เงื่อนไขการค้นหา

ทักษะ:

Risk Management

ประเภทงาน:

งานประจำ

• We are seeking an experienced and strategic Responsible AI Specialist to spearhead our commitment to ethical AI. This pivotal role involves developing and implementing our Responsible AI Framework, establishing robust governance procedures, and ensuring compliance with all relevant regulations. You will collaborate across teams to embed ethical principles into the entire AI lifecycle, from development to deployment. As the key authority on responsible AI, you will champion awareness and best practices, shaping our approach to trustworthy and transparent AI systems.
• For the detailed scope of work.
• Develop and implement the Responsible AI Framework in alignment with organizational goals and ethical standards.
• Establish and oversee governance frameworks and procedures for responsible AI practices.
• Collaborate with cross-functional teams to integrate responsible AI principles into AI development and deployment processes.
• Monitor compliance with regulatory requirements and industry standards related to AI ethics and governance.
• Lead training and awareness programs on responsible AI practices for stakeholders across the organization.
• Act as the primary point of contact for inquiries related to responsible AI initiatives and practices.
• Own and maintain AI Model Inventory and Risk framework.
• Apply now if you have these advantages.
• Degree: Master's degree in Ethics, Law, Data Science, IT, or a related field..
• Experience: 7-10 years of experience in AI governance, compliance, or ethics, with a focus on responsible AI practices in banking and financial services..
• Strong understanding of AI ethics, governance, and regulatory frameworks.
• Excellent leadership and management skills, with the ability to influence and drive change across the organization.
• Strong analytical and critical thinking skills to assess AI systems for ethical considerations.
• Excellent communication and interpersonal skills to engage with diverse stakeholders, including technical teams and executive leadership.
• Experience in risk management and compliance, particularly in the context of AI technologies..
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days in office per week).
• Unbelievable benefits such as attractive bonuses and many more..
• Apply now before this role is close. **.
• Please note that we will get in touch with shortlisted candidates only..
• 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).
• 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..
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.

ทักษะ:

Research, Big Data, Full Stack, English

ประเภทงาน:

งานประจำ

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

ทักษะ:

Business Development, Statistics, Analytical Thinking

ประเภทงาน:

งานประจำ

• PTG Energy is looking for a senior data leader to join our Data team, working closely with the CDO and business leaders to drive enterprise business impact through advanced analytics and customer insights.
• This role focuses on applying statistics, data science, and analytical thinking to solve complex business problems-driving growth, customer engagement, and strategic decision-making across PTG s diversified businesses, including Retail, Food & Beverage, Logistics, Services, and Energy.
• Lead high-impact data and analytics initiatives using customer, transaction, and operational data.
• Partner with senior stakeholders to translate advanced analytics into clear, actionable business decisions.
• Contribute to enterprise data & analytics strategy with a strong execution mindset.
• Identify and support new revenue and business opportunities through data-driven insights.
• 7-12 years of experience in data, analytics, or advanced analytics roles (strategy or consulting background is a plus).
• Strong grounding in statistics, data science, and analytical thinking.
• Proven experience delivering measurable business outcomes using data.
• Comfortable influencing senior leaders while remaining hands-on with analytics thinking.
• Backgrounds in Retail, Consumer, Platform, Consulting, or Financial Services are welcome.
• This is a data leadership role with strong business exposure, not a pure strategy or reporting position.
• This role operates as a senior player-coach and works closely with top management.

ทักษะ:

Statistics, Excel, SQL, English

ประเภทงาน:

งานประจำ

• Be the partner with PTG s business teams, understand their data needs, and build plans to address those with intelligent data on time.
• To tell a story and provide insights to the users enabled to make better decision by delivering data solution.
• Use statistical tools to identify, analyze, and interpret patterns, trends and insights in complex data sets that could be helpful for the diagnosis and prediction to support PTG s business.
• Responsible for planning and providing final analysis report for PTG s business to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
• Encourage and collaborate with multiple internal stakeholders to use statistical / analytical tools in planning and decision-making process.
• Bachelor s degree in computer science, data analytics, statistics, economics or related fields.
• Proficient in data analytics tools and other computer programs; MS Word, Excel, PowerPoint etc.
• Excellent communication skill both in Thai and English.
• Experience in programming and SQL.
• Able to work under pressure and with multiple stakeholders within limited timeline.
• Interested in new technologies / innovations.
• Master's degree in a quantitative discipline.
• At least 1-2 years of experience in a similar role preferably with solid knowledge in food & beverage industry, CRM and retail business.
• Experience working on teams that managed large scale data projects.
• Knowledge with Data Science, Advanced Analytics, Machine learning tools, and methodologies.
• Conceptual, logical and physical data modeling, and data architecture knowledge.
• Visualization expertise in tools like Tableau and Power BI etc..
• PTG Energy Public Company Limited.
• 90 CW Tower, Tower A, 33rd Floor, Ratchadaphisek Road,.
• Huaykwang, Bangkok 10310.
• www.ptgenergy.co.th.

ทักษะ:

Accounting, English

ประเภทงาน:

งานประจำ

• Bachelor s degree of Business Administration business, Financial, Economics, Accounting.
• Experience in Banking industry at least 1 years.
• Good command of English.
• FB: Krungsri Career (http://bit.ly/FacebookKrungsriCareer).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

ทักษะ:

Statistics, Excel, Python

ประเภทงาน:

งานประจำ

• Bachelor or Master's degree in Statistics, Engineering, or MIS.
• Experience in Excel VBA, Python, Analytics and Modeling.
• Good in negotiation skill, presentation skill, interpersonal skill.
• Good logical thinking, integrity mindset, external focus and results oriented.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Research, Python, SQL

ประเภทงาน:

งานประจำ

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

ทักษะ:

Compliance, Legal, Research, English

ประเภทงาน:

งานประจำ

• Support engagement with relevant government agencies (e.g., energy regulators, local planning and zoning authorities) in coordination with senior GR and project leads.
• Track and summarize relevant legislation, regulations, and industry standards (e.g., data privacy, energy use, cybersecurity, land use) that may impact data centre projects, and support internal advocacy positions on local policies affecting data centre development and operations (e.g., tax incentives, energy supply agreements).
• Ensure all project planning, documentation, and execution are compliant with nationa ...
• Stakeholder Coordination & Communications Support.
• Support day-to-day coordination with government counterparts, regulatory staff, and local stakeholders under the guidance of senior leads.
• Prepare briefing materials, talking points, and presentation decks for meetings with government bodies, highlighting project scope and key benefits.
• Help maintain stakeholder contact lists, meeting records, and follow-ups to ensure continuity and consistency of engagement.
• Research, Documentation & Reporting.
• Manage the submission and tracking of all required governmental documents, ensuring accuracy and timely delivery.
• Prepare project dashboards, status reports, and executive briefings for leadership and stakeholders.
• Document processes, lessons learned, and best practices to support knowledge-sharing across future projects.
• Identify and proactively manage regulatory and political risks that could cause project delays or cost overruns and flag issues early to senior stakeholders.
• Coordinate responses to government inquiries, audits, or compliance issues related to the data centre projects in coordination with Legal, GR, and project teams.
• Track action items and mitigation steps related to regulatory and government-facing issues.
• Strong project management and coordination skills, with experience supporting complex, multi-stakeholder projects; PMP/PRINCE2 certification is a plus but not required.
• 5+ years dedicated professional experience with policy advocacy.
• Good understanding of public policy and regulatory issues relevant to large technology, infrastructure, or data-driven businesses (e.g., data privacy, energy policy, land use, cybersecurity), with the ability to translate policy developments into project implications.
• Excellent Thai and English fluency, both written and spoken as this person would need to work with internal & external stakeholders and conduct research for policy developments in both languages.
• Strong research, analysis, and writing skills, with the ability to synthesize complex regulatory or policy information into clear briefings, dashboards, and executive-ready materials.
• Deep experience working across multiple functions, influencing, and collaborating with others to successfully implement programs and initiatives; history of successful cross-functional team and leadership collaboration.
• Preferred Qualifications.
• Working knowledge of data centre operations and infrastructure, or strong experience in adjacent infrastructure sectors (e.g., energy, telecoms, industrial projects), with the ability to learn technical concepts quickly.
• Outstanding judgment, persuasive and advocacy skills, creativity, and the ability to work in a dynamic, fast-paced, and often uncertain environment.
• Excellent stakeholder management and communication skills.
• Highly organized and detail-oriented, capable of managing multiple workstreams, documentation requirements, and deadlines simultaneously.
• Strong teamwork and communication skills: the individual will need to work with other departments including, but not limited to policy/legal/communications staff to assess needs, alignment and path for collaboration.
• Discipline, strong sense of responsibility and self-drive with a strong sense of ownership and accountability for assigned responsibilities.

ประเภทงาน:

งานประจำ

• ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กรและเพิ่มประสิทธิภาพในเรื่องต่างๆ เช่น: การตรวจสอบและลดปัญหา Frauded, การวางแผนเพื่อ Optimization.
• สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI.
• สร้างแบบจำลองทางสถิติ / Machine Learning สำหรับวิเคราะห์ เช่น Sales Forecast, Fuel Consumption T_rends, Customer Segmentation หรือ Anomaly Detection.
• แปลง Pain Point ทางธุรกิจให้เป็นโจทย์วิเคราะห์ข้อมูล และนำเสนอ Insight ที่ actionable และ measurable.
• ร่วมกำหนด KPI และวาง Data Strategy ร่วมกับทีมธุรกิจและน้องๆ ในทีม.
• ถ่ายทอดผลการวิเคราะห์ให้ทีมปฏิบัติการเข้าใจง่าย พร้อมแนวทางการแก้ปัญหาที่นำไปใช้ได้จริง.
• ปริญญาโทขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 5-10 ปี โดยเฉพาะในบริบทธุรกิจจริง เช่น retail, logistics.
• เชี่ยวชาญการสร้าง Dashboard ด้วย Power BI, Tableau หรือเครื่องมือใกล้เคียง.
• มีทักษะเขียนโปรแกรมและวิเคราะห์ข้อมูลด้วย Python, R, SQL.
• มีความรู้เรื่อง Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, PyTorch ได้.
• มีประสบการณ์ในการทำ Forecasting, Clustering และ Predictive Analytics.
• มีทักษะการคิดเชิงวิเคราะห์สูง สามารถเชื่อมโยงข้อมูลกับบริบทธุรกิจได้ดี.
• หากมีประสบการณ์กับ Cloud Platform เช่น AWS, GCP, Azure จะได้รับการพิจารณาเป็นพิเศษ.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Statistics, Python, SQL

ประเภทงาน:

งานประจำ

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

ประเภทงาน:

งานประจำ

• Work with management to prioritize business strategies and information needs.
• Design analysis report to track and monitor performance and validate Accuracy of Data.
• Provide sales, marketing, product, and customer analysis toward marketing calendar / business situation / campaign performance in various business measurements combining with consumers research for supporting business strategy.
• Understand, interpret data and provide business insight in order to support management to develop strategy / plan to support new business opportunity.
• Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
• Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational policies.
• Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings.
• Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Leverage analytics and data science teams for actionable insights, algorithms, test designs and model validation.
• Present insights to executive leaders/ business partners to drive strategic improvement and support key business decisions.
• Educate cross-functional parties and build awareness on how to interpret the data and analytics to drive decision making that will move the business forward.
• At least 7 years working experience in related field (having working experience in retail or e-commerce is a plus).
• Basic knowledge of BI/ App analytics platforms such as Google Analytics, Firebase, AppsFlyer, Adobe Marketing Cloud, Tableau, Power BI, Data Studio, etc.
• SQL proficiency or equivalent.
• Good knowledge of computer literacy especially MS Excel and PowerPoint.
• Excellent command of English and presentation skill, Analytical and logical thinking is a must.

ประเภทงาน:

งานประจำ

• Conceptualizing and executing trade promotions and rolling out impactful in-store campaigns in collaboration with marketing and sales teams.
• Developing and implementing trade marketing strategies to increase brand visibility and drive sales.
• Collaborating with sales teams to identify market trends and opportunities for product promotion.
• Creating and executing trade marketing campaigns and promotions to support product launches and achieve sales targets.
• Monitoring and analyzing sales data to evaluate the effectiveness of trade marketing initiatives.
• Building and maintaining strong relationships with key trade partners and distributors.
• Coordinating with cross-functional teams, including marketing, sales, and supply chain, to ensure seamless execution of trade marketing activities.
• Analyzing and recommending brands/channel combinations to maximize sell-out and profitability.
• Bachelor s degree in marketing, business administration, or a related field.
• Previous experience in trade marketing or sales, preferably in the consumer goods industry.
• Strong analytical skills and ability to interpret market data and trends.
• Proficiency in Microsoft Excel.

ทักษะ:

Product Owner, Tableau, Statistical Analysis

ประเภทงาน:

งานประจำ

• Understand Business Needs & Define Data Requirements
• Meet with business teams to understand their challenges and goals.
• Work closely with the Data Product Owner (Data PO) to translate business needs into data requirements.
• Identify key metrics to measure success.
• Support the Data PO in documenting business needs and ensuring the right data is collected..
• Work with Data & Generate Insights
• Gather, clean, and analyze data from multiple sources to ensure accuracy.
• Identify trends, patterns, and anomalies in the data.
• Use visualization tools (e.g., Tableau) to present findings in an easy-to-understand format.
• Apply statistical analysis and basic machine learning techniques (if required)..
• Collaborate with the Data Squad
• Work side-by-side with the Data Product Owner (Data PO) to ensure data solutions align with business needs.
• Coordinate with Data Engineers to structure and optimize data pipelines.
• Align with Data Governance teams to ensure compliance and data quality.
• Engage with Data Scientists if advanced analytics or AI/ML models are needed for a project.
• Ensure all stakeholders (business teams, IT, and analytics) work together effectively..
• Support Business Users in Making Data-Driven Decisions
• Assist business teams in using self-service dashboards and reports.
• Help non-technical users understand and interpret data insights.
• Provide training and support on analytics tools..
• Present & Communicate Insights
• Summarize findings and insights in clear and structured reports.
• Support the Data PO in preparing presentations and visualizations for business decision-making.
• Share insights in a way that is simple and actionable for business teams..
• Continuously Learn & Improve
• Stay updated on the latest tools and trends in data analytics.
• Improve processes for better data efficiency and accuracy.
• Experiment with new techniques to enhance business impact..
• Apply now if you have these advantages.
• 1-4 years of experience in data analysis, business intelligence, or related fields.
• Experience working in a data-driven environment (data analytics lifecycle including problem identification, measurement/matrix, exploratory data analysis and data insight presentation) with business stakeholders.
• Data Analysis & Visualization - Experience with Tableau, Power BI, Qlik, or other BI tools.
• SQL Proficiency - Ability to query and manipulate data efficiently.
• Basic Data Processing - Experience with data extraction, cleansing, and transformation.
• Statistical Analysis - Ability to apply basic statistical techniques for insights..
• Exposure to cross-functional teams involving data engineers, data scientists, and business users.
• Experience in banking or financial services is a plus but not mandatory.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (2 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• 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..
• 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).

ทักษะ:

ETL, Compliance, SQL

ประเภทงาน:

งานประจำ

• Design, implement, and manage end-to-end data pipelines architectures.
• Configure and maintain data ingest workflows (ETL) across several production systems.
• Transform data into Data Mart, Data Model that can be easily analyzed.
• Ensure data accuracy, high usability, timely availability, and strong performance.
• Demonstrate a hands-on development mindset with a willingness to troubleshoot and solve complex problems.
• Ensure compliance with data governance and security policies.
• Minimum of 3 years of work experience as a Data Engineer.
• Strong SQL skills with knowledge of NoSQL tools and languages.
• Strong proficiency in Python scripting.
• Experience with AWS Cloud Data Platform services such as S3, Redshift, Glue, Step Functions, and Lambda.
• Experience with other cloud data platforms such as GCP or Azure is an advantage.
• Experience working on Big Data platform is an advantage.
• Strong business understanding, with the ability to identify business problems, define business goals, and locate relevant data.

ทักษะ:

Contracts, Compliance, Finance

ประเภทงาน:

งานประจำ

• Lead Data Product is responsible for owning and driving the strategic design, development, and lifecycle management of enterprise Bank-wide Data Products. The role ensures that data across domains is reliable, governed, high-quality, and aligned with organizational objectives. This position leads to cross-functional collaboration between business, data engineering, governance, and architecture teams to deliver scalable and value-driven Data Products on the enterprise data platform.
• Build Lead complex requirement discovery workshops across multiple business units.
• Translate business processes into domain/sub-domain models and data contracts.
• Define Critical Data Elements (CDEs), canonical models, and transformation logic.
• Ensure metadata completeness, lineage traceability, classification, and compliance readiness.
• Drive adoption of governance standards across the domain.
• Oversee end-to-end delivery from requirements design, mapping, implementation, testing, production.
• Validate pipeline logic, data transformation. And work closely with Data Engineering, application owner teams.
• Serve as the primary decision-maker for the domain s Data Products.
• Conduct presentations, stakeholder alignment, and conflict resolution.
• Work with downstream consumers (analytics, regulatory, risk, finance, operations)..
• Apply now if you have these advantages.
• Bachelor or Higher qualifications within a relevant field (Computer/Data Science, Computer Engineer, Finance, etc.).
• At least 8-12 years in Data Engineering, Business Analyst, Data Analytics.
• At least 3-5 years in the banking industryใ.
• Experience in designing or owning enterprise-grade Data Products.
• Experience working with multiple stakeholders, complex data flows, and cross-functional teams.
• Strong knowledge of modern data platforms (DWH, Data Lake, Lakehouse, Data Mesh).
• Deep understanding of data modeling (Conceptual/Logical/Canonical).
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Ability to read, review, and design mapping sheets, rulebooks, and architecture diagrams.
• Able to validate and challenge data pipeline logic.
• Strong stakeholder leadership and negotiation skills.
• Excellent communication for both technical and non-technical audiences.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.
• Enterprise Bank Wide, Finance, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage..
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days minimum in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Strong knowledge of modern data platforms (DWH, Data Lake, Lakehouse, Data Mesh).
• Deep understanding of data modeling (Conceptual/Logical/Canonical)..
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• 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..
• 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).

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Statistics, GraphQL, SQL

ประเภทงาน:

งานประจำ

• Bridging business requirements with technical feasibility across multiple domains.
• Translating ambiguous business problems into clear technical specifications and data models.
• Working end-to-end: requirement gathering, solution design, modeling, API/services, and platform integration.
• Communicating with cross-functional teams (domain experts, business, data, infra, product).
• Turning business objectives into data-driven solutions with clear problem statements and measurable outputs.
• Handling messy, incomplete, or unstructured data and transforming it into usable features or insights.
• Deploying models into production with reliability, performance, and maintainability.
• Integrating ML solutions into full-stack systems (APIs, backend logic, dashboards).
• Qualifications:Bachelor/Master/Doctorate degree in Computer Engineering, Computer Science, Statistics, Applied Science, or related fields (Bachelor G.P.A. > 2.70, Master G.P.A. > 3.30).
• 3-5 years of experience as a Data Scientist or related roles.
• Experience in Data Science & Machine Learning, NLP, LLM & RAG, Software Engineering & Systems, and Business & Analytical Competencies.
• Skilled in algorithms and data structures, clean OOP-based architecture, REST/GraphQL APIs, SQL/NoSQL databases, and cloud platforms (AWS/GCP/Azure).
• Good communication, coordination, and problem-solving skills.
• Willing to work in an on-site mode at SCG Headquarters, Bangsue, Bangkok.
• Contact: Pupat (Mac) Email: [email protected]

ทักษะ:

ETL, Power BI, SQL

ประเภทงาน:

งานประจำ

• รับผิดชอบการออกแบบ Data model ที่รองรับการใช้งานระยะยาว.
• ช่วยวางแผนการสร้าง Data mart ให้เหมาะกับ use case ต่างๆ.
• ทำงานร่วมกับทีม ETL / Data Engineer เพื่อจัด schema, pipeline ให้ตรงกับความต้องการ.
• สื่อสารและแปล requirement ธุรกิจมาเป็น solution เชิงข้อมูลได้ดี.
• ทำหน้าที่วิเคราะห์ข้อมูลเชิงลึกให้กับหน่วยธุรกิจ.
• ออกแบบและพัฒนา Dashboard / Report บน Power BI อย่าง advance.
• ดึงข้อมูลจาก DWH โดยใช้ SQL ที่ซับซ้อน รวมถึงการทำ data wrangling.
• มีประสบการณ์ทำงานในสายงาน Data (BA หรือ SA) 5 ปี.
• มีความเชี่ยวชาญภาษา SQL เป็นอย่างดี.
• มีความเชี่ยวชาญ Visualization Tool เช่น Power BI และหรือ Data tools อื่นๆที่เกี่ยวกับ Data.
• มีความรู้ความเข้าใจใน Data Warehouse Concept, ETL เป็นอย่างดี.
• ทักษะการออกแบบ Data model, Data Mart.
• ทักษะในการวิเคราะ/แก้ไขปัญหา.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• DIGITAL AND TECHNOLOGY SERVICES CO., LTD.
• F.Y.I Center 2525 Rama IV Rd, Khlong Tan, Khlong Toei, Bangkok 10110.
• MRT QSNCC Station Exit 1.

ทักษะ:

SAP, Finance, Accounting, English

ประเภทงาน:

งานประจำ

• Engage clients in workshops and interviews to analyze process and reporting requirements.
• Advise clients on industry/ cross-industry leading practices. Advise clients on SAP recommended processes and functions.
• Design target state SAP solutions for clients. Influence clients thinking in adopting leading/ standard practices while developing target state.
• Analyze application landscape to design interfaces to SAP solution.
• Perform SAP configuration and tests. Develop specifications for development of forms/ reports/ interfaces.
• Lead the consultant and client teams through the implementation cycle including planning and execution of testing, migration and cutover.
• Support change management execution by developing training material, delivering training and supporting users post cutover.
• Develop relationships with internal and external stakeholders.
• Your role as a leader
• At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Managers across our Firm are expected to:Drive vision and blueprint for target state business and solution architecture.
• Take accountability for excellence in design and execution Data Migration solution.
• Provide thought leadership and be recognized as the design authority in your functional and industry domains.
• Engage client leadership to understand their vision and transformation agenda. Lead the engagement team to assist client in achieving the same.
• Take ownership of execution excellence. Drive/ mentor engagement teams to deliver engagements.
• Build relationships with client leadership, and lead on-going business and account development activities.
• Lead pursuit teams focused on new opportunities, and lead major aspects of the proposal development process.
• Coach, lead and support delivery teams and staff.
• Provide input and actively participate in recruitment and retention activities.
• Requirements:Bachelor or Master s degree in Finance and Accounting, Information Technology, Business Admistrative or relevant field, supported by relevant experience.
• Minimum of 10+ years of post-qualification experience working with SAP Functional modules by completed at least 8 end to end full life cycle of SAP implementations.
• Working experience in Consulting firms is most preferred.
• Experience in leading Data Migration among each modules from both functional and technical is a must.
• Experience with S4/Hana is a big plus.
• Deep and wide experience in SAP led transformation programs in diverse industries.
• Broad understanding and appreciation of emerging business and technology paradigms.
• Demonstrated ability to engage client stakeholders on a range of issues.
• A self-motivated individual with ability to chart his/ her route to success.
• Ability to provide situational leadership to engagement teams, and coaching/ mentorship to team members.
• Value driven, inclusive individual committed to client service excellence.
• Willingness to work outside of office base and most of all.
• An appreciation of the consulting lifestyle and ability to travel (both locally and abroad) is a pre-requisite to fit to our short-term and long-term project assignments.
• Good command of English communication.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 112940In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

ทักษะ:

Finance, SAS, SQL

ประเภทงาน:

งานประจำ

• Bachelor and/or Master Degrees in Computer Science, Information Technology, MIS or related fields.
• Minimum 5 years of working experience in Banking or Financial Institutions.
• Minimum 5 years of working experience in MIS/Business Analysis functions.
• Experience in Consumer Finance products e.g. Credit card, Sale Finance and Personal Loan.
• Good in Database and Data Warehouse Knowledge.
• Strong in programming skill especially SAS, PL/SQL, R, Python.
• Strong in analytic, data visualization, reporting software such as SAS, Tableau, SQL, Business Objects, Cognos and related software.
• Strong comprehensiveness in Microsoft Office such as MS Word, MS Excel, MS Access, and MS PowerPoint.
• 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.
• (https://krungsri.com/b/privacynoticeen).
• 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.
• Only shortlisted candidates will be contacted"
• FB: Krungsri Career.
• LINE: Krungsri Career.

ทักษะ:

Legal, English

ประเภทงาน:

งานประจำ

• Partner with your assigned business unit(s) and ensure a deep understanding of business strategy and implement high-quality HR practices within the team.
• Consult with line management and provide HR guidance when appropriate, including talent development, performance management, and employee relations.
• Proactively assess team and employee development needs, make recommendations, and implement appropriate solutions.
• Manage employee disciplinary issues and provide advice to business leaders on ways to manage each case.
• Integrate and partner with HR colleagues in the Learning & Development, Compensation & Benefits, HR operations, and other HR teams to implement solutions.
• Drive employee engagement agenda for the employees in your business unit(s).
• Be the ambassador of TikTok organizational culture.
• Plan and implement organizational cultural activities.
• Bachelor s degree or above.
• 3+ years of Human Resources Business Partner in a high-growth company.
• Current or prior experience in technology, internet, or digital platform organizations, supporting fast-growing, large-scale operations in high-ambiguity legal or regulatory environments.
• Proven experience owning end-to-end HR support for large employee populations (100+ employees), including leading or acting as a key contributor to enterprise-level performance management processes (e.g. performance reviews, calibration, PPRA-type forums) across multiple markets, as well as complex organizational and workforce changes at scale.
• Excellent written and spoken business English, used as the primary working language in regional stakeholder and decision-making forums.