Vp lending data engineering & analytics technology Job at Citi (Chennai)

Job Description

This is a senior technology and data leadership role responsible for the design, development, and enhancement of data and analytics capabilities supporting Wealth Lending Servicing platforms. The role brings together deep expertise in data engineering, analytics, and enterprise integration to deliver scalable, resilient solutions aligned with business objectives and the target‑state Wealth Lending technology architecture. The individual acts as a bridge between business and technology, translating operational, risk, and regulatory requirements into high‑quality data solutions that support the global end‑state Lending Servicing platform.

Job Responsibility

Analyze Wealth Lending Servicing data to deliver actionable insights supporting business, operations, risk, and regulatory reporting needs
Own definition, calculation, and validation of key Lending metrics and KPIs to ensure consistency across platforms and reports
Design and maintain logical and physical data models, translating business and regulatory requirements into clear data and analytical specifications
Partner with application, platform, and integration teams to deliver scalable, resilient data pipelines and analytical solutions
Ensure data quality, integrity, reconciliation, and exception handling across end‑to‑end Lending Servicing data flows
Maintain end‑to‑end data lineage and traceability, ensuring compliance with enterprise architecture and regulatory standards
Act as a bridge between business, product, operations, risk, compliance, and technology teams to align data solutions with business intent
Contribute as a senior data lead in Agile delivery teams, defining data stories, validating outputs, and driving timely execution
Proactively identify data issues and improvement opportunities, driving remediation to enhance platform reliability and data transparency
Influence stakeholders through clear, data‑driven communication and well‑reasoned analytical recommendations

Requirements

10–15 years of experience in Financial Services, with a strong focus on data analytics, data engineering, and technology delivery within complex, regulated environments
Proven experience delivering Lending or Credit domain data solutions, preferably across servicing, payments, statements, risk, or regulatory reporting
Solid understanding of RDBMS (SQL, PL/SQL) with knowledge in NoSQL databases (e.g., Cassandra, MongoDB, DynamoDB)
Solid experience in data modeling (conceptual, logical, and physical), including definition of metrics, hierarchies, and business rules to support analytics and reporting
Experience designing and delivering end‑to‑end data solutions across multiple systems, including source‑to‑target mappings, data pipelines, and downstream consumption (reports, dashboards, extracts)
Strong understanding of data governance, data quality controls, lineage, reconciliation, and regulatory reporting requirements in a banking environment
Familiarity with distributed data platforms, databases, and integration patterns
experience with Java-based systems is a plus but not mandatory
Ability to translate business, risk, and regulatory requirements into clear analytical specifications, data structures, and actionable insights
Experience working in Agile delivery models, collaborating closely with Product, Operations, Risk, and Technology stakeholders
Demonstrated ability to document data designs, analytical logic, lineage, and control frameworks in line with enterprise and regulatory standards
Strong communication and influencing skills, with the ability to present data-driven insights and recommendations to senior stakeholders

Nice to have

Familiarity with distributed data platforms, databases, and integration patterns
experience with Java-based systems is a plus but not mandatory

Citi - All Job Offers

Select Country

Vp lending data engineering & analytics technology

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?

Vp lending data engineering & analytics technology

After School Nanny

Assistant Project Manager

Controller

Optical Assistant

SEMH Teacher

Optical Assistant

Business Manager

Supply Ks1 Teacher - Leeds - September Start

Our AI answers in your language