Senior Business Analyst with Agentic AI

Job Description: Senior Business Analyst with Agentic AIEducation and Work Experience Bachelor’s degree in computer science, information technology, engineering, business management, public administration, or a related discipline. At least 8 years of solid business analysis experience, preferably supporting strategic, enterprise-wide, digital transformation, automation, AI, or emerging technology initiatives. Proven experience working with leadership teams, business sponsors, product owners, governance committees, and cross functional stakeholder groups. Demonstrated experience facilitating workshops, stakeholder interviews, validation sessions, and decision-making discussions for complex initiatives. Experience preparing business requirements, process flows, use cases, user stories, evaluation criteria, comparison matrices, decision papers, recommendation reports, and executive-ready presentation materials. Experience supporting feasibility assessments, proof-of-concept initiatives, product evaluations, vendor/platform comparisons, or technology recommendation reports is highly desirable. Experience in AI, automation, ServiceNow, Microsoft Power Platform, enterprise platforms, workflow management, or IT service management is an advantage. Technical Knowledge Strong understanding of business analysis practices, requirements elicitation, process mapping, stakeholder analysis, documentation standards, traceability, and validation techniques. Working knowledge of technology evaluation methods, including common evaluation criteria, success thresholds, business impact analysis, cost-benefit considerations, risk assessment, and decision-support documentation. Familiarity with AI, generative AI, Agentic AI concepts, workflow orchestration, automation, integration, governance controls, Responsible AI principles, auditability, and operational readiness considerations. Understanding of SDLC, Agile delivery, quality assurance, testing coordination, acceptance criteria, and release readiness documentation. Ability to translate technical findings from architects, developers, AI engineers, and platform SMEs into clear business implications for non-technical and leadership audiences.