Lead Software Engineer — AI‑Driven Data Viz & Tableau Expert

JPMorganChase

Jersey City (NJ)

On-site

USD 140,000 - 190,000

Full time

42 hours ago

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Job summary

JPMorganChase is seeking a Lead Software Engineer within the Corporate Sector's AIML and Data platform team in Jersey City. You will be a core technical contributor, building trusted, scalable tech products while ensuring security and reliability across data-heavy solutions.

You will lead the design, development, and deployment of Tableau dashboards and data stories, explore large Snowflake datasets, and drive adoption of enterprise AI-assisted engineering practices to improve code quality and

Qualifications

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

Responsibilities

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.