#210712464
essed primarily on one of two tracks: Business Analyst (Automation Delivery) or Engineer (AI/Automation Build), and you will bring deep strength in the track you select. You will help us digitize processes with strong documentation, testing discipline, and production readiness so we can deliver safely and consistently.
Job responsibilities
Own automation initiatives end to end, including discovery, solution design, build/enablement, testing and user acceptance, release, and stabilization
Partner with Operations and key stakeholders to elicit user requirements, target outcomes, and SLAs; run workshops/interviews to capture current-state and pain points.
Author and maintain a layered requirements stack including user requirements, functional requirements, and technical solution design inputs, and ensure obtain consensus across stakeholders
Define measurable success metrics (for example, time saved, error reduction, service level improvement, control uplift) and track outcomes
Ensure solutions are control-aligned and audit-ready with appropriate documentation including maintaining as-is/to-be process models (BPMN), define control points and exception handling aligned to cutoffs and client SLAs; specify upstream/downstream integrations)
Design for multi-region rollout, reusability, and sustainable adoption by Operations, establishing end-to-end traceability from requirements to epics/stories, tests, and releases; enforce taxonomy, versioning, and change control; define testable acceptance criteria and support UAT/defect triage.
Lead deep-dive process discovery (as-is workflows, inputs/outputs, exception paths, volumes, failure points) aligned to your track
Translate business needs into executable delivery artifacts (requirements or technical design) aligned to your track
Build or enable automation and artificial intelligence solutions using fit-for-purpose approaches with strong safety and testing discipline
Implement robust exception handling, logging, monitoring, and performance considerations for production-grade delivery
Coordinate cross-functional delivery activities and manage dependencies, risks, and decisions to keep delivery on track
Document decisions, controls, testing evidence, and support model to enable stable operations post go-live
Learn and utilize the firm's latest approved AI capabilities; define AI-specific functional requirements (guardrails, evaluation, HITL) and design inputs (inference integration, observability).
Required qualifications, capabilities, and skills:
5 years delivering automation-focused business analysis in financial services or other controls-driven environments
5 years producing clear, implementable requirements (for example, business requirements documents, user stories, acceptance criteria) that engineering teams can execute with minimal ambiguity
3 years embedding operational risk, controls, and audit evidence requirements into solution design and documentation
3 years designing and implementing integrations (for example, services or application programming interfaces) with robust exception handling, logging, and monitoring
3 years of proficiency with JIRA/Confluence, BPMN/UML, API specifications (e.g., OpenAPI)
Strong proven ability to learn enterprise AI platforms and align to firm-wide governance-focused on scaling adoption, not model-building.
A strong ability to partner with stakeholders across Operations and Technology, translating needs into deliverables and decisions
Preferred qualifications, capabilities, and skills:
Experience supporting business-wide AI adoption (playbooks, change management); familiarity with data governance, entitlements, operational resilience, and records management.
Certifications such as CBAP/BCS BA; relevant AI/ML coursework a plus.
Hands-on experience with workflow or robotic process automation platforms
Hands-on scripting experience (for example, Python) to support automation delivery and prototyping
Experience with data analysis or visualization tools (for example, Alteryx, Tableau, or equivalents)
Experience delivering automation at scale across regions or business lines, including training, adoption, and operating model readiness
Experience evaluating artificial intelligence tooling pragmatically, including safety, controls, and testing approach
Experience designing configuration-driven, reusable solutions that handle regional variation with minimal ongoing dependency
coding and engineering experience delivering production-grade automation or artificial intelligence-enabled solutions
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.