Senior Scrum Master

ExlService Holdings, Inc.; México; Remote; MXN 520,000 - 850,000; Full time

Job summary

ExlService Holdings, Inc. is seeking a Delivery Lead to guide a cross-functional pod in delivering high-impact digital products with predictable cadence, quality, and value. You will partner with Product Owner and engineering leads to keep a healthy backlog and drive delivery through agile processes.

You will facilitate ceremonies, track metrics such as lead time and throughput, remove blockers, and coordinate with architecture, operations, security, and governance to ensure successful outcomes.

Responsibilities

• Facilitate agile ceremonies: sprint planning, daily stand-ups, reviews, retrospectives.
• Drive sprint execution, dependency management, and risk mitigation.
• Partner with Product Owner and engineering leads to maintain a healthy, prioritized backlog.
• Track and improve delivery metrics (lead time, throughput, predictability).
• Remove blockers and foster ownership, accountability, and continuous improvement.
• Coordinate with architecture, operations, security, and governance functions.

Skills

AI planning artifacts

AI meeting summarization

Responsible AI usage

AI output validation

Job description

Role Summary:

Lead a cross-functional pod to deliver high-impact digital products with predictable cadence, quality, and business value.

Key Responsibilities:

• Facilitate agile ceremonies: sprint planning, daily stand-ups, reviews, retrospectives.
• Drive sprint execution, dependency management, and risk mitigation.
• Partner with Product Owner and engineering leads to maintain a healthy, prioritized backlog.
• Track and improve delivery metrics (lead time, throughput, predictability).
• Remove blockers and foster ownership, accountability, and continuous improvement.
• Coordinate with architecture, operations, security, and governance functions.

AI Skills for This Role:

• Use AI tools to accelerate planning artifacts, action tracking, and delivery reporting.
• Use AI for meeting summarization, risk pattern detection, and follow-up generation.
• Apply responsible AI usage standards across the pod.
• Validate AI-generated outputs before team adoption.