VP - KYC Operations Data Lead

Citi; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Citi is seeking a VP-level KYC Operations Data Lead in New York to architect and drive scalable automation initiatives. You will mentor teams, lead AI-driven BI projects, and translate complex data patterns into decision-ready visuals for stakeholders.

The role demands deep expertise in SQL, Python/R, Tableau, and SAS, with Agile project leadership and strong governance discipline.

Qualifications

• 10-12 years of data management and handling with Tableau automation experience.
• Proficiency in SAS, SQL, Tableau.
• Understanding of agentic solution design and scalable architectures.
• Experience mentoring technical teams and leading projects.

Responsibilities

• Architect, design, and lead scalable automation initiatives in KYC data.
• Develop advanced Tableau dashboards translating AI insights for stakeholders.
• Integrate AI-driven workflows and model outputs into reporting.
• Collaborate cross-functionally to translate requirements into BI/AI solutions.

Skills

SQL

Python

R

Tableau

SAS

AGILE

Mentoring

Education

Bachelor's degree in CS/IT/Data Science

Tools

APIs

Tableau Server

ETL tools

Job description

VP - KYC Operations Data Lead

Job Overview

The senior professional responsible for architecting, designing, and leading the development of innovative and scalable automation solutions. The overall objective is to leverage deep technical expertise and leadership skills to drive the execution of key automation initiatives and mentor other team members.

Responsibilities

• Advanced Tableau Visualization: Develop sophisticated, interactive Tableau dashboards that translate AI-generated insights and complex data patterns into clear, decision-ready visuals for stakeholders.
• AI Integration: Design and implement AI-driven workflows that augment data analysis, such as predictive modeling, anomaly detection, or natural language querying, and integrate these into existing enterprise systems.
• Output Validation & Governance: Ensure AI-generated insights are accurate, grounded in trusted business logic, and adhere to data governance and security protocols.
• Cross-Functional Collaboration: Partner with data engineers, business stakeholders, and technical teams to identify business requirements and translate them into scalable AI and BI solutions.

Technical Proficiency

• Data Handling: Expert-level SQL and experience with Python or R for data manipulation.
• BI Tooling: Deep expertise in Tableau (Desktop, Server, and Online), including creating custom calculations, advanced parameters, and optimized data extracts.
• AI/ML Knowledge: Solid understanding of how to integrate Machine Learning models (via APIs, R/Python scripts in Tableau, or external integrations) into business reporting.

Qualifications

• 10-12 years of overall experience with data management and handling, advanced knowledge of Tableau and automation tools.
• Proficiency in SAS, SQL, Tableau.
• Understanding of agentic solution design.
• Strong experience in architecting and designing highly scalable, available, and performant technology solutions.
• Deep expertise in agent training, performance measurement, and feedback processes.
• Proven ability to mentor and lead technical teams.
• Strong exposure to program/project management, Agile methodologies, and planning development timelines.
• In-depth knowledge of compliance, security, and performance management in a production environment.

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, view Citi's EEO Policy Statement and the Know Your Rights poster.