Lead Software Engineer - Tableau

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate Sector's AIML and Data platform team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems Builds visualizations that take complex information and make it more accessible, understandable, and usable to derive insights and enable better business decisions Explores large data sets in Snowflake database, perform analyses, and identify unique storytelling opportunities. Creates effective Tableau designs to help describe the business value of solutions to stakeholders Participates in project status and stand up meetings, and assists with providing project status for project and program managers Implements modern data visualization methodologies and maintains an up-to-date knowledge of data visualization strategies Imports, transforms, and analyzes large data sets from disparate data sources Collaborates with data engineers in ingesting and warehousing data to support data models Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Expertise in the design, development, implementation, and maintenance of Tableau dashboards and reports. Proficient in best practices around visualization and storytelling with data. Experience with requirements gathering and client interactions. Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Ability to understand and work with disparate data sources. Practical cloud native experience In-depth knowledge of the financial services industry and their IT systems Self-starter, team-player and will be expected to manage and complete their tasks in a fast-paced results driven environment Preferred qualifications, capabilities, and skills Data Warehousing and Data Lake experience Experience in aggregating and transforming data for optimized reporting Proficiency in SQL queries and working with SQL databases, including the development and optimization of procedures and views to enhance data management and retrieval processes Familiarity and experience working with Tableau Agent and Tableau Pulse