The Assistant Demand Planning Manager supports L'Oréal's market supply chain by building and challenging monthly consensus demand forecasts, analyzing promotional uplifts, and aligning inventory targets across retail and digital channels. The role facilitates S&OP reviews, communicates with logistics teams, uses digital planning tools and predictive algorithms, and investigates forecast discrepancies. The successful candidate has practical demand forecasting and baseline modeling capability, advanced data skills using Excel, Power BI, or enterprise APS platforms, and strong communication with commercial, marketing, and finance partners. The role also requires a continuous-improvement mindset and working English proficiency for presenting complex data to regional and transversal teams.
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This role sits within SPX Express Operations at Shopee in Bangkok and focuses on owning and executing projects independently to drive excellence improvements across ticket management and in-house hiring workstreams. Main duties include leading process improvement projects, designing incentive schemes, driving AI and automation initiatives, and optimizing team infrastructure and governance models. The position requires an experienced PMO with strong critical thinking and analytical skills to identify problems, root causes, and fix plans. Candidates should be effective problem solvers, capable of coordinating with managers across SPX, presenting to senior stakeholders, and managing upward. A bachelor's degree, 3+ years of experience, and a consulting or strategy background are preferred, along with proficiency in English and interest in AI and process automation.
The Special Projects Lead – Strategy & Process Excellence (SPX) sits within Shopee's Operations team in Bangkok and leads high-impact strategic initiatives and special projects aimed at accelerating operational growth, optimizing cross-functional workflows, and improving execution. Core duties include defining and reporting operational and PMO performance metrics, identifying process gaps, translating cross-functional feedback into action items and AI-driven solutions, and engaging internal business units, department leads, and external partners to surface bottlenecks and governance gaps. The role requires 2–4+ years of experience in project management, strategic operations, management consulting, or process excellence, ideally in tech, e-commerce, consulting, supply chain, or logistics. Candidates need strong analytical and problem-solving skills, excellent stakeholder management across frontline and executive levels, and a data-driven, tech-oriented approach with familiarity in AI and modern workflow tools.
The Department Head of IT Quality Assurance Engineering at Kiatnakin Phatra Bank Public Company Limited leads the bank's QA transformation in Bangkok. Responsibilities include defining and executing the overall QA strategy toward a highly automated CI/CD model, scaling test automation frameworks across web, mobile, and API layers, piloting AI/ML testing tools, and overseeing non-functional testing such as performance, load, stress, and security testing. The role also manages compliance with financial regulations, reports quality KPIs to executive leadership, and leads a team of QA Engineers, QA Leads, and vendor partners. Candidates must have 10+ years of QA experience with a strong hands-on automation background plus 5+ years in QA leadership, and deep expertise in Banking, FinTech, or Financial Services. Required technical skills include automation tools such as Selenium, Cypress, Playwright, and Appium, along with APIs, CI/CD, cloud, and performance testing. A Bachelor's or Master's degree in computer science, Engineering, or equivalent is required.
CP Axtra (Makro) is hiring an AI Product Engineer within its Wholesale Technology Strategy team in Bangkok. The role is a hybrid of Product Owner, Project Manager, Business Analyst, and Software Engineer, delivering technology and AI solutions from business requirements through live implementation. Duties include gathering requirements and translating them into solution designs, user stories, and delivery plans; developing internal applications, dashboards, automations, and prototypes; writing and troubleshooting code including APIs, database queries, integrations, and front-end or back-end components; using AI tools to accelerate development; owning end-to-end delivery including UAT, training, and go-live; managing project plans and stakeholders; and tracking adoption, KPIs, and business benefits. Candidates need a relevant bachelor's degree, hands-on skills in JavaScript/TypeScript, Python, or SQL, AI-assisted development ability, and bilingual Thai/English communication. Onsite work at Makro Head Office is required.
This role leads AI-driven transformation across Shopee Express (SPX) operations in Bangkok. The Special Projects professional will identify and prioritize AI and automation opportunities, lead end-to-end transformation projects from business case to nationwide scaling, and apply AI, predictive analytics, and automation to improve manpower planning, parcel forecasting, route optimization, and sorting productivity. The position partners with Operations, Technology, Product, Data Analytics, and Regional teams to translate business requirements into practical AI-powered solutions, while establishing KPIs and measuring ROI. Candidates need 3–7 years in strategy, project management, or transformation roles, strong analytical and stakeholder management skills, and familiarity with AI, machine learning, or data analytics tools.
This role focuses on consulting for Japanese companies in Southeast Asia regarding digital transformation, specifically utilizing AI and data. The position involves transitioning clients from simple data visualization to complex analytics and applying AI across the entire value chain. Responsibilities include high-level strategy formulation, solution implementation, managed services, and training. The role requires leading mixed teams of local and Japanese Client Services members to manage projects and support client development.
Deloitte Southeast Asia is hiring a Consultant or Senior Consultant for its Artificial Intelligence & Data team in Thailand. The role involves designing and delivering end-to-end AI and data solutions across hyperscaler ecosystems (AWS, Azure, Google Cloud) and modern data/AI platforms (Salesforce, NVIDIA, Databricks, Snowflake), applying generative AI, LLMs, copilots, and agentic AI, and using visualization tools such as Power BI and Tableau to drive insights. The position spans the full project lifecycle from strategy and advisory to technical solutioning and implementation, partnering with internal teams across Southeast Asia and Asia Pacific. Candidates need a good honors degree in a relevant discipline, consulting experience at a Big 4 or equivalent, 4+ years (Consultant) or 6+ years (Senior Consultant), hands-on expertise with data platforms and cloud/AI ecosystems, and exposure to generative AI and LLM technologies.
This role involves managing the commercial cycle for data and AI solutions, including preparing quotations, invoices, and proposals. The position requires coordinating with internal teams and clients to ensure projects stay on track and maintaining client relationships. Responsibilities include conducting competitor research, supporting pricing strategies, and preparing presentation materials. The role is ideal for someone with 1-3 years of experience in sales or consulting support who is interested in technology and AI.
This role involves designing and optimizing LLM pipelines, including retrieval and grounding, and developing RAG systems using vector databases. The engineer will build agentic workflows and function-calling systems, evaluate model performance, and diagnose failure modes like hallucinations. Responsibilities also include preparing unstructured documents for ingestion, maintaining backend components, and supporting deployment across cloud or on-prem infrastructure. Candidates must translate ambiguous requirements into structured tasks and ensure AI features are grounded and reproducible. The position requires a Bachelor's degree in a relevant field and 1-3 years of experience in data, AI, or software roles. Proficiency in Python, SQL, and at least one BI tool is required. Candidates must have hands-on experience with LLM APIs and the ability to communicate clearly in Thai with working proficiency in English.