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Salesforce CRMA Tableau Sr Lead Software Engineer

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-09-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Data Engineering
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Sr Lead Software Engineer at JPMorgan

Chase within Consumer and Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities
  • Executes end-to-end software and analytics solutions—including design, development, and technical troubleshooting for Salesforce CRM Analytics (CRMA/Tableau CRM) and Tableau, with the ability to think beyond routine approaches to build scalable, data-driven solutions and break down complex technical problems.
  • Designs and develops secure, high-quality production code, data pipelines, and analytics assets (dashboards, lenses, datasets, recipes) that integrate seamlessly with Salesforce and related systems.
  • Produces architecture and design artifacts for complex analytics and AI-driven applications, ensuring that design constraints (performance, security, scalability, governance) are met by software and analytics development.
  • Gathers, analyzes, synthesizes, and develops advanced visualizations, dashboards, and reporting from large, diverse data sets using CRMA/Tableau in service of continuous improvement of business processes, customer insights, and system performance.
  • Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Partners with product owners, data engineers, and business stakeholders to translate business requirements into robust analytics solutions, including KPIs, data models, and AI-driven recommendations.
  • Proactively identifies hidden problems and patterns in data, dashboards, and integrations, and drives remediation and optimization across data quality, performance, and user experience.
  • Contributes to software engineering and analytics communities of practice, sharing best practices in CRMA/Tableau, data modeling, AI/ML integration, and emerging Salesforce technologies.
  • Mentors junior developers and analysts, providing technical guidance on CRMA/Tableau, Salesforce development, and AI-enabled analytics solutions. Adds to team culture of diversity, equity, inclusion, and respect, fostering a collaborative and learning-focused environment.
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience of Salesforce development and/or analytics experience, including significant hands-on work with Salesforce CRM Analytics (CRMA/Tableau CRM) and/or Tableau.
  • Strong hands-on experience designing, building, and optimizing CRMA/Tableau dashboards, datasets, dataflows/recipes, and security predicates in a large corporate environment.
  • In-depth knowledge of Salesforce data model (Sales Cloud, Service Cloud, custom objects) and how to design analytics-ready data structures and transformations.
  • Strong proficiency in Apex, SOQL, and Salesforce configuration to support analytics use…
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