Lead Software Engineer - Analytics Solutions - Tableau/Alteryx

JPMorgan Chase & Co. • Chicago, IL

22h • $137,750 - $185,000

About The Position

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank, you will contribute to an agile team that builds, enhances, and delivers secure, stable, and scalable technology products. You will provide technical direction across a complex analytics portfolio, mentor developers, and advance a roadmap for trusted data, modern analytics, and continuous engineering improvement. The role involves delivering critical technology solutions across multiple technical areas in support of business objectives, with a focus on Tableau analytics, data integration, operational metrics, and strategic initiatives.

Requirements

• Formal training or certification in software engineering concepts and 8+ years of 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, 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, and 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, including setting expectations for validating AI outputs for correctness, performance, and security.
• 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; experience coaching engineers on safe, compliant adoption.

Nice To Haves

• Proficiency 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 its IT systems.
• Practical cloud-native experience.

Responsibilities

• Lead the design, development, optimization, and maintenance of complex, high-visibility Tableau dashboards, guiding architecture, performance, usability, and quality.
• Deliver and oversee embedded Tableau dashboards and packaged (.twbx) and un-packaged (.twb) workbooks.
• Explore datasets for trends, outliers, and relationships, and build interactive visualizations that enable stakeholders to explore 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 continuous-improvement roadmaps, 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 integration of AI-assisted development techniques in team workflows.
• Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting validation standards for secure coding, peer review, and automated testing and promoting reuse of effective patterns.
• Define, develop, monitor, and report key management metrics showing the health and performance of a global operations program.
• Partner with senior leaders to advance analytics and improve 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.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed