Transformation Coach (AI & Agile)

Helprise is an organization that combines global reach with local talent. It works for companies that value quality, partnership, and responsibility, creating teams that match skills precisely with business needs to connect specialists with impactful projects.

• Proven experience leading Agile transformation initiatives in complex enterprise environments
• Hands-on experience driving AI adoption within product development or technology organizations
• Strong knowledge of Agile methodologies and Agile at Scale frameworks
• Experience coaching cross-functional teams, Product Owners, stakeholders, and leaders
• Practical experience using AI-powered tools such as GitHub Copilot, ChatGPT, Azure AI, or similar
• Experience applying AI to software delivery processes including code generation, automated testing, documentation generation, backlog refinement, and knowledge management
• Understanding of AI integration within engineering environments including CI/CD, DevOps, testing frameworks, and monitoring solutions
• Strong understanding of prompt engineering and effective AI usage practices
• Knowledge of AI governance, security, compliance, privacy, and responsible AI principles
• Experience facilitating workshops, training sessions, and organizational change initiatives
• Strong analytical mindset with experience leveraging KPIs and delivery metrics to drive improvements
• Advanced knowledge of Jira and Confluence
• Excellent communication skills in English (C1+)

Nice to Have:

• SAFe Program Consultant (SPC) certification
• Lean Six Sigma certification
• Degree in Information Technology, Computer Science, Engineering, or related field
• Experience in large-scale product organizations undergoing digital or AI transformation

• Drive Agile and AI transformation initiatives across Product Teams and Agile Release Trains (ARTs)
• Coach teams, Product Owners, and leaders on Agile principles, Product mindset, and AI-enabled ways of working
• Support the adoption of AI tools and capabilities in delivery activities including planning, development, testing, and operations
• Facilitate workshops, training sessions, and learning initiatives related to Agile, Product Management, AI literacy, and prompt engineering
• Help teams identify and implement AI use cases that improve productivity, quality, and delivery outcomes
• Contribute to the evolution of the organization's operating model, frameworks, standards, and ways of working
• Promote experimentation, continuous improvement, and data-driven decision making
• Establish and monitor Agile and AI adoption metrics, identifying opportunities for optimization
• Partner with leadership to align transformation activities with business objectives
• Support Communities of Practice and knowledge-sharing initiatives
• Promote responsible AI practices, governance, compliance, and ethical AI usage