Pay
$94.1K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,018 postings in the last year. Stated ranges, not salaries paid.
Lead Software Engineer - Analytics Solutions - Tableau/Alteryx
Chicago, IL, United States
Live, first seen by us 14 days ago- Pay
- Pay not listedSimilar roles state $94K–$145K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead design, development, and maintenance of complex Tableau dashboards
Deliver and oversee embedded Tableau dashboards and packaged and unpackaged workbooks
Mentor developers through code reviews, standards, and problem-solving
Lead data integration across warehouses, SQL/NoSQL databases, and APIs
Build interactive visualizations that let stakeholders drill into details
From the employer’s posting
Lead design, development, optimization, and maintenance of complex, highly visible Tableau dashboards
Deliver and oversee embedded Tableau dashboards and both packaged (.twbx) and un-packaged (.twb) workbooks.
Mentor developers through technical guidance, design and code reviews, standards, and collaborative problem-solving.
Lead data integration across warehouses, SQL and NoSQL databases, and APIs
build interactive visualizations that let stakeholders drill into details and discover insights
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 27, 202614 days ago
- Recorded sightings
- 26
- Last seen by us
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 14
Similar jobs usually come down between day 5 and day 43.
At JPMorgan Chase, jobs usually come down by about day 15.
From 13,640 similar postings that came down, and 967 of JPMorgan Chase’s. Coming down is not always a hire.
JPMorgan Chase is hiring
366 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 3% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- NoSQL
- Tableau
- Grafana
Where the posting names them
- 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.
- 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.
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.
- 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.
- 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
- 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.
Your next step
Complete your application on jpmc.fa.oraclecloud.com. The employer’s form will show what is required.
Applying through Oracle Recruiting
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- Each employer sets which files it accepts, so read the note beside the upload field.
Already applied? Track this application
About JPMorgan Chase
- People
- About 318,512 in 2025.Annual report (SEC Form 10-K)
- Company
- Listed as JPM.
- Layoff notices
- Notices this year and last cover 152 people. The latest was filed March 23, 2026.State WARN notices
Demand for Analyst roles
New Analyst postings at the employers we follow are up 24% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will provide technical direction across a complex analytics portfolio, strengthen the team through developer mentorship, and advance a roadmap for trusted data, modern analytics, and continuous engineering improvement. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. You will provide technical direction across a complex analytics portfolio, strengthen the team through developer mentorship, and advance a roadmap for trusted data, modern analytics, and continuous engineering improvement. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chicago, IL, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.