hackajob · 5 hours ago
Principle Software Engineer - Global Technology Analytics, Insights and Metrics
Columbus, OH
Full-time
Onsite
Senior Level, Lead/Staff
$120K/yr - $170K/yr
5+ years exphackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Principle Software Engineer at JPMorganChase within the Global Technology - Analytics, Insights and Measurements (GT AIM) team, you will deliver trusted, decision-grade insight across GT through rigorous statistical analysis and domain-informed interpretation.
Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware
Responsibilities
Define, create, deliver, establish and maintain a metrics framework and complementary visuals aligned to CTO and technology leadership decision needs
Build strong relationships across various GT functions
Communicate statistical findings effectively to technical and non-technical audiences without oversimplification or false precision
Work closely to JPMC key strategic programs and initiatives, while providing continuous analysis & insights to support their priority outcomes, all with sound statistical measures
Lead, coach and develop a small team of highly skilled, impactful analytics professionals
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
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 5+ 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.)
Experience influencing senior technology leaders and guiding decision-making
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
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
Experience leading or mentoring analytics professionals
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
hackajob
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$33MKey Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M
Leadership Team
Mark Chaffey
CEO
Phil Kell
VP - Marketplace
Recent News
2025-10-23
2025-09-26
2025-09-12
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