JPMorgan Chase
Lead Software Engineer - Analytics Solutions - Tableau/Alteryx
$138K–$185K
Chicago, IL · Full-time · Posted Oct 27, 2026
- Experience
- 8+ years applied experience.
- Education
- Formal training or certification on software engineering concepts.
About the job
Leads a software engineering team and analytics portfolio, building trusted Tableau solutions and advancing data integration, operational analytics, and AI-assisted engineering practices.
What you'll do
- Lead the design, development, optimization, and production support of Tableau dashboards and workbooks; mentor developers and guide technical standards.
- Lead data integration and automation across warehouses, databases, and APIs, and develop analytics and management metrics for operational improvement.
- Set delivery plans for strategic initiatives and promote validated, secure use of AI-assisted engineering tools across team workflows.
What they ask for
- Formal training or certification in software engineering concepts and 8+ years of applied experience.
- Expert hands-on Tableau experience, including complex dashboard development, troubleshooting, performance tuning, and production support.
- Project experience using SQL, Qlik Sense, Tableau, Python, R, and Alteryx or comparable tools; strong data warehouse, data modeling, and REST API knowledge.
- Experience leading analytics portfolios and initiatives, mentoring developers, partnering with stakeholders, and safely validating AI-assisted development outputs.
Nice to have
- Proficient in all aspects of the Software Development Life Cycle; advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Financial services industry and IT systems knowledge; practical cloud native experience.
Pay
USD $137,750.00-$185,000.00 base salary
Tools
Tableau, Qlik Sense, Grafana, SQL, Python, R, Alteryx, GitHub Copilot
AI focus
Leads team adoption of enterprise-authorized AI-assisted engineering for coding, review, testing, troubleshooting, and incident analysis, with validation for correctness, performance, security, and responsible handling of sensitive data.
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