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.

Role Description The Business Analyst serves as a strategic partner to business stakeholders by transforming data into actionable insights that improve decision-making, operational effectiveness, and business performance. The role works closely with business and technical teams to understand business objectives, identify opportunities for improvement, and develop reporting, analytics, and process automation solutions that support organizational goals. This position is responsible for supporting and enhancing existing reporting and analytics capabilities, developing new reporting solutions, analyzing business data to identify trends and opportunities, and recommending improvements to business processes, reporting strategies, and decision-making practices. The Business Analyst helps ensure business data is accurate, reliable, and effectively utilized to support operational and strategic objectives. Operating within the IT Data Solutions team, this role serves as a bridge between business needs and technology capabilities, supporting the administration and continuous improvement of analytics platforms, reporting environments, and data assets. The position also contributes to the development of reporting standards, analytics best practices, and data management processes that improve the firm's overall analytics maturity. All responsibilities must be performed under management guidance and in accordance with established practices (policies, procedures, and standards), ensuring consistency, accountability, and adherence to active IT controls. - Business Partnership & Requirements Management: Build and maintain strong working relationships with business stakeholders and technical teams to understand business objectives, information needs, and operational challenges. - Reporting & Analytics Support: Support, maintain, and continuously improve existing reporting and analytics solutions. - Insight Development & Recommendations: Analyze business data and reporting trends to identify opportunities for improved visibility, decision-making, operational effectiveness, and business performance. Recommend new metrics, reports, analytics, and process improvements based on business needs and data insights. - Business Analysis & Solution Development: Analyze business data, processes, and requirements to identify opportunities for improved reporting, analytics, and business insights. Design, develop, and implement solutions that support business objectives and decision-making. - Process Improvement & Automation: Support process improvement and automation initiatives that increase efficiency, consistency, and business value. - Data Quality & Utilization: Ensure business data is accurate, reliable, timely, and effectively utilized for reporting and analytics. - Analytics Platform Administration: Support the administration, maintenance, and continuous improvement of analytics and reporting platforms, including Microsoft Fabric, Power BI, Unanet, and related data platforms. - Data Architecture & Integration Support: Work with technical teams to ensure data models, integrations, semantic models, and reporting assets effectively support business and security requirements. - Standards & Best Practices: Contribute to the development and adoption of reporting, analytics, and data management standards and best practices. - Documentation and Process Ownership: Maintain high-quality documentation for security configurations, architectures, runbooks, playbooks, and governance processes to ensure operational clarity and audit readiness. - After-Hours Response and Readiness: Provide after-hours support for major incidents and essential support and security operations. - Other Contributions: Perform additional duties as needed to support IT and organizational priorities. Qualifications - Strong analytical, problem-solving, and critical-thinking skills with the ability to identify trends, opportunities, and actionable business insights from data. - Ability to understand business objectives and translate business requirements into reporting, analytics, process improvement, and automation solutions. - Ability to evaluate existing reporting, analytics, and business processes and recommend improvements that increase business value and decision-making effectiveness. - Advanced proficiency with Power BI, Microsoft Excel, and related reporting, analytics, and data visualization tools. - Experience working with complex financial and operational data, business processes, and reporting requirements, including planning, budgeting, forecasting, performance management, and business reporting. - Ability to work with data from multiple business systems and understand how information flows across organizational processes. - Strong communication and relationship-building skills, with the ability to effectively collaborate with executive leadership, business stakeholders, technical teams, and third-party resources. - Ability to manage multiple priorities, work independently, and adapt to changing business requirements. - Knowledgeable of industry reporting standards, analytics best practices, and data management principles. - High degree of integrity, professionalism, and discretion, with the ability to appropriately handle confidential business, financial, operational, and personnel information. Requirements - Bachelor’s degree in Accounting, Finance, Economics, Information Systems, Data Analytics, or a related field; equivalent combination of education and experience may be considered. - Seven (7) years or more of progressively responsible experience in FP&A, financial analysis, business analysis, business intelligence, operations analysis, reporting development, or a related discipline. - Experience working with enterprise business systems, reporting platforms, and data sources used to support business operations and decision-making. - Experience working with Microsoft Fabric, Power BI, data warehousing concepts, semantic models, or similar modern analytics platforms. - Experience supporting executive leadership and business stakeholders through reporting, analytics, and decision-support initiatives. - Experience within engineering, consulting, professional services, or other project-based organizations preferred. - Experience with Unanet or similar ERP and project management platforms preferred.