Artificial Intelligence

• Help architect the next generation of the AI-enabled university
• Shape the university’s AI-ready data ecosystem
• Move ASU from fragmented systems toward connected data rivers
• Define and advance the enterprise architecture required to support AI-enabled institutional operations

Executive Director – AI and 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

• Designs end-to-end Artificial Intelligence (AI) solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures
• Leads the development of AI initiatives from Proof of Concepts (PoCs) to scalable, enterprise-wide production deployments
• Evaluates and recommends AI technologies, including Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI
• Leads design of AI architectures, Large Language Model/Retrieval-Augmented Generation (LLM/RAG) pipelines, and agentic workflow orchestration aligned to business use cases
• Defines AI strategy, roadmaps, and technology standards by evaluating emerging AI/ML technologies
• Balances hands-on AI model development with cross-functional coordination

Artificial Intelligence Architect – Senior/Lead

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
• Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
• Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
• Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
• Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

Manager, AI Agents and Automation

• Reimagine Credit Strategy Through Automation
• Deconstruct and redesign credit underwriting processes
• Identify opportunities where AI and machine learning can enhance credit decisions
• Partner with IT and business teams to translate credit requirements into technical specifications
• Build compelling business cases for technology investments
• Design sophisticated workflow automation
• Leverage FNBO's AI toolkit to prototype, test, and scale solutions rapidly
• Present recommendations to C-level executives with clarity and confidence
• Drive change management efforts
• Stay ahead of emerging AI capabilities and credit technology trends

Credit Risk AI Enablement

• Lead the operational delivery of high-priority third-party AI onboarding engagements, including OpenAI and Anthropic, while ensuring compliance, configuration, and cross-functional coordination.
• Own the end-to-end Tech Onboarding and Marsh compliance process for significant tool onboarding requests, including intake, review, exception handling, and go-live readiness.
• Serve as the first point of contact for consultant and business lead requests related to AI experimentation, pilots, and deployments, triaging work and escalating strategic items appropriately.
• Partner with Product Strategy PMs, OWG Tech, Marsh Security, and vendor teams to keep the delivery pipeline moving, manage integrations, and identify risks early.
• Provide deputy leadership support as needed, representing the Build Team in meetings, maintaining continuity, and overseeing the Senior Tech Delivery Analyst.

Senior Technology Delivery Manager, Gen AI

• Build and own clinic-specific workflow documentation for your assigned accounts from day one — capturing front-desk intake processes, referral handling protocols, fax routing logic, and staff escalation paths in a format the broader team can use.
• Keep documentation current as workflows evolve post-go-live: version it, flag changes, and ensure the Implementation Workflow Workbook reflects ground truth across your assigned practices.
• Translate messy, verbal clinic knowledge into clean, auditable process maps that support onboarding, BPO agent training, and product configuration.
• Serve as the operational layer during active implementations — partnering with the Partner Integration team to complete go-live readiness checklists, coordinate EMR access and staff training, and surface blockers before they become delays.
• Support go-live gate sign-off by confirming clinic-side workflows are documented, staff are trained, and the practice is operationally ready to go live with Emma AI Calls,
• Documents & Fax AI, and/or ACR
• Act as the clinic-facing point of contact during the transition period, translating between what Basata’s tools do and what the clinic’s staff need to change about how they work.
• Own the day-to-day operational health of your assigned clinic accounts post-go-live — monitoring for workflow drift, catching edge cases the AI isn’t handling correctly, and flagging escalation-worthy issues before they surface in a review.
• Conduct regular touchpoints with clinic staff to assess workflow adherence, identify friction points, and gather ground-level feedback that feeds back into product and process improvement.
• Support the Growth Partner team with account-level operational context ahead of reviews, expansion conversations, and escalation paths.
• Serve as the primary liaison between your assigned clinics and the BPO agent team, ensuring agents have the account-specific protocols, scripts, and escalation instructions they need to operate accurately.
• Monitor BPO work product for your accounts: review queue outputs, flag accuracy issues, and work with Operations leadership to address quality gaps before they impact clinic relationships.
• Ensure BPO agents are properly onboarded to any new account assigned to your pod — covering system access, EMR environment, and clinic-specific protocols — and maintain the documentation that makes that onboarding repeatable.

Medical Assistant – AI Operations Assistant

• 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

• 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

• Own end-to-end delivery for multiple enterprise customer engagements
• Partner with customers' C-level executives on AI strategy and transformation
• Lead one or more concurrent implementations, ensuring projects are delivered within budget and timeline outlined
• Manage timelines, risks, and cross-functional coordination for smooth delivery

Engagement Manager, AI Practice

• Work remotely with individuals and families to help identify life insurance and annuity solutions that fit their needs.
• Educate clients on financial protection options in a clear, ethical, and professional way.
• Build and manage your own pipeline through referrals, marketing, networking, and follow-up.
• Attend virtual training, mentorship, and team development sessions.
• Grow a personal book of business while building long-term client relationships.

Sales AI

• Create and manage the operating model for identifying and resolving security risks and posture drift.
• Lead initiatives and strategies in support of the Security Posture Management program.
• Own ensuring that business goals and risks are adequately addressed; collaborate and consult with enterprise cross-functional teams to maintain continuous awareness of the enterprise’s Security Posture and identify improvement opportunities.
• Establish effective working relationships across the enterprise to foster a strong risk culture by supporting stakeholders in owning and managing their risks and controls.
• Ensure controls are successfully designed and implemented to meet Compliance requirements and business objectives.
• Manage relationships cross-functionally to integrate alignment with organizational strategies while addressing risk management needs.
• Review new processes from a control's perspective.
• Consult with process owners to design and implement new controls.
• Improve risk and control environment by providing subject matter technical expertise on enhancing the design and effectiveness of Security’s control program while aligning with compliance and technical needs.
• Develop, execute, and present the risk reporting framework ensure risk mitigation activities are performed timely.
• Select appropriate metrics (KRI/KPI’s) to monitor adequacy and effectiveness of the control environment.
• Monitor remediation efforts to closure, including review of supporting evidence.
• Develop and enhance documentation and reporting standards to support oversight of the enterprise’s Security Posture and ensure consistent execution and coverage across the enterprise supported through a stakeholder-approved policy-driven governance program.
• Supports the company's commitment to risk management and protecting the integrity and confidentiality of systems and data.

Principal – AI Technology Risk

• Drive product strategy and execution across a portfolio of no-code and low-code AI products and workflow automation capabilities, with a focus on improving operational efficiency, strengthening controls, and delivering measurable business value.
• Partner with product leadership to define strategic priorities, clarify objectives, and translate business goals into actionable roadmaps, operating plans, and execution routines.
• Identify opportunities to create business value by assessing operational challenges, process inefficiencies, stakeholder needs, and potential technology-enabled solutions.
• Connect work across teams, products, and business groups to identify synergies, reduce duplication, and improve alignment across the product portfolio.
• Support innovation efforts by helping evaluate new ideas, structure exploratory work, define success criteria, and ensure experimentation is connected to measurable business outcomes.
• Establish and manage operating routines, including leadership cadence, portfolio reviews, intake forums, prioritization discussions, status updates, and executive-ready communications.
• Develop frameworks, materials, and reporting that help leadership make informed decisions on strategic priorities, resources, risks, dependencies, delivery progress, adoption outcomes, and business value.
• Partner with product pods to anticipate and remove execution roadblocks, manage dependencies, and support alignment across business, product, technology, risk, and control stakeholders.
• Support resource planning, demand management, intake prioritization, and portfolio-level visibility to help ensure the team is focused on the highest-value initiatives.
• Prepare clear, concise, and well-structured communications for leadership and stakeholder audiences, including strategic updates, decision materials, meeting summaries, adoption materials, and portfolio narratives.
• Use data, metrics, stakeholder feedback, and business outcomes to assess progress, identify improvement opportunities, and support continuous improvement across the product organization.
• Promote a culture of collaboration, accountability, operational excellence, risk awareness, adoption discipline, and continuous learning.

Lead Strategy & Planning Consultant – AI Product Strategy, Innovation

• Analyze internal and external compensation data, market trends, job requirements, and business needs to provide sound recommendations on compensation decisions, including offers, promotions, adjustments, job evaluations, and salary range placement.
• Support core compensation programs and processes, including base pay, salary structure maintenance, market pricing, incentive processing, pay equity analyses, and annual compensation planning activities.
• Support planning and execution of merit, bonus, incentive, and other compensation cycles, including preparation, testing, eligibility review, data audits, manager tools, communications, post-cycle reporting, and related process improvements.
• Design, build, administer, or enhance compensation-related applications, workflows, automation tools, dashboards, and AI-supported solutions that improve modeling, data validation, reporting, employee experience, and operational efficiency.
• Maintain and audit compensation-related data in HR systems, including job profiles, grades, ranges, compensation changes, and related employee records.
• Identify opportunities to streamline compensation operations through low-code or no-code tools, scripting, APIs, business intelligence tools, or enhanced workflows. Maintain documentation, controls, and governance practices for compensation processes, systems, and applications.
• Support compensation governance practices, approval processes, records retention expectations, pay transparency requirements, wage and hour considerations, and company policies. Protect the integrity and confidentiality of compensation systems, employee data, and related information.
• Partner cross-functionally on HR initiatives, educational materials, employee or manager communications, presentations, and decision-making tools related to compensation programs and processes.

Compensation Analyst – AI & Systems Development

• Conduct research and analysis on the AI services and related broader services markets
• Deliver insightful and actionable advice to clients in a variety of roles within the high-tech industry
• Create innovative, thought provoking, and highly leveraged “must-have insights” content
• Develop new insights and ideas through thought leadership and offer compelling, actionable approaches to client's needs and requests
• Provide clients and prospects with actionable advice aligned to their designated content area

Senior Director Analyst – AI Services

• Lead a cross-functional product pod of Solution Consultants, Pega Configurators, and Business Analysts to deliver Pega-based workflow automation solutions aligned to business priorities.
• Provide day-to-day product direction, delivery oversight, mentorship, and issue resolution support to help the team meet commitments and maintain high execution standards.
• Own solution delivery from discovery and design through configuration, testing, deployment, and post-implementation feedback, with a focus on quality, usability, scalability, and control readiness.
• Work hands-on within Pega App Studio and Dev Studio to support solution design, configuration, testing, and implementation of workflow capabilities.
• Partner with architecture and engineering teams to ensure solutions align with platform architecture, technical standards, security requirements, and software delivery lifecycle expectations.
• Translate operational pain points, process inefficiencies, and business needs into clear product requirements, workflow designs, user stories, acceptance criteria, and delivery plans.
• Partner directly with operational leaders and business stakeholders to assess opportunities, shape solution options, manage expectations, and drive alignment on scope, priorities, benefits, and delivery timelines.
• Establish and monitor success measures for delivered solutions, including adoption, operational efficiency, user experience, quality, risk reduction, and other relevant business outcomes.
• Elevate product management practices across the team by improving intake, prioritization, roadmap planning, stakeholder communications, and outcome measurement.
• Identify and help resolve risks, issues, impediments, and dependencies that could impact delivery quality, control effectiveness, or business outcomes.
• Foster a collaborative, inclusive, and accountable team environment that supports talent development, clear communication, continuous improvement, and operational excellence.

Pega Product & Solution Delivery Lead – AI Case Management

• Drive enterprise-wide adoption of AI tools and workflows across departments.
• Partner with business leaders to identify operational inefficiencies and opportunities for AI integration.
• Develop and implement AI-driven process improvements that enhance productivity and reduce manual work.
• Act as an internal consultant to business teams on AI use cases and workflow optimization.
• Help establish AI best practices and promote responsible AI usage across the organization.
• Collaborate with cross-functional departments to translate business needs into scalable AI solutions.
• Help manage organizational change related to AI implementation and workflow transformation.
• Build resources, documentation, and SOPs related to AI usage and processes.
• Lead the implementation and optimization of AI tools and platforms.
• Track and report on AI initiative outcomes, adoption metrics, productivity improvements, and operational impact.
• Help ensure AI usage aligns with company policies, compliance requirements, and operational goals.
• Maintain organized documentation related to AI initiatives, workflows, and training materials.

AI Enablement Manager

• Configure and maintain Copilot using the Microsoft 365 Admin Center and Copilot Control System
• Execute day-to-day system settings, feature toggles, and configuration updates as directed by IT leadership
• Ensure Copilot operates reliably, securely, and in alignment with defined policies
• Manage Copilot license allocation and revocation using security groups
• Monitor license utilization via the Copilot Dashboard
• Identify and flag underutilized licenses for reallocation
• Implement sensitivity labels, access controls, and SharePoint permissions aligned with governance frameworks
• Identify and remediate overly permissive access that may expose sensitive data through Copilot
• Support enforcement of data protection and compliance standards within M365
• Monitor Copilot usage telemetry and generate regular reports for IT leadership
• Track license counts and contract renewal timelines
• Identify trends, anomalies, and adoption gaps
• Surface recommendations while deferring architectural and vendor decisions to leadership
• Monitor usage of secondary AI tools (e.g., ChatGPT Business for marketing) against acceptable use policies
• Escalate policy violations or data handling concerns to management
• Support deployment of custom AI agents in Copilot Studio, including testing configurations and verifying access controls
• Document deployment procedures and technical processes

M365 Administrator – AI

• Serve as a main technical voice for your account team
• Build deep, trusted relationships with C-suite and technical stakeholders
• Demonstrate how Salesforce's capabilities complement OpenAI's models
• Take ambiguous business problems and apply AI-first mindset
• Guide customers through solution evaluation and analysis
• Conduct deep-dive discovery with engineering, IT, and business teams
• Design and deliver compelling product demonstrations
• Orchestrate cross-functional solution teams
• Maintain understanding of the current AI competitive landscape
• Act as a feedback loop between OpenAI and Salesforce’s Product organization

Lead Account SE, Strategic 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

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