Delivery Coach

CTOS Data Systems; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

CTOS Digital is seeking a Delivery Coach to enhance the speed, quality and predictability of software delivery across product squads. You will partner with Product Managers and Engineering Leaders to remove bottlenecks and embed best practices in a data‑driven, AI‑enabled SDLC.

Ideal candidates have 8+ years delivering software products, 3+ years coaching agile teams, and strong cross-functional collaboration skills, with a focus on continuous improvement and accountability.

Qualifications

• 8+ years of experience in software product delivery.
• 3+ years coaching Agile product teams or leading delivery improvement.
• Experience working in cross-functional product organisations.

Responsibilities

• Coach product squads to improve delivery speed, predictability and quality.
• Promote lean and agile delivery across teams.
• Build cross-functional product squads and mentor leaders.
• Implement and track delivery metrics and performance.
• Champion AI tools adoption in the SDLC.

Skills

Agile coaching

Delivery excellence

Cross-functional collaboration

AI in SDLC

Education

Bachelor's degree in Computer Science/Engineering/IT

Tools

CI/CD

Job description

CTOS Digital is a key player in the ASEAN credit reporting landscape, enabling digital credit solutions through strategic investment and innovation. We empower individuals and businesses with the confidence to make sound credit decisions through access to data and insights with greater ease and speed.

ROLE OVERVIEW

This role is responsible for improving the organisation’s ability to deliverhigh-quality software products quickly and consistently. Working across cross-functional productsquads, the Delivery Coach partners with Product Managers, Engineering Leads,System Analysts, Quality Assurance Engineers and Developers to improve deliveryeffectiveness, removebottlenecks, embed best practices and build a culture of continuous improvement.

ProductManagers remain accountable for product priorities, customer outcomes androadmap decisions, while Engineering Leads remain accountable for technicaldelivery, engineering standards and people leadership. The Delivery Coachenables both roles by improving the delivery system, strengthening teampractices and helping remove impediments.

The Delivery Coach improves the end-to-end product delivery system, rather than managing ceremonies or sprintadministration. The role also focuses on coaching, capability building, organisational effectivenessand data-driven decision-making.

KEY RESPONSIBILITIES

Delivery Excellence

• Coach product squads to improve delivery speed, predictability and quality.
• Improve team flowby reducing handoffs, delays and unnecessary overhead.
• Identify and remove systemic bottlenecks affectingproduct delivery.
• Drive continuous improvement across the SoftwareDevelopment Lifecycle (SDLC).
• Promote lean product development and agile deliveryprinciples.

Coaching &Capability Building

• Coach Product Managers, Engineering Leads, System Analysts and QualityAssurance Engineers to build delivery capability.
• Facilitate constructive discussions that enableteams to solve problems collaboratively.
• Develop high-performing cross-functional productsquads.
• Mentor delivery leaders in servant leadership andcontinuous improvement practices.
• Promote a culture of accountability, ownership andlearning.

Agile Ways of Working

• Continuously evaluate and improve delivery practices rather than enforcing rigid frameworks.
• Guide teams inadapting Agile practices to their product, customer and organisational context.
• Facilitate retrospectives and improvement workshops where required.
• Share best practices across product squads.

Delivery Metrics & Performance

• Establish and monitor delivery metrics including:
• Lead and Cycle Times
• Deployment Frequency
• Change Failure Rate
• Team Throughput
• Work in Progress
• Use data to identify trends and recommendimprovement initiatives.

Cross Functional Collaboration

• Improvecollaboration between Product, Engineering, Quality Assurance, Architecture and Operations.
• Clarify delivery responsibilities with ProductManagers and Engineering Leads to avoid overlap in product prioritisation,technical ownership and people management.
• Support planning for large cross-functional initiatives.
• Align senior stakeholders and business owners ondelivery priorities, dependencies and improvement actions.
• Communicate delivery risks, constraints andtrade-offs to product, technology and business stakeholders.
• Escalate systemic impediments and facilitateleadership decisions to improve cross-team delivery.

AI-Enabled Product Delivery

• Champion the practical adoption of AI tools across the SDLC.
• Coach teams to integrate AI into requirements analysis, coding, testing, documentation anddelivery workflows.
• Encourage the sharing of reusable AI prompts, workflows and bestpractices.
• Measure productivity improvements from responsible AIadoption.

WHAT DOES IT TAKE TO BE SUCCESSFUL

Qualifications

• Bachelor's degree in Computer Science, Engineering,Information Technology or a related discipline.
• Agile certification (e.g. Certified ScrumMaster,Professional Scrum Master, SAFe, ICAgile) is desirable but not mandatory.
• Coaching certification is advantageous.

Work Experience

• 8+ years of experience in software productdelivery.
• 3+ years ofcoaching Agile product teams or leading delivery improvement initiatives.
• Experienceworking in cross-functional product organisations.

Knowledge, Skills & Experience

• Strong knowledge and application of:
• Scrum,Kanban and flow-based delivery.
• Modern SDLCpractices.
• Testautomation.
• Productdiscovery and product lifecycle management.
• Softwarearchitecture fundamentals.
• Deliverymetrics and engineering performance measurement.
• AI-assistedsoftware development tools and practices.
• Demonstrated success in improving deliveryspeed, software quality and organisational effectiveness.
• Experienceworking with modern software engineering practices including CI/CD and DevOps.
• Experienceimplementing or scaling Agile delivery practices across multiple teams.
• Experiencesupporting AI adoption in software development is desirable.
• Bilingual inEnglish and Bahasa Malaysia.