A leading global FMCG group with a significant international footprint, supported by a regional Asia headquarters in Singapore covering sourcing, supply chain and trading operations.
Summary
Drive the adoption and business value of Generative AI capabilities across the organization. Reporting to the Senior Analytics Manager, this role will act as a key bridge between business stakeholders and Data & AI teams, identifying high-impact opportunities and translating business challenges into practical AI-enabled solutions.
The role will partner closely with stakeholders to understand business processes, shape GenAI use cases, define requirements, support solution design, and drive successful adoption of AI-powered analytics, conversational AI, and agentic solutions.
What you'll do
Business Partnership & AI Use Case Development
- Partner with business stakeholders to understand key challenges, workflows, and opportunities where Generative AI can create measurable business value.
- Translate business requirements into clear AI use cases, functional requirements, user journeys, and solution concepts.
- Facilitate discussions and workshops with stakeholders to identify, prioritize, and validate GenAI opportunities.
- Act as the key liaison between business teams and Data & AI teams throughout the AI solution lifecycle.
- Help stakeholders understand the capabilities and limitations of LLMs, conversational AI, RAG, and AI agents.
- Support prioritization of AI initiatives based on business impact, feasibility, user adoption, and scalability.
- Gather user feedback and translate it into actionable enhancements for AI solutions.
GenAI Solutioning & Conversational Analytics
- Work with AI and Data Engineers to translate business needs into effective LLM prompts, conversational workflows, and AI agent requirements.
- Design and refine prompts and system instructions that enable AI solutions to respond accurately to business questions.
- Support conversational AI capabilities within Enterprise Looker, ensuring business terminology, data definitions, and user intents are accurately represented.
- Collaborate with technical teams on RAG and agentic AI solutions to ensure outputs are relevant, contextual, and aligned with business requirements.
- Conduct business-user testing and validate AI outputs for accuracy, usability, and relevance before wider adoption.
- Support continuous improvement by monitoring feedback, identifying gaps, and recommending enhancements.
AI Adoption & Change Enablement
- Drive awareness and adoption of GenAI tools across business functions.
- Develop practical guidelines, use cases, prompt libraries, and best practices to help stakeholders use AI effectively.
- Conduct demonstrations, workshops, and knowledge-sharing sessions for business users.
- Champion responsible and effective use of Generative AI across the organization.
- Stay current with developments in Gemini and the broader GenAI ecosystem and assess their relevance to business needs.
- Support ad-hoc AI, analytics, and digital transformation initiatives.
What you'll need
- Bachelor's degree or higher in Business Analytics, Data Science, Computer Science, Information Systems, or a related field.
- 3+ years of experience in AI/Analytics, Business Analysis, Digital Transformation, Product, Consulting, or a similar business-facing technology role.
- Strong experience partnering with business stakeholders to identify requirements, define use cases, and translate business problems into technology solutions.
- Good understanding of Generative AI concepts, including LLMs, prompt engineering, conversational AI, RAG, and AI agents.
- Hands-on exposure to tools such as Google Gemini, Gemini Gems, Custom GPTs, or similar enterprise GenAI solutions.
- Experience working with Google Cloud Platform (GCP) and Google Workspace (GWS) environments is advantageous.
- Familiarity with Looker / Looker Studio, BI platforms, analytics, or conversational reporting solutions.
- Strong communication, presentation, workshop facilitation, and stakeholder-management skills.
- Ability to explain technical AI concepts in clear business language and engage both technical and non-technical stakeholders.
- Strong problem-solving skills with the ability to independently identify opportunities and drive initiatives forward.
- Collaborative, adaptable, and comfortable operating in a fast-paced environment.
Wilson Tay
Direct Line: 6697 7866
EA License No: 91C2918
Personnel Registration Number: R2091205