Application Development Lead (Bigdata & Analytics) - Vice President

Citi; Maharashtra; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Citi is seeking a senior technology leader to define and execute the strategic technology roadmap for the Client Financials portfolio in India. You will guide architectural decisions, lead an expert data and software engineering team, and drive cloud-native data services on AWS with Databricks migrations.

You will influence technology strategy, manage senior stakeholders, and ensure scalable, high-performance analytics platforms while delivering AI-enabled insights and robust financial

Qualifications

• 10+ years of proven experience delivering large-scale software portfolios.
• Enterprise-scale data services, cloud transformation, and architecture.
• Strategic influence with senior business partners.
• Strong background in cloud-native, Big Data, and analytics platforms.
• Cloud & Big Data: AWS, Databricks, Spark, PySpark; Hadoop ecosystem.
• Databases & Analytics: SQL Server and Oracle; high-performance calculations.
• Tools & Practices: Git, Jira, Confluence; DevOps familiarity.
• Exposure to Tableau and AI/ML-enabled analytics is desirable.

Responsibilities

• Define and drive the strategic technology roadmap for Client Financials.
• Provide technical direction and ensure scalable, future-proof builds.
• Lead a high-performing engineering team across data and software domains.
• Orchestrate cloud-native engineering on AWS and Databricks migrations.
• Optimize platform performance, capacity, and throughput for analytics.
• Deliver AI-enabled analytics platforms and predictive insights.
• Represent methodology and align engineering with business strategy.
• Communicate impacts on revenue, expenses, and regulatory calculations.
• Foster partnerships with senior leaders to guide delivery.
• Ensure end-to-end accountability for solution delivery lifecycle.
• Drive agile execution across multiple data engines and platforms.

Skills

Strategic leadership

Executive communication

Cloud architecture

Big data engineering

Spark PySpark

Databricks

SQL/Oracle querying

CI/CD DevOps

Git

Jira Confluence

Education

Bachelor’s degree / equivalent

Master’s degree preferred

Tools

Databricks

Apache Spark

Hadoop/HDFS

SQL Server

Oracle

Jira

Confluence

Git

Job description

• Strategic Technology Roadmap & Architecture
• Define and Execute Vision: Establish and drive the strategic technology architecture roadmap for the Client Financials portfolio, ensuring alignment with long-term business outcomes.
• Technical Direction: Provide strategic direction and critical input into key technology decisions to ensure a scalable, robust, and future-proof buildout.
• Solution Design: Demonstrate deep technical acumen to collaborate with and direct a strong engineering team in making critical architectural and design decisions.
• Cloud-Native Engineering: Lead the design, development, and scaling of enterprise-grade, cloud-native data services on AWS.
• Databricks & Spark Migration: Drive the migration of legacy data platforms to Databricks, delivering high-performance Spark and PySpark solutions.
• Platform Optimization: Optimize system performance, capacity, and infrastructure efficiency to support data-heavy, high-throughput applications.
• AI-Enabled Analytics: Deliver AI-enabled operational and analytics platforms to unlock advanced insights and predictive capabilities.
• Stakeholder Management & Business Alignment
• Methodology Representation: Present and represent the firm's client returns methodology to senior stakeholders across diverse business and technology teams, including Markets, Finance, Risk, Banking, Performance Management, and ICM.
• Impact Analysis: Clearly articulate and present the technology platform's impacts on revenue, expense, GSIB (Global Systemically Important Banks), and tax calculations.
• Relationship Building: Foster strong, collaborative partnerships with senior business and technology leaders to align engineering delivery with business priorities.
• Engineering Leadership & Agile Delivery
• End-to-End Accountability: Take full and direct accountability for the solution delivery lifecycle of the Client Financials portfolio.
• Team Leadership: Lead, mentor, and scale a high-performing team of expert data and software engineers, fostering a culture of technical excellence, quality, and velocity.
• Agile Execution: Drive agile execution across multiple complex data engines, calculation engines, and multi-dimensional analytics platforms.

Key Responsibilities

• Strategic Technology Roadmap & Architecture
• Define and Execute Vision: Establish and drive the strategic technology architecture roadmap for the Client Financials portfolio, ensuring alignment with long-term business outcomes.
• Technical Direction: Provide strategic direction and critical input into key technology decisions to ensure a scalable, robust, and future-proof buildout.
• Solution Design: Demonstrate deep technical acumen to collaborate with and direct a strong engineering team in making critical architectural and design decisions.
• Cloud-Native Engineering: Lead the design, development, and scaling of enterprise-grade, cloud-native data services on AWS.
• Databricks & Spark Migration: Drive the migration of legacy data platforms to Databricks, delivering high-performance Spark and PySpark solutions.
• Platform Optimization: Optimize system performance, capacity, and infrastructure efficiency to support data-heavy, high-throughput applications.
• AI-Enabled Analytics: Deliver AI-enabled operational and analytics platforms to unlock advanced insights and predictive capabilities.
• Stakeholder Management & Business Alignment
• Methodology Representation: Present and represent the firm's client returns methodology to senior stakeholders across diverse business and technology teams, including Markets, Finance, Risk, Banking, Performance Management, and ICM.
• Impact Analysis: Clearly articulate and present the technology platform's impacts on revenue, expense, GSIB (Global Systemically Important Banks), and tax calculations.
• Relationship Building: Foster strong, collaborative partnerships with senior business and technology leaders to align engineering delivery with business priorities.
• Engineering Leadership & Agile Delivery
• End-to-End Accountability: Take full and direct accountability for the solution delivery lifecycle of the Client Financials portfolio.
• Team Leadership: Lead, mentor, and scale a high-performing team of expert data and software engineers, fostering a culture of technical excellence, quality, and velocity.
• Agile Execution: Drive agile execution across multiple complex data engines, calculation engines, and multi-dimensional analytics platforms.

Qualifications & Experience

Experience & Leadership

• 10+years of Proven Experience: Extensive background in software engineering and applications development, with a proven track record of owning and delivering large-scale application portfolios for complex business functions.
• Enterprise Scale: Demonstrated success in building, scaling, and optimizing enterprise data services and driving large-scale cloud transformation initiatives.
• Strategic Influence: Proven ability to influence technology strategy and build strong relationships with senior business and technology partners.

This individual possesses a robust technical background with deep expertise in cloud-native, Big Data, and analytics platforms, essential for driving complex financial solutions.

• Cloud & Big Data Platforms: Deep expertise in AWS cloud-native architecture, coupled with strong hands-on and architectural experience in Databricks, Apache Spark, and PySpark. Proficient in the entire Hadoop ecosystem (HDFS, Hive, Sqoop) for Big Data environments.
• Database & Analytics: Solid exposure to SQL Server and Oracle databases, with strong skills in query writing for data validation and manipulation. Proven experience in building high-performance calculation engines and multi-dimensional analytics platforms, including complex calculations.
• Tools & Practices: Skilled with Git for version control; experienced with JIRA and Confluence for project management. Familiarity with DevOps practices and CI/CD pipelines is also present.
• Reporting & Emerging Tech: Some exposure to Tableau for BI reporting. Familiarity with AI/ML-enabled operational and analytics platforms is highly desirable.

• Executive Communication: Exceptional communication and presentation skills, with the ability to explain complex technical architectures and financial methodologies (e.g., revenue, expense, GSIB, tax) to senior executives.
• Financial Domain: Strong understanding of financial business technology, risk management, performance management, or capital markets is highly preferred.

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

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

Job Family Group:

Technology

Job Family:

Applications Development

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.