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Technology Lead Business Analyst - AIML AND Data Analytics - Vice President is a senior-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning.
Job Responsibility:
Develop creative technical solutions to meet business needs and manage complex, high volume applications in partnership with business partners and stakeholders
Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects
Contribute to formulation of strategies/processes for Product Road map, Development and Governance and contribute to defining standards and new automation initiatives
Consult with business clients to determine system functional specifications and partner with multiple management teams and other units to meet organizational objectives
Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards
Develop communication to guide, influence and convince others, including colleagues in other areas and external customers
Provide advice and counsel related to the technology or operations of the business and filter, prioritize and validate potentially complex material from multiple sources
Supervise day-to-day staff management issues, including resource management, work allocation, mentoring of onsite and offsite resources and other duties and functions as assigned
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Requirements:
Must to have 10-15 years of experience as Business Analyst with strong experience into AIML and Data Analytics
Experience utilizing AI / Gen AI tools & technologies to solve complex business problems. Exposure to Gen‑AI concepts including: Large Language Models (LLMs) and transformer‑based systems, Prompt engineering and basic agent workflows, Vector search and retrieval concepts
Familiarity with Gen‑AI frameworks/tools such as LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n)
Experience integrating Gen‑AI APIs (OpenAI, Gemini, Claude, etc.) into production applications
Familiarity with at least one major cloud provider (AWS, GCP, or Azure)
Strong experience in SaaS Technology and Business Intelligence & Data Analytics
Hands on experience working with business intelligence & data visualization tools such as Tableau and / or MicroStrategy
Hands on experience writing SQL experience in Oracle RDBMS
Experience with data governance & data quality
Experience implementing data integration solutions with latest technology
Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis
Excellent analytical and problem solving skills
Experience with all phases of Software Development Life Cycle
Extensive experience system analysis and in design and implementation of complex software applications
Comprehensive knowledge of the principles of business analysis
Ability to adjust priorities quickly as circumstances dictate
Consistently demonstrates clear and concise written and verbal communication
Ability to work effectively with a diverse group of business and technical personnel
Experience with SaaS platform implementations & configurations and data analytics & reporting tool implementations
Ability to utilize AI tools in day-to-day work
Bachelor's degree/University degree or equivalent experience
Nice to have:
Master's degree preferred
Hands‑on experience preferred with Gen‑AI frameworks/tools such as LangChain, LangGraph, MLflow, or workflow orchestration tools (e.g., n8n)