Duties & Responsibilities:

• Facilitate sprint planning, daily stand-ups, backlog refinement, sprint reviews, retrospectives, and other Agile working sessions across multiple teams.

• Coach teams in Agile principles, Scrum practices, estimation, capacity planning, definition of ready, and definition of done.

• Help teams become self-organizing, accountable, and focused on delivering measurable business value.

• Partner with product owners to maintain healthy, prioritized backlogs aligned with product roadmaps and business objectives.

• Identify, track, and remove impediments that affect delivery, escalating systemic issues when necessary.

• Coordinate dependencies, risks, releases, and delivery commitments across Enterprise Engineering teams.

• Use delivery metrics—including velocity trends, cycle time, throughput, predictability, and work-in-progress—to identify improvement opportunities.

• Communicate delivery health, risks, dependencies, and actionable insights to stakeholders and leadership.

• Promote engineering practices that support quality, sustainable delivery, and operational readiness.

• Foster transparency, psychological safety, constructive conflict resolution, and healthy team dynamics.

• Lead continuous-improvement initiatives and ensure retrospective actions produce measurable results.

• Mentor Scrum Masters and contribute reusable practices, standards, and learning across Agile Operations.

• Support organizational change and the continued maturity of AHEAD’s Agile operating model.

• Other job duties as assigned 
  
  

  • AI & Automation Proficiency

  • Working knowledge of AI-assisted tools and workflows (e.g., generative AI assistants, AI-powered coding/testing tools, or agentic AI platforms) relevant to the role's core function.

  • Ability to apply effective prompting techniques to accelerate research, documentation, coding, or analysis tasks.

  • Comfortable learning and adopting new AI-enabled tools as part of day-to-day work, with a willingness to continuously build AI fluency.

  • Understanding of responsible AI use, including data privacy, security, and verification of AI-generated outputs before acting on them.

Education & Experience:

• Bachelor’s degree in Computer Science, Information Technology, Business, or a related field, or equivalent professional experience.

• At least five years of experience in technology delivery, including substantial experience as a Scrum Master or Agile delivery leader.

• Demonstrated experience supporting multiple cross-functional software, platform, SaaS, automation, or enterprise application teams.

• Strong knowledge of Agile principles, Scrum, Kanban, software delivery lifecycles, and continuous-improvement practices.

• Experience using Azure DevOps, Jira, Rally, or a comparable Agile lifecycle-management platform.

• Experience managing cross-team dependencies, delivery risks, and stakeholder expectations.

• Proven facilitation, coaching, mentoring, conflict-resolution, and problem-solving capabilities.

• Strong written and verbal communication skills, including the ability to engage technical contributors and senior stakeholders

Preferred Qualifications

• Certified ScrumMaster, Professional Scrum Master, PMI Agile Certified Practitioner, or comparable certification.

• Experience working with Salesforce or other enterprise SaaS development teams.

• Familiarity with DevOps, release management, CI/CD, quality automation, and modern engineering practices.

• Experience supporting distributed or globally located teams.

• Experience introducing delivery metrics and coaching teams to use data constructively.

• Familiarity with Microsoft 365 and enterprise collaboration tools