Lead Software Engineer - AI & Data Visualization

JPMorgan Chase & Co.

Jersey City (NJ)

On-site

USD 157,000 - 215,000

Full time

14 days+
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Job summary

JPMorganChase & Co. in Jersey City, NJ is seeking a Lead Software Engineer to join the AIML and Data platform team. You will contribute to a secure, scalable technology stack and deliver trusted market-leading products.

You will build visualizations, explore Snowflake data, and create Tableau designs to communicate business value. A strong focus on AI-assisted engineering practices and responsible AI is required.

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.

Skills

Tableau
Data visualization
Snowflake
SQL
AI-assisted
Cloud native
Requirements
Leadership
Security
Data warehousing

Tools

Tableau Agent
Tableau Pulse
Snowflake
Tableau

Job description

JPMorganChase & Co. in Jersey City, NJ is seeking a Lead Software Engineer to join the AIML and Data platform team. You will contribute to a secure, scalable technology stack and deliver trusted market-leading products.

You will build visualizations, explore Snowflake data, and create Tableau designs to communicate business value. A strong focus on AI-assisted engineering practices and responsible AI is required.

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