• Play a pivotal role in helping clients transform their business operations and achieve strategic objectives • Work closely with clients to understand their challenges, define requirements, and ensure successful delivery of transformation initiatives • Strong analytical skills, stakeholder engagement, and the ability to turn complex user and business needs into practical, deliverable solutions

Role Description We are seeking an AI Business Analyst with Prompt Engineering experience to support AI-driven business initiatives and enterprise AI operations. Qualifications - Strong business analysis experience in AI, IT operations, automation, software delivery, digital transformation, enterprise support, platform enablement, or SaaS operations. - Good understanding of GenAI tools and platforms such as ChatGPT Enterprise, Claude Enterprise, OpenAI API, enterprise AI workspaces, and model orchestration concepts. - Experience with Slack-based support, Zendesk, Jira, Confluence, ServiceNow, or similar intake, workflow, and ticketing platforms. - Understanding of AI agents, tool calling, prompt behavior, human-in-the-loop workflows, agent lifecycle management, and runtime orchestration concepts. - Understanding of license management, user provisioning, Okta SCIM, access approvals, enterprise identity workflows, and access governance concepts. - Ability to convert ambiguous business and AI operations needs into structured requirements, workflows, user stories, acceptance criteria, test cases, and operating procedures. - Strong process mapping skills for workflows involving users, systems, approvals, exceptions, escalations, and operational support flows. - Ability to work with technical teams on APIs, integrations, MCP tools, data sources, runtime behavior, and model configuration requirements. - Experience working in Agile delivery teams with sprint planning, backlog grooming, demos, velocity tracking, and iterative delivery methodologies. - Ability to write clear process documents, SOPs, runbooks, user guides, support playbooks, and structured operational documentation. - Strong stakeholder management and communication skills across business users, product owners, engineering, security, governance, platform, and support teams. - Working knowledge of AI governance concepts including data privacy, access control, retention, redaction, model usage policies, responsible AI, and enterprise governance requirements. - Comfortable creating structured documentation for agent builds, testing, deployment, operational support, lifecycle management, and release processes. Requirements - Gather, analyze, and document business requirements for AI and enterprise operations initiatives. - Support AI platform operations, automation workflows, and digital transformation programs. - Collaborate with cross-functional teams including business users, product owners, engineering, security, governance, and support teams. - Define and document workflows, user stories, acceptance criteria, test cases, SOPs, runbooks, and operational procedures. - Assist in AI agent lifecycle management, prompt engineering activities, workflow orchestration, testing, deployment, and operational support. - Support integrations involving APIs, MCP tools, enterprise systems, and AI platforms. - Ensure adherence to AI governance, data privacy, access control, and enterprise compliance requirements. - Participate in Agile ceremonies including sprint planning, backlog grooming, demos, and delivery tracking. Company Description NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency.

• Lead requirements gathering, analysis, documentation, and validation for Medicaid pharmacy claims, MMIS processing, eligibility, prior authorization, and related workflows. • Facilitate discussions with business, vendor, and technical teams to define requirements, resolve issues, and align on scope and priorities. • Translate business, policy, and regulatory needs into clear requirements, user stories, process flows, business rules, and acceptance criteria. • Analyze current and future-state processes to identify gaps, risks, dependencies, and improvement opportunities. • Maintain key project artifacts such as traceability matrices, workflow documentation, interface mappings, and decision logs. • Partner with testing teams to develop test scenarios, support SIT and UAT, manage defects, and validate business outcomes. • Support implementation, change requests, issue resolution, and production support activities. • Mentor junior analysts and promote consistent analysis, documentation, and collaboration practices.

• Translate complex data signals into root-cause narratives and actionable operational or product recommendations. • Define success metrics, KPIs, monitoring frameworks, and develop predictive analytics mechanisms for Disputes and Fraud Ops. • Build enhanced metric and KPI frameworks that help identify emerging trends, performance shifts, and anomalies across Fraud Ops and Dispute Ops. • Conduct in-depth workflow and lifecycle analyses—such as examining interaction patterns, segment behaviors, and before/after performance changes. • Partner with Product, Engineering, Fraud Strategy, and Ops to evaluate and improve AI-enabled workflows, including automated decisioning, classification models, and agent augmentation tools. • Design and evaluate A/B tests, policy changes, rule deployments, workflow adjustments, and operational interventions. • Create concise, executive-level summaries that distill investigations into clear narratives with quantified impacts and recommended next steps. • Work closely with Operations, Risk, Product, and Engineering to ensure shared understanding of problems and alignment on solutions.