Business Systems Analyst II - AI Focused

Job Description The Business Systems Analyst II (BSA II) serves as a strategic partner between business units and IT, translating business needs into scalable, data-driven technology solutions. This role carries a dedicated focus on applied artificial intelligence: the BSA II leads the rollout of an enterprise AI adoption and education program that helps Biltmore team members use prompted AI assistants and agentic AI workflows safely, confidently, and effectively in their daily work. Partnering closely with the enterprise data team and fellow business systems analysts, the BSA II identifies high-value AI use cases, builds the underlying data and system foundations, and deploys the resulting solutions into the workplace. The BSA II operates with minimal supervision, drives cross-functional collaboration, and contributes to digital transformation initiatives through data analysis, automation, and AI enablement. Key Responsibilities AI Adoption & Education Program Design, launch, and continuously improve an enterprise AI adoption and education program spanning multiple business areas and lines of businessBuild a role-based curricula and hand-on training covering prompt design, prompted AI assistants, and agentic AI workflowsEstablish and support an AI champions network within each business area to leverage adoption and surface local use casesDevelop prompt libraries, playbooks, and self-service resources that reduce barriers to everyday AI useMeet business areas where they are, tailoring content and pace to widely varying levels of technical comfortMeasure adoption, proficiency, and realized business impact; report progress and outcomes to senior leadership teamsPartner with HR, Legal, Risk, and Compliance to communicate acceptable use, data handling, and responsible AI expectations Prompted & Agentic AI Solutions Translate business processes into AI-assisted and agent-driven workflowsPartner with the Enterprise Data team to ensure AI assistants and agents have governed, well-modeled, AI-ready data and secure access to source systemsCollaborate with business systems analysts to embed AI capabilities into the applications and processes they ownEvaluate AI outputs for accuracy, consistency, bias, and hallucination; define evaluation, monitoring, and feedback loops before and after releaseAssess and pilot vendor AI features and platform capabilities, documenting fit, cost, limitations, and integration requirements Business Analysis & Strategy Identify opportunities to optimize workflows, improve efficiency, and reduce operational riskAlign system solutions with business strategy, KPIs, and customer experience goalsDefine success metrics and support AI-powered decision making Testing & Implementation Lead and coordinate system testing (UAT, integration, regression)Support deployment activities and post-implementation validationDevelop training materials and facilitate end-user adoptionProvide ongoing support and continuous improvement recommendationsDefine test cases and evaluation criteria for AI-assisted and agentic solutions, including edge cases, failure modes, and human handoff pointsDeliver AI training sessions, quick-reference guides, and enablement materials that drive sustained end-user adoption Operational Support & Leadership Maintain system documentation, configurations, and process artifactsMentor junior analysts and contribute to team knowledge sharingSupport change management and adoption initiatives (ITIL or similar frameworks)Support AI governance activities, including use case registry, tool and model inventory, and responsible use reviewServe as a go-to resource for AI questions across the organization Qualifications Education & Experience Bachelor’s degree in Information Technology, Computer Science, Business, or related field (or equivalent experience)3-5+ years of experience in AI technologies, business systems analysis or related IT rolesExperience in corporate or service-oriented environments preferredDemonstrated experience delivering AI, automation, or technology adoption and enablement programs to non-technical business audiencesExperience facilitating training, workshops, or communities of practice at enterprise scale (preferred) Technical Skills Strong experience with: Prompt design, iteration, and evaluation for large language model assistants Familiarity With ITSM frameworks (ITIL preferred)System integrations, APIs, or automation tools (preferred)Agentic AI concepts (tool and function calling, orchestration, retrieval-augmented generation, human-in-the-loop design)Enterprise AI platforms and assistants (e.g., Microsoft Copilot, Claude, ChatGPT Enterprise, or similar)AI governance, responsible use, and data privacy considerations (preferred)Modern data platforms, lakehouse, and data governance concepts (preferred) Core Competencies Excellent analytical, problem-solving, and critical thinking skillsStrong communication skills with ability to translate technical concepts for business audiencesProven ability to manage multiple priorities in a fast-paced environmentHigh attention to detail with strong organizational and time management skillsProactive, self-directed, and solution-oriented mindsetCollaborative team player with strong stakeholder engagement skillsAbility to teach, coach, and build confidence in new technology across widely varying levels of technical skillSound judgment about where AI adds real value and where it does not Additional Expectations Builds positive working relationships across teams and leadership levelsAdapts quickly to changing priorities and business needsMaintains current knowledge of a rapidly evolving AI landscape and shares practical findings across the organizationChampions responsible, transparent, and human-centered use of AI in the workplaceAbility to travel across the property is required. Must have a valid driver's license and be at least 21 years of age.