Senior Learning Specialist/Trainer (Agile and Lean)

About The Role

• Deliver across the Agile and Lean portfolio in classroom, virtual and blended formats, from foundation audiences new to Agile and Lean through to experienced practitioners, coaches and leaders.
• Run experiential, hands-on sessions built around simulations, workshops, real data and live problem-solving, so learners leave able to apply the practice and not just recite it.
• Adapt your pitch and pace to mixed audiences and experience levels, holding a clear line on principles while staying flexible on the path.
• Support certification and apprenticeship cohorts across Agile and Lean Six Sigma pathways, including assessment readiness where applicable.

• Teach Lean and Lean Six Sigma with genuine depth, including Lean principles and the elimination of waste, value stream mapping, DMAIC, and the belt progression from Yellow through Green to Black Belt.
• Bring the data discipline that sets Six Sigma apart: process mapping, root cause analysis, statistical process control, capability and variation analysis, and evidence-based improvement that learners can run on their own processes.
• Connect continuous improvement to outcomes, teaching Kaizen, flow and value measurement rather than improvement for its own sake.

• Teach the foundations cleanly: the Agile values and principles, when to use Agile rather than Waterfall, the Scrum framework of roles, events and artefacts, Kanban basics of visualising work, WIP limits and pull, user stories and acceptance criteria, backlog refinement, relative estimation, and the facilitation of core ceremonies.
• Develop intermediate practice: tailoring Scrum, Kanban and Scrumban to context, flow metrics including lead time, cycle time, throughput and WIP, prioritisation techniques such as WSJF, MoSCoW and RICE, roadmapping, and outcomes over outputs through OKRs and KPIs.
• Cover scaling with authority, including awareness of SAFe, LeSS and Nexus, PI and big-room planning facilitation at department or organisation level, the design and launch of Agile Release Trains and value streams, and Lean Portfolio Management.

• Model current, working AI practice across the ladder, from everyday use up to building and governing tools, because this is where credibility is won or lost.
• Use AI fluently for day-to-day delivery support such as drafting and summarising, and to augment delivery by analysing flow data and designing scenarios, including augmented test scenario design.
• Orchestrate AI live in delivery and facilitation, synthesising in real time, and critically evaluate and govern AI outputs in client contexts so adoption stays responsible.
• Identify opportunities to integrate AI into ways of working, use vibe coding to build working prototypes and tools, and build reusable AI agents that scale your delivery and coaching impact.
• Help define responsible-AI standards and governance for the practice, treating ethics and governance as a first-class topic rather than a footnote.

• Relevant certifications, for example Lean Six Sigma Black Belt, SAFe (SPC or RTE), Professional Scrum (PSM, PSK), ICAgile, or recognised Kanban credentials.
• Genuine, current AI fluency that is practical rather than theoretical. You use AI across delivery, you have built tools or agents, you understand vibe coding, and you can govern AI outputs responsibly in a client context.
• Deep, hands-on Lean and Lean Six Sigma expertise, with the rigour to teach process improvement and data-driven methods, ideally to Black Belt level.
• Strong Agile delivery experience across Scrum and Kanban, comfortable from foundations through to scaled, multi-team environments.
• Proven training, teaching or facilitation experience with adult and professional learners, and the ability to run experiential, hands-on sessions rather than lecture.
• Credibility delivering coaching and advisory for clients, including team and leadership coaching, workshop design, health checks and transformation advisory, and not only teaching open courses.
• Strong grasp of flow and value metrics, prioritisation and forecasting, and the tooling learners and clients use, including Jira, Miro and DevOps.
• Excellent facilitation, influencing and stakeholder skills, able to read a room, work with resistance and influence without formal authority.

• Experience at the pioneering end of the ladder, such as shaping enterprise transformation strategy, designing operating models across portfolios, and blending scaling approaches to context.
• Experience designing novel facilitation or coaching formats and creating reusable IP adopted across a firm.
• Probabilistic forecasting and risk modelling, including Monte Carlo methods.
• A track record of thought leadership through publishing, speaking or external recognition.

• 27 days Annual Leave (4 days used for the festive closure) plus Bank Holidays
• Holiday Buying scheme
• Medicash plan, Wellhub, Cycle to Work scheme
• Private Medical Insurance at corporate rates
• Employee Assistance Programme
• Employee Discounts Benefit Hub
• 3 Development days
• 2 Charity days per year
• Pension Scheme
• Early Friday Finish at 4pm