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Experience:

5 years required

Skills:

Market Research

Job type:

Full-time

• The Market Research Manager will work in one.
• of the largest fintech company with presence across 6 countries in Southeast.
• Asia. He/she will join our company's journey to accomplish the mission of.
• enabling everyone with access to innovative financial services, leading to better.
• lives.
• As the consumer advocate, the Market Research.
• Manager will be the voice of our TrueMoney Wallet app users and enabling our.
• company to deliver brand communications, promotional and product & service.
• offerings that are relevant and appealing to use.
• He/she will play an important role in energizing.
• a customer-centric mindset within the organization and help make TrueMoney.
• Wallet become the most preferred payment.
• platform for millions of Thais to use everyday.
• What you'll be doing.
• Lead market research work to generate.
• actionable insights that builds TrueMoney brand equity and drive usage for the e-wallet.
• app and financial services on the Thai and regional markets.
• Manage research agency partners to conduct brand.
• tracking studies to track & monitor overall brand health performance on the.
• market.
• Analyze data to identify opportunities to enhance.
• on TrueMoney Wallet brand & communication strategies, deliver use-case promotional.
• campaigns, and understand consumer behaviors towards new product & services.
• launch.
• Conduct landscape analysis to understand on competitor.
• brand & communication strategies, imagery & perceptions, and product.
• services usage behaviors.
• Manage market research project budgets, timeline and.
• deliverables.
• What we're looking for.
• Minimum of 5 years of professional experience.
• in market research.
• (either from market research.
• agency or in-house role).
• Proven ability to lead, conduct and execute end-to-end.
• research projects.
• Adept in analyzing data and translating into.
• actionable insights.
• Excellent knowledge of both quantitative.
• qualitative research methodologies. Expertise in data analytics will be.
• an advantage.
• Data-driven and analytical thinking with.
• solid business acumen.
• Strong English-Thai verbal/written communication.
• and presentation skills.
• Knowledgeable and passionate about market research.
• practices, consumer insights, branding and digital technologies.
• International mindset and comfortable in.
• working across different cultures.
• Minimum of Bachelor degree in business/marketing/research.
• (or related field).
• Any prior experiences with fintech/financial.
• services will be an advantage.
• True.
• Digital Park, Sukhumvit 101/1, Prakanong, Bangkok (BTS - Punnawithi).

Skills:

System Testing, DevOps, Software Development, English

Job type:

Full-time

• Ensure system reliability, scalability, and performance across development, testing, and production environments..
• Automate deployment, monitoring, and incident response to enhance operational efficiency..
• Support and optimize CI/CD pipelines to enable smooth and reliable application releases..
• Manage and maintain Dev, SIT, and UAT environments to ensure stability for development and QA activities..
• Assist with test data preparation and data provisioning to support QA and system testing..
• Implement monitoring, alerting, and observability tools for proactive issue detection and resolution..
• Collaborate with Development, Infrastructure, and QA teams to ensure systems meet Non-Functional Requirements (NFRs) such as performance, reliability, and availability..
• Support environment readiness and test data provisioning throughout testing cycles..
• Bachelor's degree or higher in Computer Science or related fields.
• 7 - 10+ years of experience in Site Reliability Engineering, DevOps, or Environment Management..
• Experience with CI/CD, DevSecOps, data provisioning..
• Familiar with DevOps / Software Development tools (Dynatrace, GitLab, Jenkins, SonarQube, Nexus).
• Strong expertise in system reliability, performance, and multi environment management (Dev/SIT/UAT)..
• Hands on experience with CI/CD pipelines and deployment automation..
• Knowledge of cybersecurity fundamentals and compliance frameworks (ISO 27001, ITIL, SOC, GDPR/PDPA)..
• Ability to support test data preparation and environment readiness..
• Strong problem solving and cross team collaboration skills..
• Good English Communication.
• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• Contact: Talent Acquisition Center: 0 2--- ---- #--183.
• FB: Krungsri Career.
• LINE: Krungsri Career.
• LINKEDIN: Krungsri.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

Skills:

Sales, Business Development

Job type:

Full-time

• Lead the execution of sales initiatives and collaborate closely with the Marketing, Risk Management, and Credit Analysis teams to achieve loan origination targets through the dealer network.
• Develop and implement proactive market penetration strategies for the used motorcycle financing business by expanding partnerships with new dealers in high-potential markets while strengthening relationships and increasing business volume with existing dealer partners.
• Monitor and oversee on-ground sales execution across all regions to ensure effective implementation of sales campaigns and dealer engagement activities.
• 2) Process Improvement & Operational Efficiency.
• Improve Turnaround Time (TAT) and Service Level Agreement (SLA): Analyze and optimize end-to-end loan processing workflows to reduce approval and disbursement turnaround time for used motorcycle and refinance loans, enhancing market competitiveness.
• Appraisal Process Optimization: Establish standardized vehicle inspection and appraisal processes to improve pricing accuracy, reduce duplication, and enhance operational efficiency.
• Process Design & Continuous Improvement: Streamline collaboration among Sales, Credit Underwriting, Operations, and Dealer partners by implementing lean processes that minimize documentation errors and accelerate loan processing.
• 3) Risk Management & Portfolio Quality Control.
• Partner with Credit and Risk Management teams to review and enhance credit policies, including Loan-to-Value (LTV) guidelines, ensuring they appropriately reflect the risk profile of used motorcycles and refinance lending.
• Monitor dealer portfolio performance by analyzing delinquency trends and closely tracking overdue accounts and Non-Performing Loans (NPL), particularly within the used motorcycle segment.
• Develop and recommend risk mitigation measures and collaborate in designing dealer performance and monitoring programs (e.g., MVD) based on portfolio quality.
• 4) Data Analytics & Sales Team Management.
• Analyze quantitative data, including approval/rejection rates and customer behavior, to generate actionable insights that improve sales productivity, customer acquisition, and credit quality.
• Develop manpower plans by allocating sales resources based on market size, business potential, and dealer coverage to maximize productivity.
• Build sales team capabilities through training and coaching in areas such as used motorcycle appraisal, fraud detection, negotiation skills, and consultative selling techniques.
• 5) Project Management & Cross-functional Initiatives.
• Lead or participate in strategic projects, including Digital Lending initiatives and cross-functional sales development programs to improve customer experience and business efficiency.
• Perform other duties and special assignments as required to support business operations, resolve field-related issues, and respond to evolving company strategies and policies.
• Bachelor's or Master's degree in Business Administration, Finance, Economics, Marketing, or related field.
• years of experience in Sales Strategy, Business Development, Commercial Planning, Financial Services, Banking, Auto Finance, or Automotive Industry.
• Experience in leading strategic projects and performance management initiatives.
• Proven track record in driving revenue growth and sales optimization.

Skills:

Budgeting, Compliance, Research, English

Job type:

Full-time

• Develop and execute the Data Platform, Data Warehouse & Analytics strategy and roadmap in alignment with the organization's business objectives.
• Act as the system owner for the enterprise Data Platform, Data Warehouse & Analytics environment, ensuring system stability, availability, security, and performance.
• Lead end-to-end Data Platform, Data Warehouse & Analytics projects, including planning, budgeting, vendor selection, implementation, and project delivery.
• Oversee the design and development of enterprise Data Architecture, data standards, and scalable data solutions.
• Ensure data quality, data integrity, and seamless data integration across relevant systems and business functions.
• Establish and drive Data Governance, Data Security, and Compliance policies in accordance with organizational requirements and applicable laws and regulations.
• Act as a strategic data advisor to business leaders and key stakeholders, providing insights and recommendations to support data-driven decision-making.
• Manage external vendors, technology partners, and service providers to ensure project delivery, service quality, and alignment with business requirements.
• Lead and manage the DWH & Analytics team by setting objectives, developing team capabilities, and fostering a data-driven culture across the organization.
• Research and evaluate emerging technologies in Data, Analytics, AI, and Automation, and identify opportunities to apply them to improve business efficiency and effectiveness.
• Bachelor's degree or higher in Computer Science, Information Technology, Statistics, Data Science, or other related fields.
• At least 7 years of hands-on experience in developing and managing dashboards and analytics solutions using Qlik Sense and/or Power BI..
• Experience with Microsoft Fabric / Microsoft Data Fabric is a strong advantage..
• Strong understanding of Data Warehouse, Data Platform, Data Architecture, Data Integration, Data Governance, and Analytics concepts.
• Strong leadership, stakeholder management, problem-solving, and project management skills.
• Good command of English with strong written and verbal communication and presentation skills.
• Fast learner, self-motivated, proactive, and able to adapt to new technologies and business requirements.
• Service-oriented mindset with a collaborative approach to working effectively with internal stakeholders and cross-functional teams.
• Excellent organizational and time management skills, with the ability to manage, prioritize, and deliver multiple tasks and projects effectively.
• Work Location: The Mall - Head Office (Ramkhamhaeng), Nearby Airport Link Ramkhamhaeng Station.

Skills:

eCommerce, Negotiation, Problem Solving, Mandarin, English

Job type:

Full-time

• Acquire and incubate brands, principals and big merchants that contribute large GMV share.
• Build and maintain relationships with merchants, negotiate and secure the best deals based on campaign or seasonality.
• Discover new collaborative opportunities fit into merchants' short-term and long-term development plan and build JBPs.
• Maintain service quality provided by seller.
• low cancellation and return rate, shipping LT, and other components to increase conversion rate and customer satisfaction.
• Bachelor's Degree or above.
• 3+ years of experience in ecommerce; direct experience in relevant categories preferred.
• Proficient in English and Thai.
• Proficient in Mandarin to communicate with Sellers and Brands across the China market.
• Excellent interpersonal and negotiation skills.
• Attention to detail, affinity with numbers, logical and problem solving skill.
• Strong connections with brands and big sellers are preferred.
• A good team player, fast learner and open to changes.
• Proficient in Excel and ppt.

Skills:

Sales, Negotiation, English

Job type:

Full-time

• Develop and implement sales strategies and action plans to achieve monthly and annual sales targets.
• Monitor daily, weekly, and monthly sales performance and identify opportunities to maximize revenue.
• Lead, motivate, and coach the sales team to achieve individual and team KPIs.
• Manage staff scheduling, manpower allocation, and daily sales activities.
• Ensure excellent customer service and create a positive shopping experience.
• Monitor product performance, stock availability, and inventory movement.
• Handle customer complaints and operational issues effectively.
• Prepare sales reports and provide insights and recommendations to management..
• Bachelor's degree in Business Administration, Marketing, Retail Management, or related fields.
• 5 - 8 years of experience in retail sales, with at least 2 - 3 years in a supervisory or managerial position..
• Experience in lifestyle, fashion, beauty, premium retail, department store, or multi-brand retail is preferred..
• Strong leadership, sales management, and team management skills.
• Strong analytical and problem-solving skills with a commercial mindset.
• Excellent communication, negotiation, and interpersonal skills.
• Able to work 6 days per week and work on a shift basis.
• Good command of English is an advantage.
• Location: Emsphere (BTS Phrom-Phong).

Job type:

Full-time

• บริหารงานด้าน Service ภายในอาคาร เพื่อสร้างประสบการณ์ที่ดีให้ผู้ใช้งาน และสอดคล้องกับมาตรฐานของแบรนด์.
• วางแผนและควบคุม การบำรุงรักษาเชิงป้องกัน (Preventive Maintenance) ให้ระบบต่าง ๆ ในอาคารพร้อมใช้งานอย่างต่อเนื่อง.
• บริหารจัดการ Operation อาคาร ให้มีประสิทธิภาพ ความปลอดภัย และความพร้อมใช้งานสูงสุด.
• ประสานงานและควบคุมโครงการ ปรับปรุงพื้นที่ภายในอาคาร ทั้งด้านโครงสร้าง ระบบประกอบอาคาร และตกแต่งภายใน.
• ติดตามและผลักดัน การปรับปรุงระบบอาคารให้ทันสมัย ตามเทคโนโลยีและแนวโน้มของตลาด.
• วางแผนและพัฒนาศักยภาพของทีมงาน เพื่อเสริมสร้างความเชี่ยวชาญและประสิทธิภาพในระยะยาว.
• วุฒิการศึกษาระดับปริญญาตรีขึ้นไป ในสาขา วิศวกรรมโยธา, เครื่องกล, ไฟฟ้า, บริหารจัดการอาคาร หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ด้าน บริหารจัดการอาคารสำนักงาน, งานระบบวิศวกรรมอาคาร, หรือ Facility Management อย่างน้อย 8 - 10 ปี.
• มีประสบการณ์ในด้าน การบริหารทีมงาน, การควบคุมโครงการ และงบประมาณ.
• เข้าใจระบบประกอบอาคาร เช่น ระบบไฟฟ้า, ระบบปรับอากาศ, สุขาภิบาล, ระบบอัตโนมัติอาคาร (BAS).
• มีประสบการณ์ในการ วางแผนบำรุงรักษาเชิงป้องกัน (Preventive Maintenance) และการปรับปรุงอาคารให้ทันสมัยตามเทคโนโลยี.
• มีทักษะในการประสานงานกับผู้รับเหมา วิศวกรผู้ออกแบบ และหน่วยงานภายในองค์กร.
• มีวิสัยทัศน์ในการพัฒนาอาคารให้สอดคล้องกับความต้องการของผู้ใช้งานและแนวโน้มของตลาด.

Skills:

Market Analysis, Research, Business Development, English

Job type:

Full-time

• Identify, pursue and secure new leasing opportunities across the company's retail properties to drive revenue growth and market expansion.
• Develop and implement strategic leasing plans to maximise occupancy rates and achieve rental income targets.
• Negotiate and close commercial leasing agreements with prospective tenants, ensuring favourable terms for the company.
• Build and maintain strong relationships with existing and potential tenants, property agents and industry partners.
• Conduct market analysis and competitive research to inform leasing strategies and pricing decisions.
• Lead and supervise the leasing team, providing coaching, mentoring and performance management to ensure targets are met.
• Prepare leasing proposals, business plans and financial forecasts to support business development initiatives.
• Monitor market trends, consumer behaviour and retail dynamics to identify emerging leasing opportunities.
• Liaise with internal stakeholders including property management, marketing and finance teams to align leasing strategies with overall business objectives.
• Maintain accurate records of lease agreements, tenant information and leasing performance metrics.
• What we're looking for.
• Minimum 8-10 years of experience in retail property leasing, new business development or commercial real estate.
• Proven track record of successfully securing new leasing contracts and exceeding occupancy and revenue targets.
• Strong negotiation and closing skills with demonstrated ability to build long-term business relationships.
• Excellent market knowledge and understanding of retail trends, tenant requirements and competitive landscape.
• Proficiency in financial analysis, including ability to evaluate lease proposals and rental projections.
• Leadership experience with demonstrated ability to manage, motivate and develop high-performing teams.
• Strong communication skills in English and Thai (written and verbal).
• Exceptional organisational and project management capabilities.
• Bachelor's degree in Business, Real Estate, Finance or related field.
• Experience in the Thai retail market is highly desirable.

Experience:

8 years required

Skills:

Electrical Engineering, Mechanical Engineering, Project Management, Product Design, Recruitment

Job type:

Full-time

Req ID: 138820 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang Summary As the Senior Manager of Front-End Manufacturing Engineering, you will lead the strategic alignment between early-stage product design and mass-production manufacturability for next-generation products and technologies. This role bridges the gap between top-tier chip design partners, internal Hardware engineering teams, and Manufacturing sites. You will be responsible for leading and scaling a team of high-performing engineers, driving SMT and Assembly Process Devel ...

Skills:

Leadership Skill, English

Job type:

Full-time

About WPP Media WPP is the trusted growth partner for the world's leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships - all united by our pioneering agentic marketing platform, WPP Open - we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media in ...

Experience:

5 years required

Skills:

Electrical Engineering, Project Management, Problem Solving, Architecture, Recruitment

Job type:

Full-time

Req ID: 138825 Remote Position: No Region: Asia Country: Thailand State/Province: Chonburi City: Laem Chabang Detailed Description 1. People Management & Team Leadership Talent Development & Mentorship: Directly manage, coach, and mentor a specialized team of Test Hardware and Software Engineers, fostering technical proficiency in advanced diagnostic test development and automated frameworks. Performance Management: Define clear test engineering metrics, KPIs, and deliverables; conduct objective performance evaluations and outline robust engineering career paths. Resource Optimizat ...

Experience:

1 year required

Skills:

Project Management, Power BI, Tableau, English, Thai

Job type:

Full-time

• Oversee cross-functional process enhancement initiatives in supply chain and logistics.
• Execute Lean and Six Sigma programs targeting service, productivity, and cost efficiency.
• Create standardized procedures and best practices across the supply chain network.
• Establish and manage the Supply Chain Center of Excellence.
• Build KPI frameworks and performance dashboards.
• Manage project management governance for WMS/TMS deployments and network optimization.
• Collaborate with internal teams and external logistics partners.
• Lead organizational change management and skill-development initiatives.
• Bachelor's degree in Supply Chain, Engineering, or Business (MBA preferred).
• 10-15 years in Supply Chain, Logistics, Process Improvement, or Transformation roles.
• Demonstrated expertise in retail, FMCG, wholesale, or 3PL sectors.
• Track record with large-scale transformation programs.
• Lean/Six Sigma certification preferred.
• Proficiency in Excel, Power BI, Tableau, ERP, WMS, or TMS systems.
• Strong stakeholder management capabilities.
• Fluency in both Thai and English.

Skills:

Financial Analysis, Risk Management, Negotiation, M&A

Job type:

Full-time

• Cascade and implement all Corporate Finance policies and guidelines related to subordinates and relevant stakeholders to ensure that work practices are aligned with policies.
• Propose, periodically revise, and gain approval on work processes and procedures to ensure efficient operation.
• Develop, propose, obtain approval company's budget.
• Function-related accountabilities.
• New investment and financial plan.
• Provide key recommendations on deal considerations, including structuring, valuation, and negotiation in order to minimize cost of funds and ensure the financial stability of the company.
• Conduct relevant business/financial models to assist with management decision-making and to support M&A, joint venture, asset acquisition, and/or divestment transactions.
• Contribute to financial planning and decision-making at the top executive level to develop and implement financial strategies that are in alignment with the company's long-term business goals.
• Funding plan.
• Manage, monitor, and support management on the development of short-term, medium-term, and long-term fundraising plans, as well as coordination for input in the development of the group's financial strategy and plan to ensure sufficient cash flow to support business operations and new investment.
• Manage, monitor, and provide suggestions on performing analysis on money market performance, trends, and variances, in order to efficiently manage short-term and medium-term investment and to ensure that company is able to adjust sources of funds accordingly for optimal cost in a timely manner.
• Fundraising.
• Manage, monitor, and provide suggestions on planning, executing, and controlling fundraising activities, including BE issuance and/or Bond Issuance to obtain the optimal cost of funds and sufficient funds in a timely manner.
• Manage, control, and monitor relevant activities to ensure high quality and reliability of the information provided to credit rating agencies.
• Liaise key matters with financial institutions for arranging loans, executing loan agreements, managing loan drawdown process, and monitoring covenants to ensure optimal corporate benefit.
• Solidify relationships with financial institutions and investors to ensure long-term partnerships and sustain WHA's image and reputation.
• Financial risk management & Credit management.
• Manage, monitor, and provide suggestions on monitoring domestic and international financial market, analyzing current situation for potential financial impacts and monitoring related financial risks, as well as identification of short-term and long-term financial risk and credit risk (including foreign exchange rate risk and interest rate risk, and risk related to a line of credit) and development of mitigation strategy and plan, to ensure company's financial sustainability and that company can timely adapt.
• Solidify relationships with financial institutions, regulators, and relevant parties in order to ensure smooth operations regarding financial risk management.
• Asset monetization to REIT.
• Manage, monitor, and provide key information to financial advisors, legal advisors, and related parties to ensure necessary requirements are delivered in a timely manner.
• Manage, monitor, and provide recommendations on appraisal value, financial model, and deal structuring as well as manage timeline to ensure the maximization of WHA's benefits.
• Other accountabilities.
• Guide and assist, if needed, junior members in performing their tasks to ensure consistent understanding and ability to perform tasks.
• Review, if needed, assignment completed by junior members to ensure integrity and accuracy of work conducted.
• Perform analysis on benchmarking organizations in order to adopt market best practices into organization.
• Engage in regular meetings/ updates with team members, collect feedback, encourage and promote team spirit.
• Identify/ respond appropriately to high-complex issues, in order to ensure that each issue is efficiently dealt with or escalated to a superior level properly.
• Respond to instructions to undertake specific tasks to assist senior members in the completion of projects or assignments.
• Be accountable for other certain works as assigned from immediate superior level.
• Perform other duties & ad hoc projects as assigned.

Experience:

3 years required

Skills:

Market Research, Recruitment, YouTube

Job type:

Full-time

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

Experience:

6 years required

Skills:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

Job type:

Full-time

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

Experience:

6 years required

Skills:

Financial Reporting, Risk Management, Recruitment, Accounting, Automation

Job type:

Full-time

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

Skills:

Accounts Receivable, Project Management, Risk Management, Data Analysis, Architecture

Job type:

Full-time

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the sa ...

Experience:

4 years required

Skills:

Business Development, Product Development, Market Research, Data Analysis, Negotiation

Job type:

Full-time

• Business Performance: Deliver financial growth objectives for assigned brand(s) or brand segments through the development and implementation of the annual brand plan.
• Market Share: Achievement of defined Nielsen objectives: Market share, penetration/loyalty/ frequency etc.
• New Product Development / Existing Product Development: Complete ownership of all NPD and EPD projects. Starting from development of Strategic Rationale, Business opportunity quantification, Pricing/Sizing Recommendation, Lead concept development/MR, d ...
• Business Development.
• o P&L: Assortment/pricing/visibility by channel to improve GM.
• o Business Growth: Increased Brand penetration/consumption - variant priority, portfolio gaps vs competition by channel/need state, building everyday relevance.
• o Leveraging on ground business: Give strategic direction / Guide the Assistant Brand Manager to leverage the various potential activation areas.
• Brand Strategy.
• o Brand Equity: Own completely including measurement, plot to improve/strengthen and related consumer work/lead MR.
• o Communication: Own and continuously improve the portfolio strategy - identify role of each segment, equity building vs business growth, media strategy including weights across segments - existing portfolio in year and 3 year roadmap, keeping in mind competition as well.
• o Long term strategy: Support the MM in developing the long term strategy for the brand/ segment. Work on long term P&L and frame a strategy for achieving this. Ensure achievement of long term objectives for brand/ segment.
• o Competitor Monitoring: Based on available data analysis and competitor benchmarking present short, medium and long term business threats and development opportunities.
• Marketing Grid: Ownership of Activity Grid Of one's own Brand/Segment, ensuring timely Implementation of the same by working in close coordination with agencies necessary for such execution.
• o Media: Lead communication development for their brand (generating insightful concept, validating the concepts with consumers, getting alignment from all stakeholders on Admap, briefing creative agency, leading discussions with agency on campaign ideas, copy script & storyboard, selecting production house, cost negotiation and finally ensuring agency delivers copy as per agreed storyboard).Ensure that the monthly plans of the media agency are in sync with the agreed principles of the particular brand/segment and are on track.
• o Consumer Promotion: Develop Rationale and identify opportunities by SKU/segment/channel through analysis especially for DBW consumption and share gain.
• o Budgets: Ensure effective deployment of budgets by owning, implementing and tracking of segmental budgets - media plans, promos, on ground. Lead regular reconciliation and investment plot.
• Market Research: Own and lead all MR on bathing including insight development not only for New Product Development but also Business Development Initiatives.
• Maintaining Archives: Archiving all collateral and advertising material with respect to the brand and key competitors.
• Bench Development: Development of the Assistant Brand Manager/Graduate Trainee to Brand Manager level with specific coaching inputs in the areas of Consumer insight development and MR, Media, Brand P&L, Managing marketing budgets.
• Professional Qualification / Experience / Skill.
• Minimum Bachelor degree in Sales & Marketing. MBA in Sales / Marketing is preferred.
• Minimum 4-5 Years of experience in Sales, must be able to demonstrate outstanding marketing skills and potential, developed within an FMCG environment.
• Thorough knowledge of the sales process and has a strong commercial awareness.
• Track record of delivery, goal oriented, sets clear priorities and meets deadlines.
• Positive, initiative driven and motivating influence, sets good examples, is a natural leader.
• Result oriented, entrepreneurial and self-motivating.
• Good planning and organisational ability.
• Strong commercial awareness with an international outlook.
• Ambitious and flexible.
• High level of communication ability and presentation skills.
• Strong analytical skills: ability to define problems, collect details data, analyse and interpret results and recommend changes and improvements.
• Good financial skills and P&L understanding.
• Ability to understand and work within the framework of the overall company strategy and also relevant customer insights.
• Resilient and able to perform under pressure.

Experience:

5 years required

Skills:

Architecture, Leadership Skill, Python

Job type:

Full-time

• Location of CP AXTRA (Head Office) 3-4 Days: https://share.google/V5Q7MuC44FS341Xhx.
• Location of CP AXTRA Lotus's (Nawamin Office) 1 day: https://maps.app.goo.gl/6cHYiNFfwE8EqrFU6.
• Working style.
• 4-5 Days at the office + work from anywhere.
• Accompany senior management on store visits on Saturdays (half-day or full-day, not every week.
• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years.
• of experience in.
• Data Platform Engineering, Data Engineering, Big Data, or AI Platform development,.
• with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.
• Experience with LLM, RAG, AI Chatbots, Agentic AI, Vector Databases, Embedding Pipelines, Feature Store, or Recommendation Systems is highly preferred.
• Experience integrating enterprise applications through REST APIs, event-driven architectures, and microservices.
• Strong understanding of Data Governance, Data Quality, Data Lineage, Metadata Management, Data Security, and Data Observability.
• Experience with Azure, AWS, or Google Cloud Platform is preferred.
• Experience with Git, Docker, Kubernetes, CI/CD, DataOps, MLOps, MLflow, or Infrastructure as Code is an advantage.
• Retail, Wholesale, or E-Commerce industry experience is highly preferred.
• Proven track record in delivering enterprise AI platforms, data platforms, or large-scale analytics solutions.
• Strong analytical thinking, problem-solving, communication, stakeholder management, and leadership skills.
• Passion for building scalable engineering platforms, mentoring teams, and delivering business impact through data and AI.
• CP AXTRA | Lotus's.
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

Experience:

5 years required

Skills:

Software Development, Project Management, Recruitment, Assurance, English

Job type:

Full-time

Who We Are Located in the heart of Bangkok's Phrom Phong District, Sertis is ASEAN's leading Data and AI engineering and solutions company. Since 2014, our advanced solutions and products have powered over 400 enterprise Data and AI deployments at the region's leading companies and conglomerates. We are also a member firm of Andersen Consulting, a global consulting practice integrating business strategy, digital transformation, and AI-driven technology solutions with Andersen Global's world-class expertise. What We Do Sertis provides both productized and bespoke AI and Data solutio ...