Data & AI Product Manager

This is a leading enterprise undergoing a large-scale data and AI transformation to embed intelligent decision-making across its core business functions. As part of its continued investment in AI, the organization is seeking to appoint a Data & AI Product Manager to partner directly with a business line and drive the development of data and AI products that solve high-value business problems.

This is a unique opportunity to sit within the business rather than a central technology function, acting as the bridge between business stakeholders, technology teams, and AI engineers to deliver scalable, production-ready AI solutions that create measurable business impact.

You will own the end-to-end product lifecycle for a portfolio of data and AI products, working closely with business leaders to identify opportunities where data, machine learning, Generative AI, and agentic AI can improve decision-making, operational efficiency, and business performance. Acting as the voice of the business, you will translate commercial priorities into clear product roadmaps, business requirements, and delivery plans.

Working alongside data scientists, AI engineers, software engineers, and enterprise technology teams, you will define product requirements, prioritize features, and guide the delivery of AI solutions from concept through production. You will ensure products are built around user needs, leverage enterprise data effectively, and are aligned with architecture, governance, and security standards.

You will continuously measure product performance, adoption, and business outcomes, using data and user feedback to prioritize enhancements and identify new opportunities. You will also champion AI adoption within the business, helping stakeholders understand emerging AI capabilities and identifying new use cases for predictive analytics, Generative AI, AI copilots, and intelligent agents.

We are looking for an experienced Data & AI Product Manager with 5years of experience delivering data-driven or AI-enabled products in enterprise environments. Experience working closely with both business stakeholders and engineering teams is essential, with a proven ability to translate complex business problems into scalable technology solutions.

You should have a strong understanding of AI and data technologies, including machine learning, Generative AI, Large Language Models (LLMs), AI copilots, or agentic AI, although deep hands-on engineering experience is not required. Experience working in agile product environments, defining product roadmaps, prioritizing backlogs, and managing cross-functional delivery teams is highly desirable.

Candidates from financial services, technology, consulting, or other data-intensive industries who have successfully embedded AI products within business functions will be viewed favourably. Strong communication, stakeholder management, and commercial acumen are essential, along with a passion for using AI to solve real business problems.

Interested candidates, please send your resume to Eliza Ng at [Confidential Information], quoting the job title. Due to the high volume of applications, only shortlisted candidates will be notified.

Licence No: 16S8060
Registration No: R1549515