Application Development Lead (Bigdata & Analytics) - Vice President

Key Responsibilities 1. 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. 2. Cloud Transformation & Data Engineering - 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. 3. 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. 4. 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. Technical Expertise 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. Communication & Domain Knowledge - 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. Education: - 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.