Application Development Lead (Bigdata & Analytics) - Vice President

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Application Development Lead (Bigdata & Analytics) - Vice President

lead · Technology / Software Development

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Job Overview

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.

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