Senior Big Data Solutions Lead, Vice President

Citi Group; Singapore; On-site; SGD 180,000 - 270,000; Full time

Job summary

Citi Group in Singapore seeks a Senior Big Data Solutions Lead, Vice President, to drive end-to-end delivery of data-intensive and GenAI-enabled applications. You will coordinate cross-functional teams across engineering, data, product, and leadership to execute complex projects while upholding architecture standards.

The role emphasizes strong governance, risk management, and DevOps practices, with emphasis on scalable distributed systems and cloud-native platforms.

Qualifications

• Bachelor's degree or equivalent experience; Master's preferred.
• 10–12 years in IT/Technology delivering large-scale applications.
• Experience with Java 17, Scala, and messaging like Kafka/Solace.
• Proficiency with Kubernetes/OpenShift and microservices.
• Experience with GenAI, LangChain, OpenAI API, Hugging Face.

Responsibilities

• Coordinate end-to-end delivery of full-stack and GenAI projects.
• Oversee backend/frontend services, databases, and containers.
• Ensure SDLC controls, security policies, and regulatory compliance.
• Manage risks, defects, and cross-team dependencies.
• Collaborate with engineers, data teams, and leadership.

Skills

Full-stack delivery lifecycle

Backend development

GenAI engineering projects

SDLC governance

Agile/Scrum practices

Stakeholder management

CI/CD & DevOps

Distributed systems analysis

Education

Bachelor's degree or equivalent

Master's degree preferred

Tools

Kubernetes

OpenShift

AWS ECS

PostgreSQL / MySQL

MongoDB / DynamoDB / Couchbase

KDB

LangChain / OpenAI API / Hugging Face

Job description

The Senior Big Data Solutions Lead, Vice President is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities

• Project Planning & Execution: Coordinates end-to-end delivery of full-stack and GenAI engineering projects, identifying technical resource requirements, managing cross-functional dependencies, and establishing sprint and milestone schedules.
• Technical Delivery : Oversees technical deliverables across modern tech stacks-including backend services (Python, Java, REST APIs), frontend frameworks, relational databases (PostgreSQL, MySQL), NoSQL stores (MongoDB, DynamoDB, Couchbase), and containerized platforms (OpenShift, Kubernetes, AWS ECS) including KDB.
• AI & Innovation Integration: Tracks and coordinates proof-of-concepts (POC's) and production implementations involving Generative AI frameworks (e.g., Lang Chain, Open AI API, Hugging Face models), ensuring alignment with enterprise architecture and AI safety policies.
• Risk, Governance & Control: Verifies adherence to strict software development lifecycle (SDLC) controls, architectural standards, change management protocols, information security policies, and regulatory compliance.
• Issue & Dependency Management: Determines scope, root causes, and impacts of technical risks, blockers, and defect backlogs; actively drives cross-team resolution and mitigation strategies.
• Stakeholder Collaboration: Bridges communication between software engineers, architects, data teams, product owners, and business leadership to align technical solutions with business goals.
• Evaluative Decision-Making: Provides evaluative judgment based on deep analysis of factual project and architecture data in complex, distributed systems environments.
• Continuous Improvement: Drives adoption of Agile/Scrum best practices, CI/CD pipeline automation, and modern DevOps/cloud standards to optimize engineering throughput.
• Operational Excellence: Appropriately assesses risk when business and technical decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding assets by driving compliance with applicable laws, rules, and regulations, adhering to Policy, and escalating control issues with transparency.

Qualifications

• 10-12 years of relevant experience in IT/Technology as a delivery lead.
• Technical Acumen: Practical understanding of fullstack development lifecycles, backend frameworks ( Java , Python ), and modern API design ( RESTful APIs , microservices architecture).
• Data Architecture Knowledge: Familiarity with relational database concepts ( PostgreSQL , MySQL ) and NoSQL document/key-value stores ( MongoDB , DynamoDB , Couchbase ) & KDB for dealing with timeseries data.
• Cloud & Containerization: Working knowledge of container management and orchestration platforms ( Kubernetes , Red Hat OpenShift , AWS ECS ) and CI/CD pipelines.
• Generative AI & LLMs: Exposure to or experience coordinating initiatives leveraging Generative AI , LangChain , OpenAI API , and Hugging Face toolkits/libraries.
• Analytical & Problem-Solving: Superior ability to dissect complex system architectures, anticipate delivery bottlenecks, and resolve cross-team technical dependencies.
• Communication & Influence: Excellent diplomacy, verbal/written communication, and stakeholder management skills with both technical and executive audiences.

Education & Requirements

• Bachelor's degree/University degree or equivalent experience
• Master's degree preferred
• At least 10 -12 years overall software development experience on majorly working with handling application with large scale data volumes from ingestion, persistence and retrieval.
• 5+ years of experience in leading a small to medium-size development teams
• Proficiency in enterprise level application development using Java 17,scala, Oracle (or comparable database) and Messaging infrastructure like Solace, Kafka, Tibco EMS
• Experience with developing Microservices using Kubernetes or ECS
• Good knowledge of Distributed databases/ Caching technologies like Gemfire, Apache Ignite, Couchbase
• Proficient with concepts like Time Complexity, Distributed Computing
• Proficient with test-driven (TDD) and behavior-driven development (BDD) concepts and tools
• Proficient with Data structures, Algorithms and Design patterns.
• Proficient with shell scripting in Linux
• Knowledge of core banking/financial services systems for Capital Markets asset classes like FX, Equities, Rates is a plus
• Strong knowledge in Big data echo system is a plus

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.