Role Overview We are seeking an experienced Senior Business Analyst with strong expertise in Data Technologies and a deep understanding of Artificial Intelligence (AI) and Generative AI solutions. The ideal candidate will act as a bridge between business stakeholders and technology teams, driving data-driven transformation initiatives, AI adoption, and strategic business outcomes. The candidate should possess strong analytical skills, experience working with large-scale data platforms, and the ability to translate business requirements into actionable data and AI solutions. Key Responsibilities • Collaborate with business stakeholders to gather, analyze, and document business requirements, functional specifications, and user stories. • Lead requirement discovery workshops and facilitate discussions between business and technical teams. • Analyze business processes, identify improvement opportunities, and recommend data-driven solutions. • Work closely with Data Engineering, Data Science, AI/ML, and Product teams to deliver scalable solutions. • Define business KPIs, success metrics, and data governance requirements. • Prepare BRDs, FRDs, process flows, use cases, and data mapping documents. • Support Agile/Scrum ceremonies, backlog prioritization, and sprint planning activities. • Perform impact analysis and ensure traceability throughout the project lifecycle. • Drive AI and analytics initiatives by identifying business use cases and value realization opportunities. • Partner with stakeholders to define AI adoption strategies, responsible AI practices, and operational processes. Data Technology Expertise • Strong understanding of: • Data Warehousing concepts • Data Lakes and Lakehouse architectures • ETL/ELT frameworks • Data Modeling (Dimensional & Relational) • Data Governance and Data Quality • Master Data Management (MDM) • Big Data technologies and cloud-native data platforms • Experience with: • SQL and advanced data analysis • Databricks • Snowflake • Azure Data Platform / AWS Data Services / GCP • Power BI, Tableau, or similar BI tools • Data lineage and metadata management tools AI & Generative AI Knowledge • Strong understanding of: • Machine Learning lifecycle and concepts • NLP (Natural Language Processing) • Generative AI and Large Language Models (LLMs) • Retrieval-Augmented Generation (RAG) • Prompt Engineering • AI Agents and Agentic Workflows • AI Governance, Responsible AI, and Model Risk Management • Experience identifying and documenting AI use cases involving: • Intelligent Automation • Conversational AI • Knowledge Management • Predictive Analytics • Recommendation Systems • Document Intelligence • AI-powered Business Process Optimization