At a Glance
- Tasks: Coach teams to deliver measurable outcomes and design GenAI agents for productivity.
- Company: Join a forward-thinking company focused on AI transformation and agile coaching.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a commitment to employee well-being.
- Why this job: Make a real impact by driving innovation and improving decision-making with AI.
- Qualifications: 8+ years in agile delivery and strong stakeholder leadership skills required.
The predicted salary is between 70000 - 90000 ÂŁ per year.
Join us as a Transformation AI Enablement Lead, where you’ll coach outcome‑driven delivery, remove systemic blockers, and design safe, pragmatic GenAI agents that improve productivity, decision quality, and transparency.
Key Responsibilities
- Delivery Enablement – 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.
Foundational focus: rapid, practical agents—not deep R&D.
GenAI Accelerator Enablement
- Prompt engineering for outcomes – 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.
Required Qualifications, Capabilities, And Skills
- 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).
Preferred Qualifications
- 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.
Equal Opportunity Statement
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.
AI Enablement and Agile Coaching employer: JPMorganChase
Contact Detail:
JPMorganChase Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enablement and Agile Coaching
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, attend meetups, and connect on LinkedIn. The more people you know, the better your chances of hearing about job openings before they even hit the market.
✨Tip Number 2
Nail that interview prep! Research the company, understand their values, and be ready to discuss how your experience aligns with their goals. Practise common interview questions and have your own questions ready to show you're genuinely interested.
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, use the STAR method (Situation, Task, Action, Result) to clearly demonstrate how you've tackled challenges and delivered results in previous roles.
✨Tip Number 4
Don’t forget to follow up! After an interview, send a thank-you email to express your appreciation for the opportunity. It’s a great way to reinforce your interest and keep you top of mind for the hiring team.
We think you need these skills to ace AI Enablement and Agile Coaching
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in delivery enablement and agile coaching. We want to see how your skills align with the key responsibilities mentioned in the job description.
Showcase Your Achievements: When detailing your past roles, focus on measurable outcomes and specific examples of how you've removed blockers or improved processes. We love seeing evidence of your impact!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to communicate your ideas and experiences, as this reflects the transparency we value at StudySmarter.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role!
How to prepare for a job interview at JPMorganChase
✨Know Your Stuff
Make sure you brush up on your knowledge of GenAI and agile methodologies. Be ready to discuss how you've coached teams in the past, focusing on measurable outcomes and iterative delivery. This will show that you understand the role and can hit the ground running.
✨Prepare for Scenario Questions
Expect to be asked about specific situations where you've removed blockers or facilitated alignment. Think of examples from your experience that highlight your problem-solving skills and ability to influence without authority. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Showcase Your Metrics Savvy
Be prepared to talk about how you've used metrics to drive improvements in previous roles. Highlight any experience with flow metrics or operational KPIs, and be ready to discuss how you translated insights into practical plans. This will demonstrate your data-informed approach to coaching.
✨Communicate Clearly and Confidently
Since this role involves a lot of stakeholder communication, practice articulating your thoughts clearly. Be concise and confident when discussing risks, progress, and themes. Remember, it's not just about what you say, but how you say it—show that you can engage and influence others effectively.