AI Product Delivery Manager

About KPMG Singapore

KPMG in Singapore is part of an international network of independent professional services firms offering Audit, Tax, and Advisory services. Operating in 138 countries with over 276,000 partners and employees collectively, each KPMG entity is a legally independent organization. KPMG International Limited, a private UK company, along with its affiliates, does not directly provide services to clients.

Role Overview

At KPMG's Digital Village, we focus on architecting and delivering AI-enabled solutions that transcend experimental phases to yield tangible, impactful business outcomes. Our work spans the intersection of business, design, and engineering to assist clients in identifying, building, and scaling AI applications across their organizations.

We are seeking an AI Product Delivery Manager who will spearhead complete delivery cycles, influence client engagements, and steer solution direction. The ideal candidate combines strong ownership of delivery processes with in-depth AI knowledge and effective client communication skills, translating intricate AI technologies into practical and scalable business solutions.

Key Responsibilities

• Lead the full delivery lifecycle of AI solutions, from defining problems and identifying use cases to development, deployment, and user adoption.
• Engage directly with clients to decipher their business requirements, uncover AI opportunities, and formulate solution strategies and roadmaps.
• Convert business challenges into AI-based solutions — including applications involving large language models (LLMs), retrieval-augmented generation (RAG) architectures, and agentic workflows — collaborating closely with engineering and data teams to ensure successful implementation.
• Manage and coordinate cross-disciplinary teams involving data scientists, engineers, designers, and business stakeholders, including offshore and onshore members.
• Drive execution by overseeing schedules, budgets, risk management, and dependencies across various project streams.
• Serve as the liaison between business and technical teams, simplifying complex AI concepts and guiding stakeholders through trade-offs and implementation constraints.
• Ensure AI solutions are scalable, technically viable, and comply with enterprise data governance and architectural standards.
• Monitor solution performance, track user engagement and business impact, and promote continuous improvements based on real-world feedback.
• Support sales and business development by collaborating with senior leaders on proposals, defining solution frameworks, and identifying new opportunities.
• Establish and maintain strong client partnerships, acting as a trusted advisor on AI trends, capabilities, and pragmatic implementation tactics.

Candidate Profile

• Proven track record in product delivery, consulting, or leadership roles within digital and AI-centric programs.
• Hands-on experience delivering AI or data-driven products beyond experimental phases into operational environments.
• Good understanding of essential AI concepts such as large language models, RAG frameworks, prompt engineering, and emerging autonomous agent patterns.
• Knowledge of deploying AI on cloud infrastructure like Azure or AWS, including awareness of associated challenges and compromises.
• Strong stakeholder management and client-facing capabilities with clear and structured communication.
• Ability to operate effectively in ambiguous environments by structuring problems and driving clarity and execution.
• Proactive and pragmatic approach with willingness to engage in problem-solving when needed.
• Experience managing diverse teams across locations, including onshore and offshore settings.
• Commercial acumen with experience in proposal development, deal shaping, and contributing to revenue growth.
• Excellent storytelling and presentation skills, with proficiency in PowerPoint and Excel.

Experience Requirements

• Between 5 and 8 years in relevant fields such as technology consulting, product delivery, or digital roles.
• Experience working in dynamic, client-focused environments involving multiple stakeholders.
• Direct involvement in AI-led projects from conception through deployment and ongoing adoption.

Diversity and Inclusion

KPMG Singapore is dedicated to fostering a diverse and inclusive work environment. We value diverse backgrounds, experiences, and perspectives as key to enhancing relationships and delivering benefits to our people, clients, and communities. We are an equal opportunity employer committed to fair hiring practices irrespective of age, race, gender identity, color, marital status, religion, sexual orientation, disability, or other non-merit factors. Our flexible working framework, Take Charge: Flexi-work, empowers agile teams to achieve business objectives while supporting individual personal and professional growth.

Recruitment Process

Only shortlisted candidates will be contacted by the KPMG Talent Acquisition team. Personal data collected will be used solely for recruitment purposes.