Program Manager - AI-Driven Software Development Lifecycle

UST USource; Kuala Lumpur; On-site; MYR 300,000 - 450,000; Full time

Job summary

UST USource seeks an experienced Program Manager to lead a large-scale AI-Driven Software Development Lifecycle transformation. The role will drive enterprise adoption of AI-native engineering practices, agentic workflows, and AI-assisted development to improve engineering productivity, quality, cost efficiency, and speed to market.

The candidate will manage multi-unit programs, establish governance frameworks, and coordinate global teams to deliver measurable value and enable self-sufficiency

Qualifications

• 10+ years of experience in program management, IT delivery or engineering transformation.
• Proven success leading large-scale software engineering or digital transformation programs.
• Strong expertise in agile delivery, DevOps, SDLC modernization and governance.
• Experience with GitHub and AI-assisted software development platforms.

Responsibilities

• Lead end-to-end delivery of AI-DLC transformation programs across multiple business units.
• Establish governance, operating models, reporting, roadmaps, budgets, risks, and dependencies.
• Drive phased adoption: assessment, pilot, scaling, transition to self-sufficiency.
• Coordinate cross-functional teams including platform engineering, architects, FDEs, product specialists, and client engineers.

Skills

Program management

IT delivery

Engineering transformation

Agile delivery

Executive stakeholder management

Global/distributed teams

Tools

GitHub

AI-assisted software platforms

Job description

Program Manager - AI-Driven Software Development Lifecycle

We are seeking an experienced Program Manager to lead a large-scale AI-Driven Software Development Lifecycle (AI-DLC) Transformation initiative. This role will drive enterprise adoption of AI-native engineering practices, agentic workflows, and AI-assisted software development, enabling measurable improvements in engineering productivity, quality, cost efficiency, and speed to market.

Key Responsibilities

• Lead end-to-end delivery of AI-DLC transformation programs across multiple business units.


• Establish and manage governance frameworks, operating models, executive reporting, program roadmaps, budgets, risks, and dependencies.


• Drive phased adoption strategies covering assessment, pilot execution, enterprise scaling, and transition to self-sufficiency.


• Coordinate cross-functional teams including platform engineering, architects, Forward Deployed Engineers (FDEs), product specialists, and client engineering teams.


• Manage stakeholder alignment across executive leadership, engineering organizations, and delivery teams.


• Track and drive value realization through metrics such as DORA metrics, cycle time, defect rates, developer productivity, AI adoption, and engineering maturity.


• Lead organizational change management, enablement programs, training initiatives, and capability transfer activities.


• Ensure successful rollout of AI-assisted development workflows, governance controls, playbooks, SOPs, and reusable engineering assets.

Required Qualifications

• 10+ years of experience in Program Management, IT Delivery, Engineering Transformation, or related fields.


• Proven success leading large-scale Software Engineering, DevOps, Platform Engineering, or Digital Transformation programs.


• Strong expertise in Agile delivery, DevOps, SDLC modernization, enterprise governance, and organizational change management.


• Experience with GitHub, AI-assisted software development platforms, developer productivity programs, or engineering transformation initiatives.


• Demonstrated ability to manage global, distributed, and cross-functional teams.


• Excellent executive communication, stakeholder management, facilitation, risk management, and problem-solving skills.

Preferred Qualifications

• Hands-on experience leading Generative AI, Agentic AI, GitHub Copilot, AI-native SDLC, or Developer Productivity Transformation programs.

Why Join?

Be at the forefront of enterprise AI transformation, shaping the future of software engineering through AI-powered development practices, intelligent automation, and next-generation engineering operating models.