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.
Responsibilities:
- 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.
Qualifications:
- 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) (hands‑on experience preferred, but deep ML expertise not mandatory)
- 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
Education:
- Bachelor's degree/University degree or equivalent experience
- Master's degree preferred
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Job Family Group:
Technology
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Job Family:
Business Analysis / Client Services
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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