AI Insights Manager

Join F&N, a dynamic Asian conglomerate known for iconic brands like 100PLUS, F&N Fun Flavours, F&N SEASONS, OYOSHI, F&N Magnolia, FARMHOUSE, F&N ICE MOUNTAIN; Condensed and Evaporated Milk under F&N, TEAPOT, Gold Coin, Cap Junjung, IDEAL and CARNATION brands; as well as NONA brand of ketupat and sauces. The Group’s subsidiary, Cocoaland, is also the largest gummy candy producer in Malaysia with its flagship Lot 100 brand. Be a part of our growth journey in food and beverages. Bring your skills in marketing, operations, or strategic management in creating Pure Enjoyment, Pure Goodness moments while embracing innovation and sustainability. Shape the future of consumer goods with us!What will you be doing?Own and execute the AI, analytics and automation roadmap, aligning investments and use cases with business priorities, feasibility, risk and measurable value.Partner with business and technology leaders to translate operational needs into scalable solutions across finance, commercial, supply chain, manufacturing and workforce productivity.Lead the AI team and build technical capability through coaching, design reviews, constructive challenge and clear engineering and modelling standards.Provide expert guidance on problem framing, data preparation, feature engineering, algorithm and model selection, experimental design, validation, explainability and performance trade-offs.Design and review architectures for machine learning, forecasting, optimisation, generative AI, retrieval-augmented generation and agentic AI, selecting approaches based on accuracy, latency, scalability, maintainability, risk and cost.Lead solutions from proof of concept to production, covering data pipelines, APIs, MLOps/LLMOps, versioning, CI/CD, observability, retraining, rollback, security and enterprise integration.Establish robust evaluation and monitoring practices, including baselines, error analysis, bias and drift testing, business acceptance criteria and post-deployment performance tracking.Apply F&N's AI governance, privacy, cybersecurity and responsible AI requirements, ensuring solutions are documented, auditable and production-ready.Manage senior stakeholders, vendors and delivery partners; communicate priorities, design decisions, risks, investment needs and realised benefits clearly.What you bring?Degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Engineering or a related quantitative discipline; a relevant Master's is preferred.At least 10 years of relevant AI, data science, analytics or solution architecture experience, including significant hands-on experience building and deploying AI/ML models.At least 5 years of proven leadership, leading a team of data scientists and engineers to design, deliver and maintain robust AI solutions for the company.Proven leadership of data scientists, AI engineers or multidisciplinary delivery teams, with the technical depth to independently critique designs and improve modelling decisions.Strong grounding in statistics, machine learning, model evaluation and optimisation, with practical Python and SQL capability and experience in modern data science frameworks.Experience designing production AI/ML architectures and operating models, including cloud deployment and MLOps/LLMOps.Experience with the Microsoft ecosystem, particularly Azure AI Foundry/Azure Machine Learning, Azure OpenAI, Microsoft Fabric and Power BI. Strong GCP or AWS experience is acceptable where Microsoft-stack capability is demonstrated.Commercial judgement and the ability to communicate complex technical decisions to executive, business and technical audiences.Experience in FMCG, manufacturing, supply chain, commercial or finance environments is advantageous.What we offer?Health & Wellness: Health care coverage designed for the mind and body.Comprehensive medical, insurance, or social security coverage.Engaging activities and recognition programs.Strong learning and development plans for your career growth.Flexible working arrangements.Attractive remuneration, great perks, and performance incentives.