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Agile Coach

The Agile Coach guides cross-functional teams in adopting and implementing Agile methodologies and best practices for AI-powered and digital fintech solutions. This role focuses on team-level coaching, training, and process improvement, assessing team maturity, facilitating adoption of agile practices, and empowering teams to deliver value effectively in a fastpaced environment.

The difference you will make:

  • Provide training and coaching to teams and individuals on Agile principles and practices (e.g., Scrum, Kanban).
  • Mentor Scrum Masters, Product Owners, and Engineering team members in their roles.
  • Facilitate workshops and sessions to enhance understanding and application of Agile concepts.
  • Assess current team processes and identify areas for improvement.
  • Guide teams in implementing Agile practices to optimize workflows and collaboration.
  • Support Scrum Masters in facilitating effective retrospectives and coach teams on continuous improvement techniques.
  • Assess team agile maturity and create tailored coaching plans to address specific team needs and gaps.
  • Collaborate with Senior Scrum Masters and leadership to identify systemic process improvements and organizational impediments.

Requirements

What you will bring to the role:



Education: Bachelor's degree in a relevant field. Certified Scrum Master (CSM) or equivalent certification required.

Experience: 4+ years of experience working in Agile environments, with at least 1-2 years as an Agile Coach or facilitating Agile teams. Experience in the financial services industry is a plus.

Technical Skills

  • Solid understanding of Agile methodologies (e.g., Scrum, Kanban, Lean) and when to apply each. o Working knowledge of agile scaling frameworks
  • Strong proficiency with Agile project management tools (e.g., Jira, Azure DevOps) to coach teams on effective usage
  • Deep knowledge of software development lifecycle, including modern engineering practices (e.g. TDD, BDD, CI/CD, code review practices)
  • Understanding of AI/ML development workflows and how agile practices adapt for data science teams
  • Familiarity with team assessment frameworks and maturity models
  • Awareness of security and compliance requirements in regulated financial services

Soft Skills

  • Strong ownership and accountability for assigned work
  • Clear and professional verbal and written communication
  • Effective time management and task prioritization.
  • Analytical thinking and problem-solving skills
  • Ability to work independently, collaborate effectively and mentor junior team members
  • Ability to actively listen to customers and accurately understand their needs, expectations, and challenges
  • Adaptability and learning agility in a fast-paced environment
  • Strong attention to detail and a commitment to quality
  • Receptiveness to feedback and continuous improvement mindset


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