AI Analytics Enablement Architect

Next Frontier Capital; Wilmington (DE); On-site; USD 110,000 - 170,000; Full time

Job summary

JPMorganChase is seeking an AI Analytics Enablement Associate to help build governed, scalable AI-driven analytics foundations across our Chase Card Data and Analytics organization. You will translate analyst expertise into reusable assets, collaborate with data owners, and define validation mechanisms to ensure accuracy and reliability.

You will design monitoring and evaluation processes and work with business stakeholders to drive measurable improvements.

Qualifications

• Proficiency in Python for data manipulation, scripting, and automation (e.g., pandas).
• Strong SQL skills, including writing, optimizing, and debugging complex queries.
• Knowledge of software engineering fundamentals, data structures, algorithms, and clean coding practices.
• Working proficiency with Git-based version control and code review workflows.
• Experience writing tests and implementing automated quality checks in CI/CD pipelines.
• 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 data manipulation

SQL proficiency

Git version control

CI/CD pipelines

Data warehouse tooling

Tools

Git

LangChain

Job description

JPMorganChase is seeking an AI Analytics Enablement Associate to help build governed, scalable AI-driven analytics foundations across our Chase Card Data and Analytics organization. You will translate analyst expertise into reusable assets, collaborate with data owners, and define validation mechanisms to ensure accuracy and reliability.

You will design monitoring and evaluation processes and work with business stakeholders to drive measurable improvements.