> Markdown version of [/jobs/ext/3696312-systems-analyst](https://www.wearedevelopers.com/jobs/ext/3696312-systems-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Analyst - **Company:** Kforce Inc. - **Location:** New York, NY, United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Confluence, JIRA, Microsoft Azure, Identity and Access Management, Machine Learning, Automation of Marketing, Microsoft Copilot, Generative AI, Agentic-AI, Azure AI - **Published:** October 12, 2026 - **Apply:** https://www.dice.com/job-detail/73403899-a370-4c1d-806f-03bb0dedaa56 ## About the Role * 1-3 years of experience in Product Management, Business Analysis, Product Operations, Digital Transformation, AI Enablement, or a related field * Experience gathering business requirements and translating them into user stories and acceptance criteria * Strong communication and stakeholder management skills * Ability to work across technical and non-technical teams * Analytical mindset with the ability to evaluate complex workflows and business processes * Familiarity with Agile methodologies, backlog management, and product delivery processes Preferred: * Exposure to Generative AI, Copilot, AI agents, automation platforms, or machine learning products * Experience working with engineering, data, or analytics teams * Familiarity with Azure AI, Microsoft Copilot, Power Platform, or similar enterprise AI ecosystems * Understanding of identity, access management, and governance concepts * Experience using tools such as Jira, Azure DevOps, Confluence, or equivalent product management platforms ## Description Kforce has a client in NYC that is seeking a Systems Analyst., * Build, maintain, and continuously evolve a comprehensive inventory of AI user personas across business, analytics, and engineering communities * Identify key user objectives, pain points, workflows, and success measures for each persona group * Partner with stakeholders to validate persona requirements and ensure ongoing alignment with organizational priorities * Document persona-specific capabilities, access needs, and enablement requirements * Translate persona needs into actionable product requirements, features, and backlog items * Create and maintain user stories, acceptance criteria, and workflow documentation * Prioritize requests across multiple stakeholder groups while balancing platform scalability and business impact * Facilitate discussions between teams to resolve competing priorities and define clear implementation paths * Partner with engineering teams throughout the development lifecycle to ensure successful delivery * Assess user workflows and determine when a business process warrants creation of a reusable AI skill, agent, automation, or shared capability * Evaluate opportunities for standardization and reuse across departments * Identify common patterns across teams that can be transformed into scalable platform solutions * Contribute to governance and best practices for AI skill development and lifecycle management * Act as the primary liaison between business users, product teams, and engineering organizations * Facilitate requirements gathering sessions, workshops, and feedback reviews * Build consensus across cross-functional stakeholders and drive alignment on priorities * Communicate roadmap updates, feature requirements, and adoption opportunities