Agile Delivery Coordinator

Requirements

Experience:

• 3+ years of experience as a Scrum Master, Project Manager, or Delivery Manager in a software development environment
• Good knowledge of Agile frameworks and the ability to apply them in practice, not just in theory
• Experience facilitating team processes: planning, retrospectives, stakeholder communication, risk management
• Ability to understand client business needs and keep the team focused on delivering value

Communication & Leadership:

• Strong communication skills, both written and spoken – Upper Intermediate English minimum
• Comfortable being the primary contact for client-side stakeholders
• Able to lead without authority and maintain team cohesion in challenging situations

AI Fluency:

We are not expecting you to be an AI specialist. What we are looking for is someone who has already started using AI tools in their work and is genuinely interested in going further.

• You actively use LLM-based tools (such as ChatGPT, Claude, Copilot, or similar) for day-to-day tasks – drafting, analysis, meeting prep, reporting. The specific tool does not matter; what matters is that you use one
• You have a basic understanding of how AI is being applied across the software development lifecycle – coding assistance, testing, planning, documentation

Responsibilities

Delivery:

• Ensure there is a clear understanding of client expectations around delivery scope and timelines
• Make sure there is the right environment for the team to succeed – scope-, process-, tools- and skills-wise
• Visualise team progress and keep relevant people in sync with forecasted delivery timelines and any changes
• Remove obstacles and blockers
• Establish a clear process around priorities to make sure the team is consistently delivering value
• Use delivery metrics across the SDLC for decision making, progress visualisation, and stakeholder communication

Collaboration & Stakeholder Management:

• Act as the primary contact point for client-side stakeholders
• Facilitate constant inspection and improvement of ways of working
• Ensure collaboration within the team and all involved parties
• Help teams to self-organise and increase transparency and trust

AI Integration:

• Participate in AI maturity assessments for delivery teams – evaluate how effectively teams are using AI tools across the SDLC and identify areas for improvement
• Support AI adoption efforts on your projects and help teams develop their AI competency over time
• Use AI tools in your own delivery work: reporting, analysis, stakeholder communication preparation