AI Enablement and Agile Coaching

A. Delivery Enablement

• Enable outcome-driven delivery
Coach teams and product partners to focus on measurable outcomes, clear goals, and iterative value delivery-avoiding process for process's sake.
• Remove systemic blockers
Identify and resolve impediments across process, organization, dependencies, tooling, and operating model.
• Facilitate decisive alignment
Lead high-impact planning, prioritization, dependency mapping, and retrospectives with a strong bias toward decisions and action.
• Drive data-informed improvement
Use delivery and flow metrics to surface bottlenecks and anti-patterns, translating insights into practical improvement plans.
• Influence through transparency
Communicate risks, progress, and systemic themes to leadership; influence without authority through evidence, narrative, and trust.
• Contribute to standards and playbooks
Identify patterns and codify lightweight guidance that improves consistency while respecting context., Design, test, and refine prompts and system instructions that reliably support delivery and operational use cases (e.g., summarisation, drafting, extraction, Q&A, planning).
• Prototype lightweight agents
Build targeted, fit-for-purpose agents that streamline repetitive work and improve responsiveness (e.g., intake triage, status synthesis, decision logs, release notes) using enterprise guardrails.
• Basic tool-using agents
Configure agents to safely use approved tools and connectors, following governed tool-calling patterns.
• Governance by design
Ensure agent prototypes align with enterprise expectations as they mature-registration, lifecycle management, and appropriate risk and control checkpoints.
• Quality and evaluation
Establish lightweight testing practices (accuracy checks, hallucination controls, traceability) before broader adoption.
• Upskill and enable others
Coach teams and partners on prompt quality, limitations, and responsible use, including human-in-the-loop practices and bias awareness.


• 8+ years in delivery enablement, agile delivery, product operations, program execution, or equivalent experience coaching teams in complex environments.
• Pragmatic experience across delivery approaches (e.g., Scrum, Kanban, XP-informed practices, scaling patterns).
• Strong stakeholder leadership: facilitation, influencing, executive communication, and comfort with ambiguity.
• Proven use of metrics and evidence to drive improvement (flow, predictability, quality, and/or operational KPIs).
• Foundational GenAI fluency: understands LLM strengths and limits; able to craft prompts and prototype simple agent workflows.
• Comfortable partnering with engineers and conversant in modern engineering practices (CI/CD, testing, APIs, cloud concepts)., Formal training or certifications in coaching, agile, or change leadership.
• Experience building proof-of-concepts using low-code/no-code tools or lightweight scripting; basic Python or JSON helpful but not required.
• Familiarity with enterprise agent concepts, including governance, guardrails, traceability, and secure tool access patterns
  
  J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.