At Digital Village, we design and deliver AI-powered solutions that move beyond experimentation into real-world deployment and impact. We work at the intersection of business, design, and engineering to help clients identify, build, and scale AI use cases across their organisations.

We are looking for an AI Product Delivery Manager who can lead end-to-end delivery while actively shaping client engagements and solution direction. This role requires a balance of delivery ownership, AI understanding, and strong client engagement - translating complex AI capabilities into practical, scalable solutions that drive measurable business outcomes.

Key Responsibilities

Own end-to-end delivery of AI solutions - from problem framing and use case identification through to development, deployment, and adoption
Work directly with clients to understand business needs, identify opportunities for AI, and define clear solution approaches and roadmaps
Translate business problems into AI-driven solutions (e.g. LLM applications, RAG-based systems, agentic workflows), working closely with engineering and data teams to drive execution
Lead and coordinate cross-functional teams across data science, engineering, design, and business stakeholders, including onshore and offshore delivery models
Drive delivery execution by managing timelines, budgets, risks, and dependencies across multiple workstreams
Act as a bridge between business and technical teams, simplifying complex AI concepts and guiding stakeholders through trade-offs, constraints, and implementation considerations
Ensure solutions are scalable, feasible, and aligned with enterprise data, architecture, and governance requirements
Track solution performance, user adoption, and business impact, and drive continuous iteration based on real-world feedback
Support business development activities working closely with senior leadership, including shaping proposals, defining solution approaches, and contributing to new opportunities
Build strong client relationships and act as a trusted advisor on AI capabilities, trends, and practical implementation strategies

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The Ideal Candidate

Strong experience in product delivery, technology consulting, or digital/AI programme leadership roles
Demonstrated experience delivering AI or data-driven solutions in real-world environments (beyond conceptual or pilot stages)
Solid understanding of core AI concepts such as LLMs, RAG architectures, prompt engineering, and emerging agentic patterns
Familiarity with deploying AI solutions on cloud platforms (e.g. Azure, AWS) and understanding of associated constraints and trade-offs
Strong client-facing and stakeholder management skills, with the ability to communicate complex ideas in a clear and structured manner
Proven ability to operate in ambiguity, structure problems, and drive clarity and execution
Hands-on mindset with a willingness to get involved in problem-solving when required
Experience managing cross-functional and distributed teams, including onshore/offshore models
Commercial awareness with experience supporting proposals, shaping deals, and contributing to revenue growth
Strong storytelling and communication skills, including proficiency in PowerPoint and Excel

Experience

Typically, 5 - 8 years of relevant experience in consulting, product delivery, or technology roles
Experience working in fast-paced, client-facing environments with multiple stakeholders
Practical exposure to AI-led initiatives, with involvement in taking solutions from concept through to deployment and adoption

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.