Principal Software Engineer - Business Intelligence Solutions Manager

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As a Principal Software Engineer at JPMorganChase within the Payment Tech you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

Job responsibilities


* Own the vision, roadmap, and delivery of Business Intelligence products serving Engineering, Product, and Portfolio leaders across the organization.


* Facilitate, gather, and synthesize business requirements for multiple projects directly with key stakeholders and end users; translate these into functional and technical specifications, user stories, and acceptance criteria.


* Partner with cross-functional teams (Engineering, Finance, HR, DevOps, Platform Engineering, Data) to deliver integrated data and analytics solutions supporting enterprise-wide operational effectiveness and strategic resource allocation.


* Design, develop, and maintain advanced BI and AI-powered analytics solutions-including dashboards, reports, and self-service analytics-while enforcing standards for data definitions, security, permissions, and performance optimization using tools like Tableau and Power BI.


* Define, standardize, and monitor core metrics and KPIs-including Agile flow and engineering excellence metrics-by establishing and maintaining enterprise-level metrics frameworks for performance measurement and reporting to leadership.


* Orchestrate data ingestion and ETL pipelines from delivery and operations systems (Jira, Azure DevOps, GitHub, CI/CD platforms, incident/change management tools) with strong data quality SLAs and lineage.


* Apply deep analytics and business intelligence skills to extract meaningful insights from large, complex datasets; conduct exploratory data analysis and build business cases to drive prioritization.


* Drive adoption through comprehensive training, documentation, and change management initiatives; establish operating rhythms and governance forums.


* Manage risks, assumptions, issues, and decisions (RAID) and escalate to senior leadership as appropriate.


* Measure outcomes using OKRs and iterate based on usage analytics and stakeholder feedback to continuously improve product value.


* Lead dashboard and self-serve analytics development, enforcing standards for data definitions, row-level security, permissions, and performance optimization.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 7+ years of applied experience in product management or analytics product o...