JPMorganChase · 20 hours ago
Lead Software Engineer - Global Technology Analytics, Insights and Metrics
8181 Communications Pkwy Bldg F, Plano, TX, 75024, US
Full-time
Onsite
Senior Level, Lead/Staff
3+ years expJPMorganChase is one of the oldest financial institutions, offering innovative financial solutions. As a Lead Software Engineer within the Global Technology - Analytics, Insights and Measurements team, you will deliver trusted insights through rigorous statistical analysis and contribute to the development of market-leading technology products.
Asset ManagementBankingFinancial Services
Responsibilities
Define, create, deliver, establish and maintain a metrics framework and complementary visuals aligned to CTO and technology leadership decision needs. Your framework will be inclusive of many different technology initiatives, including emerging capabilities such as Artificial Intelligence (AI), Software Engineering, Portfolio Management and more
Build strong relationships across various GT functions. Communicate statistical findings effectively to technical and non-technical audiences without oversimplification or false precision. Narratives and analyses need to be clear. They need to articulate what is happening, why it is happening, and how confident the conclusions are
Work closely to JPMC key strategic programs and initiatives, while providing continuous analysis & insights to support their priority outcomes, all with sound statistical measures. Your insights must explain performance, trends, variability, and drivers across all of GT
Continuously refine analytical approaches as technology strategy, architecture, and delivery practices evolve. Support technology leadership in understanding trade-offs, risks, opportunities, and uncertainty
Conclusions provided must be sound, statistically and contextually valid and based on actual engineering and business ecosystems. Collaborate closely with engineering, platform, architecture, and AI enablement teams to understand delivery practices, workflows and constraints
Perform hands-on statistical analysis using appropriate descriptive, inferential, and exploratory techniques. Apply those techniques and reasoning to assess variability, confidence, uncertainty, statistical significance, and margin of error where appropriate
Evaluate distributions, trends, and changes over time while accounting for structural differences in teams, systems, and delivery models. Be able to distinguish correlation from causation and clearly communicate analytical limitations, assumptions, and confidence levels
Identify required data points needed to answer key analytical and statistical questions, then define requirements for instrumenting data at the source
Ensure metrics are compatible with different engineering flows, including feature branch development, trunk-based development, and integrated delivery
Improve data quality, consistency, and traceability over time. Maintain clear documentation of metric definitions, statistical methods, and calculation logic
Ensure reporting supports informed decision-making rather than metric consumption without context
Qualification
Required
Degree in Mathematics, Statistics, Data Science, Engineering, Computer Science or equivalent 3+ years applicable work experience
3+ years experience performing statistical analytics, data science, or performance measurement roles
Practical experience working with technology, delivery, portfolio, financial, or AI-related data
Demonstrated experience applying statistical methods to real-world, imperfect datasets and evolving delivery practices
Strong familiarity with concepts such as statistical significance, confidence intervals, variability, and margin of error, and when their use is appropriate
Proficiencies in a modern data stack. This includes Excel, Python, R Studio, Power BI, Tableau, Qlik, SQL, Python, dbt, Databricks, Snowflake, and Microsoft Fabric, alongside specialized portfolio and spend analytics tools like Apptio
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred
Desire and ability to mentor peers through statistical expertise and engineering domain knowledge
Strong formal training in statistics
Intellectual curiosity and commitment to statistical rigor
Respect for the complexity and variability of software delivery systems within a large enterprise
Practical cloud native experience
Proficient in all aspects of the Software Development Life Cycle
Proficiency in automation and continuous delivery methods (CI/CD pipelines)
Practical understanding of software engineering delivery models, including but not limited to feature branch, trunk-based, and integrated delivery
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
10001+ employees
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3471)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Allison Beer
CEO of Card Services and Connected Commerce
Dan Mendelson
CEO, Morgan Health
Recent News
2026-01-22
Private Banker International
2026-01-19
Company data provided by crunchbase