
Global investment banking and financial services
Technology Lead Business Analyst - AIML AND Data Analytics - Vice President
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:
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Must to have 10-15 years of experience as Business Analyst with strong experience into AIML and Data Analytics
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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
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Prompt engineering and basic agent workflows
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Vector search and retrieval concepts
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Familiarity with Gen‑AI frameworks/tools such as Lang Chain, Lang Graph, MLflow, or workflow orchestration tools (e.g., n8n) (hands‑on experience preferred, but deep ML expertise not mandatory)
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Experience integrating Gen‑AI APIs (OpenAI, Gemini, Claude, etc.) into production applications
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Familiarity with at least one major cloud provider (AWS, GCP, or Azure)
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Strong experience in SaaS Technology and Business Intelligence & Data Analytics
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Hands on experience working with business intelligence & data visualization tools such as Tableau and / or Micro Strategy.
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Hands on experience writing SQL experience in Oracle RDBMS
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Experience with data governance & data quality
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Experience implementing data integration solutions with latest technology
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Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis
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Excellent analytical and problem solving skills
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Experience with all phases of Software Development Life Cycle
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Extensive experience system analysis and in design and implementation of complex software applications
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Comprehensive knowledge of the principles of business analysis
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Ability to adjust priorities quickly as circumstances dictate
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Consistently demonstrates clear and concise written and verbal communication
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Ability to work effectively with a diverse group of business and technical personnel
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Experience with SaaS platform implementations & configurations and data analytics & reporting tool implementations
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Ability to utilize AI tools in day-to-day work
Education:
- Bachelor's degree/University degree or equivalent experience
- Master's degree preferred
Job Family Group:
Technology
Job Family:
Business Analysis / Client Services
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
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About Citigroup

Citigroup
PublicCitigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.
10,001+
Employees
New York City
Headquarters
$86B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.8
Compensation
2.5
Culture
4.0
Career
3.2
Management
3.5
65%
Recommend to a friend
Pros
Good work-life balance
Supportive management and colleagues
Good benefits
Cons
Low or uncompetitive salary/pay
Long hours during peak times
Poor management and lack of direction
Salary Ranges
48 data points
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Business Analytics Senior Analyst
3 reports
$117,000
total per year
Base
$120,800
Stock
-
Bonus
-
$117,000
$117,000
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Interview
4
Panel/Group Interview
5
Final Round
6
Offer
Common questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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