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 ownership
• Bachelor’s degree in management information systems, Computer Science, Computer Engineering, Mathematics, or a related technical field
• Hands-on practical experience delivering system design, application development, testing, and operational stability for Business Intelligence and analytics platforms
• Expert-level proficiency in SQL and data modeling techniques including star schema, Kimball methodology, and dimensional modeling
• Advanced knowledge of at least one major BI platform such as Power BI (DAX, Power Query, dataflows, model optimization) or Tableau (LOD expressions, Tableau Prep, performance tuning)
• Experience applying expertise in ETL/ELT patterns and partnering with data engineering teams on pipeline development and API/webhook integrations
• Practical understanding of Agile and flow metrics and their production from delivery systems such as Jira or Azure DevOps
• Experience connecting to and extracting data from engineering toolchains including Jira, Azure DevOps, Git repositories, CI/CD platforms, and incident/change management systems
• Ability to present and effectively communicate with Senior Leaders and Executives across Product, Engineering, and Program/Portfolio functions
• Understanding of software engineering business operations and how analytics drive decision-making and continuous improvement
• Practical cloud native experience with modern data platforms and analytics infrastructure

Preferred qualifications, capabilities, and skills

• Experience in payments or financial services technology environments
• Knowledge of DORA metrics implementation, SDLC quality metrics frameworks, and portfolio governance reporting standards
• Experience with cloud data platforms such as Snowflake, BigQuery, Redshift, Azure Synapse, or lakehouse technologies
• Data governance and lineage experience including metadata management, data definitions, lineage tracking, and access controls
• Familiarity with CI/CD practices for analytics and environment promotion workflows for BI assets
• Proficiency in scripting languages such as Python for data manipulation and automation
• 4 years of specialized experience building BI and analytics solutions specifically for software engineering or technology operations teams

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries.