JP Morgan Chase

Runs a consumer bank and an investment bank

Lead Software Engineer - Analytics Solutions, Tableau/Alteryx

Software EngineeringConfirmed live in the last 24 hours

Full-timeChicago, IL, USA$137.8k - $185kIn-person

About the Job

Requirements

Have formal training or certification in software engineering concepts and at least 8 years of applied experience.
Have expert hands-on Tableau experience, including complex dashboard design, development, troubleshooting, performance tuning, and production support.
Know analytical and business intelligence tools, including Tableau, Qlik Sense, and Grafana.
Have project experience using SQL, Qlik Sense, Tableau, Python, R, and Alteryx or comparable tools.
Have strong knowledge of data warehouses, data modeling, and connections to diverse databases, data types, and data structures.
Have extensive experience designing, consuming, and troubleshooting REST APIs and business intelligence platform integrations.
Have Python experience in analytics, data processing, automation, or business intelligence development, and experience with GitHub Copilot and AI-assisted development integration techniques.
Be able to lead a complex analytics portfolio and backlog, manage competing priorities, and deliver high-priority initiatives with measurable outcomes.
Have experience mentoring developers and partnering with senior leaders, business stakeholders, technology teams, application owners, and data management teams.
Have demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, and setting team expectations for validating AI outputs for correctness, performance, and security.
Have a strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; be able to coach engineers on safe, compliant adoption within delivery practices.

Responsibilities

Lead the design, development, optimization, and maintenance of complex, highly visible Tableau dashboards; guide their architecture, performance, usability, and quality.
Deliver and oversee embedded Tableau dashboards and packaged (.twbx) and unpackaged (.twb) workbooks.
Explore varied datasets for trends, outliers, and relationships, and 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.
Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, including AI-assisted code review and refactoring, test strategy acceleration, and incident/root-cause analysis support; establish validation standards for secure coding, peer review, and automated testing, and promote 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.

Desired Qualifications

Be proficient in all aspects of the Software Development Life Cycle.
Have an advanced understanding of agile methodologies such as continuous integration/continuous delivery, application resiliency, and security.
Have in-depth knowledge of the financial services industry and its IT systems.
Have practical cloud-native experience.

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

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

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

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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