Senior AI Analytics Enablement Associate

J.P. Morgan; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase is seeking an AI Analytics Enablement Associate to help build governed, scalable AI-driven analytics across Chase Card Data and Analytics. You will translate analyst expertise into reusable assets, partner with data owners, and design evaluation mechanisms to ensure quality and reliability.

You will contribute to semantic layer governance, reusable analytics libraries, and automated tests within a CI/CD delivery pipeline, while collaborating with business stakeholders to drive

Qualifications

• Proficiency in Python for data manipulation, scripting, and automation.
• Strong SQL skills, including writing, optimizing, and debugging complex queries with joins, aggregations, and window functions.
• Knowledge of software engineering fundamentals, including data structures and clean coding practices.
• Working proficiency with Git-based version control and code review workflows.
• Experience writing tests and implementing automated quality checks in a delivery pipeline (CI/CD).
• Experience building data or analytics tooling in modern data-warehouse environments.
• Ability to define business rules and validation logic and convert them into repeatable, testable mechanisms.
• Ability to partner effectively with data, domain, and analytics stakeholders to define measurable requirements and outcomes.
• Hands-on experience using AI coding assistants (e.g., GitHub Copilot) to accelerate development and testing.

Responsibilities

• Build and maintain version-controlled documentation and reusable analytical patterns from historical queries and analyst knowledge.
• Partner with data owners and domain experts to define and govern a semantic layer with human-approved definitions.
• Create and maintain versioned libraries of reusable skills and procedures, including inputs, outputs, canonical filters, and business rules.
• Define validation checks, edge cases, and performance expectations for reusable analytics capabilities.
• Contribute to standardized reporting and dashboard‑generation tools and shared delivery standards.
• Build and operate benchmark test sets, regression suites, and automated evaluations for analytics quality.
• Define release‑gating thresholds and rollback criteria to support controlled changes and reliable deployment.
• Convert analytics standards into auditable mechanisms such as linting rules, unit tests, and CI/CD quality gates.
• Instrument telemetry and monitoring dashboards to track usage, quality, and reliability over time.
• Support experimentation and measurement for natural‑language analytics interfaces, including accuracy and semantic compliance.
• Translate stakeholder feedback into measurable improvements to platform quality and user outcomes.

Skills

Python

SQL

CI/CD

Data Warehouses

Testing

Automation

Stakeholder Collaboration

AI Tooling

Git Version Control

Tools

Git

Job description

JPMorgan Chase is seeking an AI Analytics Enablement Associate to help build governed, scalable AI-driven analytics across Chase Card Data and Analytics. You will translate analyst expertise into reusable assets, partner with data owners, and design evaluation mechanisms to ensure quality and reliability.

You will contribute to semantic layer governance, reusable analytics libraries, and automated tests within a CI/CD delivery pipeline, while collaborating with business stakeholders to drive