leaders across various functions
• Own the architecture, deployment, and operation of the production ML

VP of AI, ML and Data Strategy

• 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

• Design, build, and maintain enterprise AI solutions and services that enable the scalable adoption of generative AI, machine learning, and agentic AI capabilities across the organization.
• Implement enterprise AI architecture patterns and technical standards defined by the Enterprise AI Architect, translating reference architectures and design patterns into production-ready solutions.
• Develop and support AI integration patterns that connect AI capabilities with enterprise applications, APIs, data platforms, and cloud services.
• Build and maintain AI-enabled services and components, including model interfaces, orchestration services, agent frameworks, and reusable AI tooling for enterprise teams.
• Support the implementation of Agentic AI workflows, including orchestration, tool integration, context management, and human-in-the-loop capabilities.
• Implement and maintain AI operational capabilities (MLOps/LLMOps) including model deployment pipelines, monitoring, observability, lifecycle management, and operational controls.
• Ensure AI solutions align with enterprise AI governance, responsible AI standards, and regulatory requirements, including data privacy, auditability, and model transparency.
• Support AI platform development and enablement, working with Platform Engineering and Data Engineering teams to deploy, scale, and maintain enterprise AI infrastructure and tooling.
• Other duties as assigned.

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