Bulge Bracket Investment Banks

Posted 13 days ago

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**AI Enablement & Agile Coaching (London)** leads delivery enablement and GenAI agent design. Key responsibilities include coaching outcome-driven delivery, removing systemic blockers, facilitating decisive alignment, and driving data-informed improvement. Prototype lightweight GenAI agents, design prompts for practical use cases, and ensure governance by design. Requires 8+ years in delivery enablement, agile delivery, or equivalent experience, with foundational GenAI fluency and comfort with modern engineering practices. Influence without authority, coach teams, and upskill others on responsible GenAI use.

Compensation: Not specified GBP
City: London
Country: United Kingdom

Full Job Description

Location: LONDON, United Kingdom

Join us as a Transformation AI Enablement Lead, where youll coach outcomedriven delivery, remove systemic blockers, and design safe, pragmatic GenAI agents that improve productivity, decision quality, and transparency.

Key Responsibilities

A. Delivery Enablement

Enable outcomedriven delivery
Coach teams and product partners to focus on measurable outcomes, clear goals, and iterative value deliveryavoiding process for processs sake.
Remove systemic blockers
Identify and resolve impediments across process, organization, dependencies, tooling, and operating model.
Facilitate decisive alignment
Lead highimpact planning, prioritization, dependency mapping, and retrospectives with a strong bias toward decisions and action.
Drive datainformed improvement
Use delivery and flow metrics to surface bottlenecks and antipatterns, 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.

B. GenAI Accelerator Enablement

(Foundational focus: rapid, practical agentsnot deep R&D)

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, fitforpurpose agents that streamline repetitive work and improve responsiveness (e.g., intake triage, status synthesis, decision logs, release notes) using enterprise guardrails.
Basic toolusing agents
Configure agents to safely use approved tools and connectors, following governed toolcalling patterns.
Governance by design
Ensure agent prototypes align with enterprise expectations as they matureregistration, 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 humanintheloop 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, XPinformed 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 proofofconcepts using lowcode/nocode 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

Transformation AI Enablement Lead, coaching outcomedriven delivery, remove systemic blockers, and design safe, pragmatic GenAI agents that improve productivity, decision quality, and transparency.

Full Job Description

Location: LONDON, United Kingdom

Key Responsibilities

A. Delivery Enablement

Enable outcomedriven delivery
Coach teams and product partners to focus on measurable outcomes, clear goals, and iterative value deliveryavoiding process for processs sake.
Remove systemic blockers
Identify and resolve impediments across process, organization, dependencies, tooling, and operating model.
Facilitate decisive alignment
Lead highimpact planning, prioritization, dependency mapping, and retrospectives with a strong bias toward decisions and action.
Drive datainformed improvement
Use delivery and flow metrics to surface bottlenecks and antipatterns, 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.

B. GenAI Accelerator Enablement

(Foundational focus: rapid, practical agentsnot deep R&D)

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, fitforpurpose agents that streamline repetitive work and improve responsiveness (e.g., intake triage, status synthesis, decision logs, release notes) using enterprise guardrails.
Basic toolusing agents
Configure agents to safely use approved tools and connectors, following governed toolcalling patterns.
Governance by design
Ensure agent prototypes align with enterprise expectations as they matureregistration, 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 humanintheloop 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, XPinformed 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 proofofconcepts using lowcode/nocode 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

Transformation AI Enablement Lead, coaching outcomedriven delivery, remove systemic blockers, and design safe, pragmatic GenAI agents that improve productivity, decision quality, and transparency.

AI Enablement and Agile Coaching

Full Job Description

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