Lead Software Engineer - Analytics Solutions - Tableau/Alteryx

JPMorganChase; Chicago (IL); On-site; USD 138,000 - 185,000; Full time

Job summary

JPMorganChase in Chicago, IL is seeking a Lead Software Engineer for Analytics Solutions focused on Tableau/Alteryx. You will lead design and development of highly visible dashboards and analytical workflows across data sources, driving performance and usability.

You will mentor developers, partner with data management and technology teams on modern analytics, cloud adoption, and AI-assisted tooling, and define metrics to measure health and impact of analytics initiatives.

Qualifications

• Formal training or certification on software engineering concepts and 8+ years applied experience.
• Expert hands-on Tableau experience, including complex dashboard design, development, troubleshooting, performance tuning, and production support.
• Knowledge of analytical and BI tools, including Tableau and Qlik Sense and Grafana
• Project experience using SQL, Qlik Sense, Tableau, Python, R, and Alteryx or comparable tools.
• Strong knowledge of data warehouses, data modeling, and connections to diverse databases, data types, and data structures.
• Extensive API experience, including designing, consuming, and troubleshooting REST APIs and BI platform integrations.
• Python experience in analytics, data processing, automation, or BI development; experience with GitHub Copilot and AI‑assisted development integration techniques.
• Ability to lead a complex analytics portfolio and backlog, manage competing priorities, and deliver high‑priority initiatives with measurable outcomes.
• Experience mentoring developers and partnering with senior leaders, business stakeholders, technology teams, application owners, and data management teams.
• 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.

Responsibilities

• Lead design, development, optimization, and maintenance of complex, highly visible Tableau dashboards; guide architecture, performance, usability, and quality.
• Deliver and oversee embedded Tableau dashboards and both packaged (.twbx) and un-packaged (.twb) workbooks.
• Explore varied datasets for trends, outliers, and relationships; build interactive visualizations that let stakeholders drill into details and discover insights.
• Mentor developers through technical guidance, design and code reviews, standards, and collaborative problem‑solving.
• Partner with technology teams, application owners, and data management teams on a continuous‑improvement roadmap, including advanced analytics and cloud adoption.
• Lead data integration across warehouses, SQL and NoSQL databases, and APIs; use Python and automation to improve reliability and delivery.
• Promote effective GitHub Copilot use and practical AI‑assisted development integration techniques within team workflows.
• 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.
• Define, develop, monitor, and report key management metrics that show the health and performance of a global operations program.
• Partner with senior leaders to advance analytics and deliver improvements in operational efficiency, cost modeling, capacity planning, quality, and related areas.
• Define, design, and manage high‑priority strategic initiatives with senior‑level visibility, clear outcomes, governance, milestones, and delivery plans.

Skills

Tableau expert

Qlik Sense

Grafana

Python

R

Alteryx

SQL

APIs (REST)

GitHub Copilot

AI-assisted development

Mentoring

Education

Formal training in software engineering

Tools

Tableau

Qlik Sense

Grafana

SQL

Python

R

Alteryx

Job description

Lead Software Engineer - Analytics Solutions - Tableau/Alteryx

Chicago, IL, United States

Job Information

Job Identification 210801601

Job Category Software Engineering

Business Unit Commercial & Investment Bank

Posting Date 10/27/2026, 02:47 PM

Locations 131 S Dearborn St, Chicago, IL, 60603, US

Job Schedule Full time

Job Shift Day

Base Pay/Salary Chicago,IL $137,750.00-$185,000.00

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job responsibilities

• Lead design, development, optimization, and maintenance of complex, highly visible Tableau dashboards; guide architecture, performance, usability, and quality.
• Deliver and oversee embedded Tableau dashboards and both packaged (.twbx) and un-packaged (.twb) workbooks.
• Explore varied datasets for trends, outliers, and relationships; build interactive visualizations that let stakeholders drill into details and discover insights.
• Mentor developers through technical guidance, design and code reviews, standards, and collaborative problem‑solving.
• Partner with technology teams, application owners, and data management teams on a continuous‑improvement roadmap, including advanced analytics and cloud adoption.
• Lead data integration across warehouses, SQL and NoSQL databases, and APIs; use Python and automation to improve reliability and delivery.
• Promote effective GitHub Copilot use and practical AI‑assisted development integration techniques within team workflows.
• 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.
• Define, develop, monitor, and report key management metrics that show the health and performance of a global operations program.
• Partner with senior leaders to advance analytics and deliver improvements in operational efficiency, cost modeling, capacity planning, quality, and related areas.
• Define, design, and manage high‑priority strategic initiatives with senior‑level visibility, clear outcomes, governance, milestones, and delivery plans.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 8+ years applied experience
• Expert hands‑on Tableau experience, including complex dashboard design, development, troubleshooting, performance tuning, and production support.
• Knowledge of analytical and BI tools, including Tableau and Qlik Sense and Grafana
• Project experience using SQL, Qlik Sense, Tableau, Python, R, and Alteryx or comparable tools.
• Strong knowledge of data warehouses, data modeling, and connections to diverse databases, data types, and data structures.
• Extensive API experience, including designing, consuming, and troubleshooting REST APIs and BI platform integrations.
• Python experience in analytics, data processing, automation, or BI development; experience with GitHub Copilot and AI‑assisted development integration techniques.
• Ability to lead a complex analytics portfolio and backlog, manage competing priorities, and deliver high‑priority initiatives with measurable outcomes.
• Experience mentoring developers and partnering with senior leaders, business stakeholders, technology teams, application owners, and data management teams.
• 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

Preferred qualifications, capabilities, and skills

• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In‑depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience