[BT NASAPMENA] SG - Product Manager - AI Solutions at L'Oréal in Singapore
- Company: L'Oréal
- Location: Singapore, Central Singapore, Singapore
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-12
Job description
PRODUCT MANAGER – AI Solutions Singapore Come join us in reshaping the future! Our company is creating the beauty of the future while our team is driving change to be the company of the future. We create value by delivering unsurpassed beauty experience for our consumers and by augmenting our collaborators. Our Missions: We create value by augmenting employees with AI-powered products for our strategic métiers We catalyze L’Oréal AI, data and tech transformation We maintain our innovation edge We empower employees & attract tech talents Today, the Singapore AI Solutions Team is seeking a Product Manager to join a dynamic and multi-disciplinary team with an entrepreneurial mindset to lead the evolution of an AI-powered Revenue Growth Management product that helps L’Oreal business teams make better promotion and commercial investment decisions. Based in Singapore, The Product Manager will be responsible for managing and developing a complex AI product, defining the product strategy, setting the product vision, and ensuring the successful execution of product initiatives. He/She will be involved in various aspects of the product lifecycle, including conducting research, gathering user insights, defining product requirements, collaborating with cross-functional teams, and prioritizing feature development. He/She will work closely with various stakeholders across the L’Oréal organization to align product goals with business objectives and ensure that the product meets the needs of the target. In addition to strategic responsibilities, the Product Manager will also be involved in tactical activities such as conducting competitive analysis, monitoring product performance, user feedback, and making data-driven decisions to drive product improvements. Strong leadership, communication, collaboration and analytical skills are essential for this role, as the Product Manager will effectively guide and collaborate with teams, influence decision-making, and drive innovation within the organization. Key responsibilities: Product Strategy & Ownership Own the product vision, strategy, roadmap and prioritization for the Product. Translate business problems and customer needs into product requirements and scalable solutions. Define product success metrics and drive adoption and business impact. Apply core product management practices across discovery, prioritization, delivery and lifecycle management Drive change management to support effective product use across Commercial and RGM teams RGM & Commercial Expertise Understand and solve CPG/FMCG RGM and commercial problems, including: Promotion & trade promotion Pricing & price-pack architecture Promo ROI and effectiveness Demand, uplift and investment optimization Partner with Commercial & RGM teams to identify high-value opportunities. Translate business challenges into AI/data-driven product capabilities. AI & Data Product Management Work closely with Data Scientists, ML Engineers, Data Engineers and Technology teams. Understand data, ML models, optimization and AI sufficiently to make informed product decisions. Translate AI/ML capabilities into intuitive, actionable business solutions. Identify opportunities to leverage GenAI and Agentic AI within commercial workflows. Complex Delivery & Stakeholder Management Lead complex, multi-workstream initiatives across Business, Data, Technology and external partners Manage dependencies, risks, priorities and delivery milestones Drive Agile/Scrum delivery through backlog management, sprint planning, reviews and prioritization Manage vendors and technology partners to ensure quality and timely delivery Operating in Ambiguity Navigate problems where requirements, data or solutions are not clearly defined. Break complex problems into actionable, incremental solutions. Demonstrate a strong “find a way to make it work” mindset. Make pragmatic trade-offs between business value, technical feasibility and speed. Cross-Team Collaboration The role sits at the int
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