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Skills:
Accounting, English
Job type:
Full-time
Salary:
negotiable
- 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..
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Accounting, Data Analysis
Job type:
Full-time
Salary:
āļŋ20,000 - āļŋ25,000, negotiable
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļāđāļēāļāļ§āļīāļāļĒāļēāļĻāļēāļŠāļāļĢāđ, āļāļąāļāļāļĩ āļŦāļĢāļ·āļ āļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Accounting, Oil Accounting āļŦāļĢāļ·āļ āļāļļāļĢāļāļīāļāđāļĢāļāļāļĨāļąāđāļ / āļāļĨāļąāļāļāļēāļ āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- Presentation skill, Infographic, Data analysis, Ai & Digital skill.
- āļāļđāđāļĨāđāļĨāļ°āļāļąāļāļāļķāļāļāđāļāļĄāļđāļĨāļāļēāļĢāđāļāļĨāļ·āđāļāļāđāļŦāļ§āđāļĨāļ°āļŠāļīāļāļāđāļēāļāļāļāļĨāļąāļāļāđāļģāļĄāļąāļ (Oil Movement & Inventory) āļāļąāđāļāļāđāļēāļāļāļĢāļīāļĄāļēāļāđāļĨāļ°āļāļļāļāļāđāļē.
- āļāļĢāļ°āļāļāļĒāļāļāļāđāļāļĄāļđāļĨ Oil Accounting āļĢāļ°āļŦāļ§āđāļēāļāļĢāļ°āļāļāļāļāļīāļāļąāļāļīāļāļēāļĢāđāļĨāļ°āļĢāļ°āļāļāļāļąāļāļāļĩ āļāļĢāđāļāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđ Gain/Loss.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ Oil Accounting āđāļĨāļ°āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļīāļāļāļąāļāļāļĩāļāļĢāļ°āļāļģāđāļāļ·āļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļĨāļ°āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāļēāļ Auditor.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļĨāļ° Presentation āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļāļĢāļ°āļāļąāļāļāļĩāļ§āļīāļ / āļāļĢāļ°āļāļąāļāļāļļāļāļąāļāļīāđāļŦāļāļļ.
- āļāļĢāļ§āļāļŠāļļāļāļ āļēāļāļāļĢāļ°āļāļģāļāļĩ āļ§āļąāļāļāļĩāļāļāļēāļĄāļĪāļāļđāļāļēāļĨ.
- āļāđāļēāļĨāđāļ§āļāđāļ§āļĨāļē (OT).
- āđāļāļĩāđāļĒāđāļĨāļĩāđāļĒāļ.
- āļŠāļ§āļąāļŠāļāļīāļāļēāļĢāđāļāļāļĒāļ·āļāļŦāļĒāļļāđāļ (Flexible Benefits).
Skills:
SQL
Job type:
Full-time
Salary:
negotiable
- BOT (Bank of Thailand) Contact Center for RDT related including new requirement,.
- RDT requirement interpretation.
- Provide RDT Impact assessment for all Krungsri s New Product Initiatives.
- Provide Biz requirement together with Domain expert, data owners and supported functions.
- Support all adhoc requirement.
- Establish and maintain RDT procedure.
- Sign off all the RDT changes, testing and ensure the correct result together with related Domain experts, Data Owners and support functions.
- Provide routine dashboard to all related functions for industry performance.
- Apply now if you have these advantages.
- Bachelor s degree or higher in Computer Science / Management Information System or any related field.
- Experience in Business Analyst / Data Engineer / Data Analyst / Data Governance.
- Experience in regulatory data management,its relationship and dependencies.
- Well-versed in banking industry knowledge and strong in data-related skills for senior / team leader level.
- Well-versed in RDT regulation literacy.
- Well interpersonal skill with IT/Domain Expert/Data Owner.
- Have good understanding in data related skills is a plus (SQL, Analytic, BI tools).
- 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 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.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
Skills:
Legal, Budgeting, Procurement
Job type:
Full-time
Salary:
negotiable
- Lead and mentor officer in the data management team by fostering a culture of accountability, collaboration, and continuous learning.
- Lead the development and implementation of subsurface data policies, standards, and procedures to uphold data quality, security, confidentiality, and regulatory compliance. Provide advice to management team to define, standardize, and optimize workflows for data acquisition, storage, and utilization, ensuring alignment with industry best practices and legal requirements.
- Provide specialized support to asset teams on challenging data requests and software issues. Serve as a subject matter expert for key E&P applications (e.g., Petrel, DGS) and databases.
- Oversee the integration of diverse subsurface data sources - both digital and physical (e.g., seismic surveys, well logs, rock samples) - into corporate systems, ensuring compatibility and accessibility.
- Supervise the establishment and maintaining robust metadata frameworks, hierarchical structures, and indexing strategies to support organized data management and efficient retrieval.
- Monitor and control data access, enforce authorization protocols, and proactively mitigate risks related to data loss, corruption, or unauthorized use.
- Design and manage scalable databases and repositories, including legacy data migration and systematic archiving of historical datasets for long-term reference.
- Drive digital transformation in data management, leveraging automation technologies such as RPA and Al/ML to streamline data ingestion, validation, and reporting processes. Deliver intuitive data tools and visualization platforms that provide actionable insights and support strategic decision-making.
- Continuously evaluate and adopt advanced data management technologies to enhance operational efficiency, scalability, and alignment with evolving business needs.
- Benchmark practices against industry standards, identify opportunities for improvement, and cultivate a culture of continuous learning and innovation within the team.
- Collaborate cross-functionally with geoscientists, IT professionals, and other stakeholders to ensure database solutions meet operational and strategic objectives.
- Support planning and execution of data-related initiatives, including budgeting, procurement, and vendor management.
- Professional Knowledge & Experiences.
- Professional Knowledge.
- Strong foundation in Geographical Information System (GIS) and data management principles including data governance frameworks, quality control methodologies, and metadata standards.
- In-depth knowledge of subsurface data types and formats including well logs, seismic, and geological models.
- Proficient in Oracle and other modern databases (e.g., PostgreSQL, SQL Server, MongoDB, and cloud-native systems).
- Skilled in data modelling, performance tuning, and handling large E&P datasets.
- Knowledge of data security, backup/recovery.
- Familiar with geoscience application integration (e.g., Petrel, and Openwork).
- Experience with ETL tools, scripting (e.g., Python, Shell, and PL/SQL), and automation.
- Understanding of cloud/hybrid data environments and database migration.
- Experience.
- Over 10 years of experience in database administration, including significant work with subsurface data in the oil and gas industry.
- Proven track record in leading data policy and process development, aligning with corporate data governance.
- Experienced in overseeing complex data integration, validation, and archival projects involving structured and unstructured subsurface data.
- Skilled in designing and maintaining geospatial and subsurface data repositories, ensuring data quality and accessibility for technical users.
- Hands-on experience with automation technologies, including RPA, Al, and ML, to optimize data workflows and enhance operational efficiency.
- Strong background in data security, compliance, and risk mitigation, particularly in environments handling sensitive technical data.
- Successfully executed database migrations, upgrades, and modernization initiatives involving both on-prem and cloud platforms.
- Actively evaluates and adopts advanced database and data management tools, ensuring systems remain scalable and fit-for-purpose.
- Collaborate effectively with multi-disciplinary teams, including geoscientists, IT, and management, to support exploration and production operations.
Experience:
7 years required
Skills:
Financial Modeling, Cash Flow Management, English
Job type:
Full-time
Salary:
āļŋ45,000 - āļŋ85,000, negotiable
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ.
- āļāļąāļāļāļģ āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļāļģāđāļŠāļāļāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļ āļāļĨāļāļāļāđāļāļ āđāļĨāļ°āļāļĢāļ°āļĄāļēāļāļāļēāļĢāđāļāļĄāļīāļāļīāļāđāļēāļ āđ āđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāļāļāļēāļāđāļĨāļ°āļāđāļĒāļāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļĨāļēāļāļāļēāļĢāļĨāļāļāļļāļ āļāļąāđāļāđāļāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ āđāļāļ·āđāļ āļāļģāļĄāļē āļāļĢāļ°āđāļĄāļīāļāđāļāļāļēāļŠāđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļēāļāļ°āđāļāļīāļāļāļķāđāļ.
- āļ§āļēāļāđāļāļ āļāļģāļŦāļāļ āđāļĨāļ°āļāļĢāļąāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļāļ āļēāļĒāđāļāđāļāļĢāļāļāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļŦāđāļŠāļēāļĄāļēāļĢāļāļāļāļīāļāļąāļāļīāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ āđāļĨāļ°āļāļąāļāļāļēāļĻāļąāļāļĒāļ āļēāļāļāļĩāļĄāļāļēāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāļīāļĻāļāļēāļāļāļāļāļāļāļāđāļāļĢ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāđāļĨāļ°āđāļŦāđāļāļģāļāļĢāļķāļāļĐāļēāđāļāđāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļ·āđāļ āđ āļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļāļđāđāļāļąāļāļāļąāļāļāļąāļāļāļē.
- āļāļāļīāļāļąāļāļīāļāļēāļāļāļĒāđāļēāļāđāļāļāļĒāđāļēāļāļŦāļāļķāđāļāļŦāļĢāļ·āļāļāļąāđāļāļŦāļĄāļāļāļāļāļāļāļāļēāļāļāļēāļ āļāļąāļāļāļĩāđ.
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāđāļŠāļāļ āļĢāļēāļĒāļāļēāļāļāļēāļĢāļĨāļāļāļļāļāļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļāļāđāļāļĩāđāļĒāļĢāļąāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļĨāđāļ§āļāļŦāļāđāļē 3-5 āļāļĩ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āđāļāļ·āđāļāļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄāļāļāļāļāļĨāļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļāļāļēāļĢāļĨāļāļāļļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāđāļ āļāļāļāļļāļĨ āļāļāļāļģāđāļĢāļāļēāļāļāļļāļ āđāļĨāļ°āļāļāļāļĢāļ°āđāļŠāđāļāļīāļāļŠāļ āđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļŠāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļģāļāļąāļāļāļđāđāļĨāļāļēāļĢāļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāđāļāļīāļ.
- āļ§āļēāļāļāļĨāļĒāļļāļāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļĨāļ°āļāļĨāļāļāļāđāļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļąāļāļāļģāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļĻāļķāļāļĐāļēāđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļ āļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļāļģāļĄāļēāļāļĢāļ°āđāļĄāļīāļāļāļĨāļāļĢāļ°āļāļāđāļĨāļ°āđāļāļāļēāļŠāđāļāļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāđāļāđāļēāļŦāļĄāļēāļĒāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļĢāļāļąāļāļāļĢāļ°āļāļļāļĄāļāļāļ°āļāļāļļāļāļĢāļĢāļĄāļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļēāļĢāļĨāļāļāļļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāđāļēāļāļāļēāļĢāļĨāļāļāļļāļāļāļĒāđāļēāļāļāđāļāļĒāđāļāļĢāļĄāļēāļŠāļĨāļ°āļŦāļāļķāđāļāļāļĢāļąāđāļ āļŦāļĢāļ·āļāđāļĄāđāļāđāļāļĒāļāļ§āđāļēāļāļĩāļĨāļ°āļŠāļĩāđāļāļĢāļąāđāļ.
- āļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāļāļēāļāļāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļąāļāļāļēāđāļĨāļ°āđāļŠāļĢāļīāļĄāļŠāļĢāđāļēāļāļĻāļąāļāļĒāļ āļēāļāļāļāļāļāļĩāļĄ.
- āļāļģāđāļŠāļāļāļĢāļēāļĒāļāļēāļāđāļĨāļ°āļāđāļāđāļŠāļāļāđāļāļ°āļāđāļēāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāđāļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļāļēāļāļēāļĢ āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļ āļāļĢāļīāļĐāļąāļāļŦāļĨāļąāļāļāļĢāļąāļāļĒāđāļāļąāļāļāļēāļĢāļāļāļāļāļļāļ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āļāļĢāļīāļĐāļąāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļāļĢāļąāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļāļāđāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģāđāļĨāļ°āļāļģāđāļŠāļāļ āļĢāļēāļĒāļāļēāļāļĨāļāļāļļāļāļĢāļēāļĒāđāļāļ·āļāļ āļĢāļēāļĒāđāļāļĢāļĄāļēāļŠ āđāļĨāļ°āļĢāļēāļĒāļāļĩ āļāđāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļĨāļāļāļāđāļāļāļāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļāļāļāđāļāļĩāđāļĒāļĢāļąāļ āļĢāļ§āļĄāļāļķāļāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļĨāđāļ§āļāļŦāļāđāļē 3-5 āļāļĩ.
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļ§āđāļāđāļĄāļāļēāļāđāļĻāļĢāļĐāļāļāļīāļ āđāļāļ·āđāļāļāļēāļāļāļēāļĢāļāđāđāļāļ§āđāļāđāļĄāļāļāļāļāļĨāļēāļāđāļĨāļ°āļāļ§āļēāļĄāđāļāđāļāđāļāđāļāđāđāļāļāļēāļĢāļĨāļāļāļļāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāđāļ āļāļāļāļļāļĨ āļāļāļāļģāđāļĢāļāļēāļāļāļļāļ āđāļĨāļ°āļāļāļāļĢāļ°āđāļŠāđāļāļīāļāļŠāļāđāļāļ·āđāļāļāļĢāļ°āđāļĄāļīāļāļŠāļāļēāļāļ°āļāļēāļāļāļēāļĢāđāļāļīāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļāļēāļĢāļ§āļēāļāđāļāļāđāļĨāļāļāļģāļŦāļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ.
- āļāļąāļāļāļģ Financial Forecast, Cashflow Projection āđāļĨāļ° Feasibility Study.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļģāļŦāļāļ āļāļĨāļĒāļļāļāļāđāļāļēāļĢāļĨāļāļāļļāļ āđāļāļĒāļāđāļēāļāļāļīāļāļāļēāļāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļĨāļ°āđāļāļ§āđāļāđāļĄāļāļĨāļēāļ.
- āļāļīāļāļāļēāļĄāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļāļĨāļĒāļļāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāđāļāļīāđāļĄāļĄāļđāļĨāļāđāļēāđāļĨāļ°āļĨāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ S.W.O.T. (Strengths, Weakness, Opportunities, Threats) āđāļāļ·āđāļāļĢāļ°āļāļļāļāļļāļāđāļāđāļ āļāļļāļāļāđāļāļ āđāļāļāļēāļŠ āđāļĨāļ°āļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļāļāļĩāđāļāļēāļāđāļāļīāļāļāļķāđāļ.
- āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄāđāļĨāļ°āļāļēāļĢāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļīāļŦāļēāļĢāđāļĨāļ°āļāļąāļāļāļēāļāļĩāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļŦāđāļĄāļĩāļĻāļąāļāļĒāļ āļēāļāļŠāļđāļāļŠāļļāļ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļ āđāļāđāļ āļāđāļēāļĒāļāļąāļāļāļĩ āļāđāļēāļĒāļāļĢāļīāļŦāļēāļĢāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāļ·āđāļāđāļŦāđāļĄāļąāđāļāđāļāļ§āđāļēāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļāđāļāđāļāđāļāļāļēāļĄāđāļāļāļāļĩāđāļāļģāļŦāļāļ.
- āļāļīāļāļāđāļāđāļĨāļ°āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļ āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļ āđāļāđāļ āļŠāļāļēāļāļąāļāļāļēāļĢāđāļāļīāļ āļāļĢāļ·āļĐāļąāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāļēāļĢāļĨāļāļāļļāļ āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļāļģāļāļąāļāļāļđāđāļĨ.
- āļāļēāļĢāļāļīāļāļāđāļāļāđāļēāļ§āļŠāļēāļĢāđāļĨāļ°āļāļąāļāļāļąāļĒāļ āļēāļĒāļāļāļāļāļĩāđāļŠāđāļāļāļĨāļāđāļāļāļĢāļīāļĐāļąāļ.
- āļāļīāļāļāļēāļĄ āđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļ āļāļĨāļēāļāļāļēāļĢāđāļāļīāļ āđāļĨāļ°āļāđāļĒāļāļēāļĒāļ āļēāļāļĢāļąāļ āļāļĩāđāļāļēāļāļŠāđāļāļāļĨāļāđāļāļāļĨāļĒāļļāļāļāđāļāļēāļĢāļĨāļāļāļļāļāļāļāļāļāļĢāļīāļĐāļąāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļąāļāļāļąāļĒāļ āļēāļĒāđāļāđāļĨāļ°āļ āļēāļĒāļāļāļ āļāļĩāđāļāļēāļāļāļĢāļ°āļāļāļāđāļāļāļĢāļīāļĐāļąāļ āļāļąāđāļāđāļāđāļāļīāļāļāļ§āļāđāļāļīāļāļĨāļ āļāļĢāđāļāļĄāļāļģāđāļŠāļāļāđāļāļ§āļāļēāļāļĢāļąāļāļĄāļ·āļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāļ·āđāļ āđ āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ āđāļāļ·āđāļāđāļŦāđāļŦāļāđāļ§āļĒāļāļēāļāđāļĨāļ°āļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļĨāļāļāđ āļāļĢāļīāļ§āļīāđāļĨāļ āļāļēāļĢāđāļ āļāļģāļāļąāļāļ āļēāļĢāļāļīāļāļāļĩāđāļāļģāļŦāļāļ.
- āđāļāđāļĢāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāļāļļāļāļ§āļļāļāļīāļāļĒāđāļēāļāļāļ·āđāļāļāļĩāđāđāļāļĩāļĒāļāđāļāđāļĢāļ°āļāļąāļāđāļāļĩāļĒāļ§āļāļąāļāđāļāļŠāļēāļāļēāļ§āļīāļāļēāđāļ āļŠāļēāļāļēāļ§āļīāļāļēāļŦāļāļķāđāļ āļāļēāļāļāļēāļĢāđāļāļīāļ āļāļąāļāļāļĩ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āđāļĻāļĢāļĐāļāļŠāļēāļŠāļāļĢāđ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļēāļĢāđāļāļīāļ āļāļēāļĢāļĨāļāļāļļāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļŠāļīāļāļāļĢāļąāļāļĒāđāļŦāļĢāļ·āļāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļĒāđāļēāļāļāđāļāļĒ 7-10 āļāļĩ āđāļĨāļ°āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļĢāļ°āļāļąāļāļāļĢāļīāļŦāļēāļĢ 3-5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļāļāļēāļĢāđāļāļīāļ āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļāļĢāđāļāļāļēāļĢāļĨāļāļāļļāļ āļāļēāļĢāļāļąāļāļāļģāļāļĢāļ°āļĄāļēāļāļāļēāļĢāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļĄāļđāļĨāļāđāļēāđāļāļĢāļāļāļēāļĢ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļāļēāļĢāļāļĨāļēāļāļāļļāļ āļāļĨāļēāļāđāļāļīāļ āđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļēāļĢāļĨāļāļāļļāļāļāļąāđāļāđāļāļāļĢāļ°āđāļāļĻāđāļĨāļ°āļāđāļēāļāļāļĢāļ°āđāļāļĻ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļāļĩāļĄ āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļĩāđāļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāđāļāļĢāđāļāļĢāļĄāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āļāļīāļāļāđāđāļ§āļĢāđāļāļēāļāļāļēāļĢāđāļāļīāļāđāļāđ (āđāļāđāļ SETSMART, SETTRADE Streaming, Bisnews, ThaiBMA Bloomberg, Reuters āļāļ°āļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļīāļāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĢāļīāļĄāļēāļ āđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļē.
- āļāļ§āļēāļĄāļĢāļđāđ āļāļąāļāļĐāļ° āđāļĨāļ°āļŠāļĄāļĢāļĢāļāļ°āļāļĩāđāļāļģāđāļāđāļāđāļāļāļēāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļĢāđāļāļīāļāđāļĨāļ°āļāļēāļĢāļĨāļāļāļļāļ āđāļĄāđāļāđāļāļĒāļāļ§āđāļē 7-10 āļāļĩ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļģāđāļŦāļāđāļ āļāļđāđāļāļąāļāļāļēāļĢ āļŦāļĢāļ·āļ āļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ āļāļĒāđāļēāļāļāđāļāļĒ 3 āļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ° āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļąāđāļāļŠāļđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāđāļāļĢāļĄ Excel, Power BI āļŦāļĢāļ·āļāļāļāļāļāđāđāļ§āļĢāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļĩāđāļĒāļ§āļāļąāļ Financial Modeling, Cashflow Management, āđāļĨāļ° Risk Management.
- āļĄāļĩāļāļ§āļēāļĄāļŠāļēāļĄāļēāļĢāļāđāļāļāļēāļĢāļāļģāđāļŠāļāļāļāđāļāļĄāļđāļĨāđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļīāļŦāļēāļĢāļāļĩāļĄ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļ āļēāļĐāļēāļāļąāļāļāļĪāļĐāđāļāļāļēāļĢāļāļīāļāļāđāļāļŠāļ·āđāļāļŠāļēāļĢāđāļāđāļĢāļ°āļāļąāļāļāļĩ.
- āļāļēāļĄāļāļĢāļīāļĐāļąāļ āđāļāļĒāđāļĨāļāļāđ āļāļĢāļīāļ§āļīāđāļĨāļ āļāļēāļĢāđāļ āļāļģāļāļąāļ āļāļĢāļ°āļāļēāļĻāļāļēāļĄāļāļģāđāļŦāļāđāļāļāļēāļ.
Skills:
Compliance, Legal, Research, English
Job type:
Full-time
Salary:
negotiable
- 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.
Experience:
4 years required
Skills:
Accounting, Negotiation
Job type:
Full-time
Salary:
negotiable
- Act as internal consultant to support strategy development and lead execution of key strategic projects.
- Take ownership of new partnership development, identify, develop and execute plan to align with company strategy.
- Work with head of department to plan and allocate partnership budget across channels.
- Develops and maintains productive working relationships with team members.
- Tracking business performance and create monthly summary report.
- Bachelor s degree in finance, Accounting, Business, IT, Engineer or any related field.
- At least 4 years experience in Business development, Strategic Planning, Financial Planning or related field.
- Experience in consultancy companies Big4 is a plus.
- Customer orientation, self-driven, strong negotiation skills and excellent interpersonal.
- Creative problem solver.
- High proficiency with Microsoft Excel, PowerPoint, understanding of financial.
- report is a plus.
- Location: True Digital Park, Punnawithi.
Skills:
Express
Job type:
Full-time
Salary:
negotiable
- Report Creation: Prepare and compile summary reports for management, presenting key workforce data insights in a clear and concise manner.
- Data Support: Assist in gathering, cleaning, and organizing data to support accurate reporting and dashboard updates.
- Documentation and Coordination: Maintain data-related documentation and coordinate with the data analyst to ensure timely and accurate reporting for decision-making.
- Requirements: Bachelor s degree in Business, Data analytics, Operations Management, or a related field.
- Fresh grad are welcome.
- Proficiency in creating professional summary reports using Google Sheets & Slides.
- Strong ability to ensure data accuracy and present findings clearly and effectively.
- Capable of managing multiple tasks, tracking data updates, and adhering to tight deadlines.
- Ability to convey data insights effectively to management and collaborate with the data analyst.
Skills:
Product Owner, Tableau, Statistical Analysis
Job type:
Full-time
Salary:
negotiable
- 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.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
Skills:
Finance, SAS, SQL
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Excel, Formula, Data Entry
Job type:
Full-time
Salary:
negotiable
- āļāļąāļāļāļķāļāđāļĨāļ°āļāļąāļāđāļāļāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļāđāļāļĢāļ°āļāļ HR āļŦāļĢāļ·āļāđāļāļĨāđāļāļēāļāļāđāļāļĄāļđāļĨāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļĢāļ§āļāļŠāļāļāļāļ§āļēāļĄāļāļđāļāļāđāļāļ āļāļ§āļēāļĄāļāļĢāļāļāđāļ§āļ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļāļāļāļĨāđāļāļāļāļāļāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđ āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ āđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨ HR āđāļāļ·āđāļāļāļāđāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļāļŦāļāđāļ§āļĒāļāļēāļ.
- āļāļąāļāļāļēāđāļĨāļ°āļāļĢāļąāļāļāļĢāļļāļāļĢāļđāļāđāļāļāļāļēāļĢāļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāđāļŦāđāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļĄāļēāļāļāļķāđāļ (āđāļāđāļ āļāļēāļĢāđāļāđ Excel Formula, Macro āļŦāļĢāļ·āļ VBA āđāļāļ·āđāļāļāđāļ§āļĒāļĨāļāļĢāļ°āļĒāļ°āđāļ§āļĨāļēāđāļāļāļēāļĢāļāļģāļāļēāļ).
- āļāļđāđāļĨāļāļēāļĢāļāļąāļāđāļāđāļāļāđāļāļĄāļđāļĨāđāļĨāļ°āđāļāļāļŠāļēāļĢ HR āđāļŦāđāđāļāđāļāļĢāļ°āļāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāđāļāļŦāļēāđāļāđāļāđāļēāļĒ.
- HR Administrationāļāļąāļāļāļģ āļāļđāđāļĨ āđāļĨāļ°āļāļąāļāđāļāđāļāđāļāļāļŠāļēāļĢāļāđāļēāļ HR āļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāļļāļĢāļāļēāļĢāļāđāļēāļ HR āļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ.
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāļĩāđāļĒāļ§āļāļąāļāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļ āļāļēāļāđāļāļāļŠāļēāļĢ āđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāđāļēāļ āđ.
- Data Confidentiality & ComplianceāļāļđāđāļĨāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļāļāļēāļĄāļŦāļĨāļąāļāļāļ§āļēāļĄāļĨāļąāļāđāļĨāļ°āļāđāļāļāļģāļŦāļāļāļāļāļāļāļāļāđāļāļĢ.
- āļāļāļīāļāļąāļāļīāļāļēāļāđāļŦāđāļŠāļāļāļāļĨāđāļāļāļāļąāļāļāđāļĒāļāļēāļĒāđāļĨāļ°āļĢāļ°āđāļāļĩāļĒāļāļāđāļēāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨ (PDPA)āļāļļāļāļŠāļĄāļāļąāļāļīāļāļđāđāļŠāļĄāļąāļāļĢ.
- Qualifications: āļ§āļļāļāļīāļāļēāļĢāļĻāļķāļāļĐāļē āļāļĢāļ°āļāļēāļĻāļāļĩāļĒāļāļąāļāļĢāļ§āļīāļāļēāļāļĩāļāļāļąāđāļāļŠāļđāļ (āļāļ§āļŠ.) āļŠāļēāļāļē āļāļāļĄāļāļīāļ§āđāļāļāļĢāđāļāļļāļĢāļāļīāļ, āđāļāļāđāļāđāļĨāļĒāļĩāļŠāļēāļĢāļŠāļāđāļāļĻ, āļāļēāļĢāļāļąāļāļāļēāļĢ, āļāļēāļĢāļāļąāļāļāļĩ, āļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ HR Administration, āļāļēāļāļāđāļāļĄāļđāļĨāļāļāļąāļāļāļēāļ āļŦāļĢāļ·āļ Data Entry āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđ Microsoft Office āđāļāļĒāđāļāļāļēāļ° Excel āđāļāđāđāļāļĢāļ°āļāļąāļāļāļĩ (āđāļāđāļ āļāļēāļĢāļāļąāļāļāļēāļĢāļēāļ āļāļēāļĢāļāļģāļāļ§āļ āļāļēāļĢāđāļāđāļŠāļđāļāļĢ).
- āļĄāļĩāļāļąāļāļĐāļ°āļŦāļĢāļ·āļāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāđāļāļĩāļĒāļ Excel Macro / VBA āđāļāļ·āđāļāļāđāļ§āļĒāļāļąāļāļāļēāļāļēāļāļāđāļēāļāļāđāļāļĄāļđāļĨāđāļŦāđāļāļģāļāļēāļāđāļāđāļĢāļ§āļāđāļĢāđāļ§āđāļĨāļ°āļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļĄāļēāļāļāļķāđāļ āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāđāļāđāļāļēāļ Power BI āđāļāļĢāļ°āļāļąāļāļāļ·āđāļāļāļēāļ (āđāļāđāļ āļāļēāļĢāđāļāļ·āđāļāļĄāļāđāļāļĄāļđāļĨ āļāļēāļĢāļŠāļĢāđāļēāļāļĢāļēāļĒāļāļēāļāļŦāļĢāļ·āļ Dashboard āđāļāļāđāļĄāđāļāļąāļāļāđāļāļ) āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļąāļāļāļķāļāđāļĨāļ°āļāļąāļāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļĒāđāļēāļāļāļđāļāļāđāļāļ āđāļāđāļāļĢāļ°āļāļ āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĨāļ°āđāļāļĩāļĒāļāļĢāļāļāļāļāļ.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŠāļđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļ āļēāļĒāđāļāđāļāļĢāļāļāđāļ§āļĨāļēāļāļĩāđāļāļģāļŦāļāļāđāļāđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļĢāļ°āļŠāļēāļāļāļēāļāđāļĨāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĩāđāļāļĩ.
- Contact: Samita (Mine) Email: [email protected]
Skills:
Contracts, Compliance, Finance
Job type:
Full-time
Salary:
negotiable
- 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 industryāđ.
- 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.
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
- 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).
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
Job type:
Full-time
Salary:
negotiable
- The Senior Data Engineer position plays a key role in designing, developing, and managing cloud-based data platforms, as well as creating data structures for high-level data analysis, and works with business and technical teams to ensure that data management is appropriate and supports organizational goals.
- Responsible for the design, construction, and maintenance of optimal and scalable data pipeline architectures on cloud platforms (e.g., GCP, AWS, Azure).
- Oversee the development and management of complex ETL/ELT processes for data ingesti ...
- Author and optimize advanced, high-performance SQL queries for complex data transformation, aggregation, and analysis.
- Leverage the Python programming language for automation, scripting, and the development of data processing frameworks.
- Administer and optimize cloud-based data warehouse solutions and associated data lakes.
- Collaborate professionally with data scientists, analysts, and key business stakeholders to ascertain data requirements and deliver effective technical solutions.
- Provide mentorship to junior engineers and champion the adoption of data engineering best practices throughout the organization.
- Bachelor s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
- At least 5 years of experience working in a data engineering or related position.
- Proficient in advanced SQL, including query optimization and performance tuning.
- Experienced in managing and designing architecture on at least one major cloud platform (Google Cloud Platform, AWS, or Azure).
- Skilled in using Python for data processing and advanced pipeline development.
- Experienced with tools and technologies for data ingestion, connectivity, and management.
- Deep understanding of data modeling principles, data warehousing methodologies, and modern data architecture.
- Excellent analytical and problem-solving skills.
- Communication and teamwork skills.
- Ability to plan and manage tasks effectively.
Skills:
ETL, Compliance, SQL
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Legal, English
Job type:
Full-time
Salary:
negotiable
- 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.
Skills:
Risk Management
Job type:
Full-time
Salary:
negotiable
- 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..
- āļāļđāđāļŠāļĄāļąāļāļĢāļŠāļēāļĄāļēāļĢāļāļāđāļēāļāļāļĢāļ°āļāļēāļĻāļāļēāļĢāļāļļāđāļĄāļāļĢāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāļŠāđāļ§āļāļāļēāļāļāļĢāļąāļāļĒāļēāļāļĢāļāļļāļāļāļĨāļāļāļāļāļāļēāļāļēāļĢāđāļāđāđāļāļĒāļāļēāļĢāļāļīāļĄāļāđāļĨāļīāļāļāđāļāļēāļāļĢāļđāļāļ āļēāļāļāļĩāđāļāļĢāļēāļāļāļāđāļēāļāļĨāđāļēāļ.
- āļ āļēāļĐāļēāđāļāļĒ (https://krungsri.com/b/privacynoticeth).
- āļŦāļĄāļēāļĒāđāļŦāļāļļ āļāļāļēāļāļēāļĢāļĄāļĩāļāļ§āļēāļĄāļāļģāđāļāđāļāđāļĨāļ°āļāļ°āļĄāļĩāļāļąāđāļāļāļāļāļāļēāļĢāļāļĢāļ§āļāļŠāļāļāļāđāļāļĄāļđāļĨāļŠāđāļ§āļāļāļļāļāļāļĨāđāļāļĩāđāļĒāļ§āļāļąāļāļāļĢāļ°āļ§āļąāļāļīāļāļēāļāļāļēāļāļĢāļĢāļĄāļāļāļāļāļđāđāļŠāļĄāļąāļāļĢ āļāđāļāļāļāļĩāđāļāļđāđāļŠāļĄāļąāļāļĢāļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļēāļĢāđāļ§āļĄāļāļēāļāļāļąāļāļāļāļēāļāļēāļĢāļāļĢāļļāļāļĻāļĢāļĩāļŊ.
Skills:
Research, Risk Management, Finance
Job type:
Full-time
Salary:
āļŋ35,000 - āļŋ45,000, negotiable
- āļĢāļ§āļāļĢāļ§āļĄ āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢ āđāļĨāļ°āļāļđāļĢāļāļēāļāļēāļĢāļāđāļāļĄāļđāļĨāļāļēāļāđāļŦāļĨāđāļāļāđāļēāļ āđ āļāļąāđāļāļāđāļāļĄāļđāļĨāļ āļēāļĒāļāļāļ (Economic Outlook, Macro & Industry Indicators, Property Market Data) āđāļĨāļ°āļāđāļāļĄāļđāļĨāļ āļēāļĒāđāļāļāļāļāđāļāļĢ (Corporate Performance, Project Performance, Process & Operational Data).
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļāļģ Corporate Strategy / Risk Management āļĢāļ°āļĒāļ°āļŠāļąāđāļ-āļĒāļēāļ§āļāļāļ SC Asset.
- āļāļĢāļ°āđāļĄāļīāļāđāļāļ§āđāļāđāļĄāđāļĻāļĢāļĐāļāļāļīāļāļĄāļŦāļ āļēāļ āļŠāļ āļēāļ§āļ°āļāļĨāļēāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ āđāļĨāļ°āļāļąāļāļāļąāļĒāđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāļĩāđāļŠāđāļāļāļĨāļāđāļāļāļīāļĻāļāļēāļāļāļļāļĢāļāļīāļāļāļāļāļāļāļāđāļāļĢ.
- āļāļąāļāļāļē Framework, Model, Report āđāļĨāļ° Dashboard āđāļāļ·āđāļāđāļāđāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļāļīāļāļāļĨāļĒāļļāļāļāđ āļāļēāļĢāļāļīāļāļāļēāļĄāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āđāļĨāļ°āļāļēāļĢāļāļĢāļ°āđāļĄāļīāļāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāļāļāļāđāļāļĢ.
- āļŠāļąāļāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļŦāļĨāļēāļĒāļĄāļīāļāļī āđāļāļ·āđāļāļŠāļĢāđāļēāļāļĄāļļāļĄāļĄāļāļāđāļāļāļāļāļāđāļĢāļ§āļĄ.
- āļāļąāļāļāļģāļĢāļēāļĒāļāļēāļ Insight āđāļĨāļ° Recommendations āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāļāļāļāļāļāļ°āļāļđāđāļāļĢāļīāļŦāļēāļĢ āđāļĨāļ° Business Units.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāđāļ Strategy Planning, Finance, Business Development, Sales & Marketing āđāļĨāļ° Business Units āļāļ·āđāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļāļāđāļāđāļĨāļ° Business Units āļāļąāđāļāđ āđāļāļ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāļāļāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļēāļ research āļāļąāđāļāļŠāđāļ§āļ market survey, focus group, āđāļĨāļ°āļāļēāļĢāđāļāđāļĄāļēāļāļķāđāļāļāđāļāļĄāļđāļĨāļāļēāļāļ āļēāļĒāļāļāļāļāļąāđāļāļŦāļĄāļ.
- āļāļąāļāđāļāļĢāļĩāļĒāļĄāđāļāļāļŠāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ āđāļĨāļ°āļŠāļĢāļļāļāļāđāļāļĄāļđāļĨāđāļāļĢāļđāļāđāļāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļŠāļģāļŦāļĢāļąāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļāļģāđāļŠāļāļāļāļĨāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđ Insight āđāļĨāļ°āļāđāļāđāļŠāļāļāđāļāļ°āđāļāļīāļāļāļĨāļĒāļļāļāļāđāļāđāļāļāļāļ°āļāļđāđāļāļĢāļīāļŦāļēāļĢ āļāļāļ°āļāļĢāļĢāļĄāļāļēāļĢ āđāļĨāļ°āļāļāļ°āļāļģāļāļēāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļģāļŦāļāđāļēāļāļĩāđāđāļāđāļāļāļĩāđāļāļĢāļķāļāļĐāļēāļāđāļēāļ Data Analytics & Research āđāļŦāđāļāļąāļāļāļĩāļĄ Strategy Planning āđāļĨāļ°āļŦāļāđāļ§āļĒāļāļēāļāļ āļēāļĒāđāļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļāļē Data-driven Culture āļ āļēāļĒāđāļāļāļāļāđāļāļĢ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāđāļ āļŠāļēāļāļēāđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ, āļŠāļāļīāļāļī, Data Science, āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ, āļāļēāļĢāđāļāļīāļ, āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļĻāļēāļŠāļāļĢāđ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Data Analytics, Research, Strategic Analysis āļŦāļĢāļ·āļ Corporate Planning āļāļĒāđāļēāļāļāđāļāļĒ 3 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļāļīāļāļĨāļķāļāļāđāļēāļāđāļĻāļĢāļĐāļāļāļīāļāļĄāļŦāļ āļēāļ āļāļĨāļēāļāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ āđāļĨāļ°āļāļąāļāļāļąāļĒāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļāļąāļāļāļļāļĢāļāļīāļāļāļąāļāļāļēāļāļŠāļąāļāļŦāļēāļĢāļīāļĄāļāļĢāļąāļāļĒāđ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļĨāļ°āđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ āđāļāđāļ Excel, SQL āđāļĨāļ° Business Intelligence Tools (Power BI, Tableau āļŦāļĢāļ·āļāđāļāļĩāļĒāļāđāļāđāļē).
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāđāļāļāļēāļĢāļāļąāļāļāļē Insight āđāļĨāļ°āļāļąāļāļāļģ Recommendation āļŠāļģāļŦāļĢāļąāļāļāļđāđāļāļĢāļīāļŦāļēāļĢāļĢāļ°āļāļąāļāļŠāļđāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļāļēāļĢāļāļģāđāļŠāļāļ āđāļĨāļ°āļāļēāļĢāđāļĨāđāļēāđāļĢāļ·āđāļāļāļāđāļ§āļĒāļāđāļāļĄāļđāļĨ (Data Storytelling) āđāļāļĢāļ°āļāļąāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļāđāļēāļĄāļŠāļēāļĒāļāļēāļ (Cross-functional) āđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāļāļąāļāļāļēāļĢāļŦāļĨāļēāļĒāđāļāļĢāļāļāļēāļĢāļāļĢāđāļāļĄāļāļąāļāđāļāđ.
- āļĄāļĩāļ āļēāļ§āļ°āļāļđāđāļāļģ āļāļ§āļēāļĄāļĢāļąāļāļāļīāļāļāļāļāļŠāļđāļ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāđāļāđāļāļĒāđāļēāļāļāļīāļŠāļĢāļ°āļ āļēāļĒāđāļāđāļāļĢāļāļāļāļāļāđāļāđāļēāļŦāļĄāļēāļĒ āđāļĨāļ°āļāļāļĢāļ°āđāļāļĩāļĒāļāļāļĢāļīāļĐāļąāļ.
Skills:
Quality Assurance, Assurance, Data Analysis, English
Job type:
Full-time
Salary:
negotiable
- Perform daily operational tasks such as quality inspection, guidelines and process optimization, queue assignment, and handling escalations for the evaluation project.
- Work closely with stakeholders to stay updated on guideline developments and provide feedback on implementation and execution.
- Conduct daily audits on an internal system and provide error analysis and feedback to stakeholders (R&D & Product Manager).
- Monitor the quality scores of evaluators and conduct root cause analysis with the management team.
- Monitor project data, record daily output and quality scores, prepare data analysis/reports for projects, and validate reports and data provided to stakeholders/partners.
- Localize the guidelines and design training schedules and coordinate and liaise with key stakeholders to ensure the successful go live within the targeted timeframe.
- Deliver process/product/guideline training to new joiners.
- Play a role in setting up product knowledge tests, sharing result analysis, and working with key stakeholders to improve the product knowledge of the team.
- Completion of Bachelor's degree or above.
- Proficiency in English and Thai as working languages.
- 1 year of experience in Quality Analyst/Quality Assurance, particularly in search engine evaluation.
- Familiarity with search engines, social media algorithms, and SEO.
- Demonstrated computer proficiency with Office software.
- Deep understanding of local culture and internet usage habits.
- Attention to detail and ability to use data analysis to identify trends.
Skills:
ETL, Power BI, SQL
Job type:
Full-time
Salary:
negotiable
- āļĢāļąāļāļāļīāļāļāļāļāļāļēāļĢāļāļāļāđāļāļ Data model āļāļĩāđāļĢāļāļāļĢāļąāļāļāļēāļĢāđāļāđāļāļēāļāļĢāļ°āļĒāļ°āļĒāļēāļ§.
- āļāđāļ§āļĒāļ§āļēāļāđāļāļāļāļēāļĢāļŠāļĢāđāļēāļ Data mart āđāļŦāđāđāļŦāļĄāļēāļ°āļāļąāļ use case āļāđāļēāļāđ.
- āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļĩāļĄ ETL / Data Engineer āđāļāļ·āđāļāļāļąāļ schema, pipeline āđāļŦāđāļāļĢāļāļāļąāļāļāļ§āļēāļĄāļāđāļāļāļāļēāļĢ.
- āļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āđāļāļĨ requirement āļāļļāļĢāļāļīāļāļĄāļēāđāļāđāļ solution āđāļāļīāļāļāđāļāļĄāļđāļĨāđāļāđāļāļĩ.
- āļāļģāļŦāļāđāļēāļāļĩāđāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļāļīāļāļĨāļķāļāđāļŦāđāļāļąāļāļŦāļāđāļ§āļĒāļāļļāļĢāļāļīāļ.
- āļāļāļāđāļāļāđāļĨāļ°āļāļąāļāļāļē Dashboard / Report āļāļ Power BI āļāļĒāđāļēāļ advance.
- āļāļķāļāļāđāļāļĄāļđāļĨāļāļēāļ DWH āđāļāļĒāđāļāđ SQL āļāļĩāđāļāļąāļāļāđāļāļ āļĢāļ§āļĄāļāļķāļāļāļēāļĢāļāļģ data wrangling.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļģāļāļēāļāđāļāļŠāļēāļĒāļāļēāļ Data (BA āļŦāļĢāļ·āļ SA) 5 āļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļāļ āļēāļĐāļē SQL āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāļĩāđāļĒāļ§āļāļēāļ Visualization Tool āđāļāđāļ Power BI āđāļĨāļ°āļŦāļĢāļ·āļ Data tools āļāļ·āđāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāļąāļ Data.
- āļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļ Data Warehouse Concept, ETL āđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļāļąāļāļĐāļ°āļāļēāļĢāļāļāļāđāļāļ Data model, Data Mart.
- āļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°/āđāļāđāđāļāļāļąāļāļŦāļē.
- 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.
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