AI Enablement and Agile Coaching

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