AI Business Analyst - Job Description Mandatory Requirements + 5+ years of experience working as a Business Analyst or Systems Analyst in technology-driven environments. + Strong understanding of AI/ML concepts, data-driven decision-making, analytics workflows, and modern digital platforms. + Proven experience working across the product development lifecycle (requirements, design, UAT, go-live, and post-implementation support). + Ability to understand, analyze, and translate complex business processes into functional and technical requirements. + Robust analytical mindset with the ability to research, interpret, and present insights to drive business solutions. + Excellent communication and interpersonal skills, capable of working with stakeholders at all organizational levels. + Experience with data analysis, KPI definition, dashboarding, and converting analytical findings into business value. + Familiarity with predictive modelling, AI solution use cases, automation opportunities, and workflow optimization. + Experience collaborating with engineering, QA, data science, and product teams in fast-paced environments. Responsibilities Business Analysis & Requirements + Elicit, gather, and document business requirements for AI, analytics, and automation initiatives. + Convert business needs into functional specifications, user stories, process flows, and acceptance criteria. + Serve as the bridge between business teams, AI/ML teams, product owners, and engineering. + Participate in solutioning workshops to align business needs with technical capabilities. AI/ML & Data Solution Support + Work with data scientists to translate business challenges into AI/ML use cases and measurable outcomes. + Assist in model validation, data quality checks, feature inputs,



and business interpretation of model results. + Help define KPIs, measurement criteria, and success metrics for AI-driven processes. + Support development of analytics dashboards, reporting frameworks, and decision-support tools. Project Execution & Collaboration + Support solution design activities including process optimization, automation, and data transformation. + Perform data analysis, validation, mapping, and transformation for system inputs/outputs. + Participate in and support all testing cycles including functional testing, UAT, and regression. + Develop user guides, training materials, and conduct stakeholder training sessions. + Assist in project planning, tracking activities, documentation preparation, and project communication. Implementation & Post-Implementation + Support integrations between AI systems, enterprise platforms, and third-party applications. + Monitor system performance, help troubleshoot issues, and recommend continuous improvements. + Work with cross-functional teams to ensure smooth product rollouts and enhancements. Key Skills + Requirements analysis & documentation + Process modelling (BPMN, flowcharts, user journeys) + AI/ML concepts (basic understanding of models, data pipelines, automation logic) + Data analysis & visualization (Excel, SQL, Power BI, Tableau) + Agile methodologies, JIRA/Confluence + Strong problem-solving and stakeholder management skills + Ability to work independently and lead cross-functional discussions Optional / Good-to-Have + Experience in RPA, intelligent automation, or conversational AI. + Background in product-based or platform-based solution design. + Exposure to cloud platforms (Azure, AWS, GCP). + Certifications in Business Analysis (CBAP, CCBA), Product Ownership, or Agile.

📌 Systems Integration Senior Specialist (Noida)
🏢 NTT America
📍 Noida