AVAILABLE JOBS

Responsibilities:

Strategic Human Resources Management

• Drive HR strategies to align with the company’s goals and business direction.

• Oversee compliance with HR policies, procedures, and best practices.

• Review and verify employment documents, contract renewals, and employee offboarding records.

• Manage disciplinary actions, including investigation committees, warning letters, and attendance monitoring.

Employee Engagement & Well-being Programs

• Lead initiatives to enhance employee engagement and participation.

• Monitor and report the results of health promotion programs and creative engagement activities within the organization.

• Communicate internal policies and contribute to building a positive work environment.

Exit Process Management

• Conduct Exit Interviews and analyze statistical data related to employee turnover.

• Utilize insights to improve HR policies and management approaches to strengthen retention and reduce turnover rates.

Employee Welfare

• Oversee company welfare programs, including onsite infirmary, compensation fund, social security, hospital visit support, wedding/funeral benefits, disaster relief, and ordination support.

HR Policies & Compliance

• Develop and update HR regulations, policies, employee handbooks, and official announcements to ensure relevance and compliance with organizational needs.

• Manage disciplinary procedures, including investigation committees, warning issuance, and absenteeism tracking.

Labor Standards & Workplace Safety Coordination

• Implement and monitor compliance with labor standards such as the White Factory Project, Thai Labor Standard (TLS 8001), and workplace drug-prevention programs.

• Coordinate with internal and external agencies to ensure adherence to labor laws and safety standards.

Qualifications:

• At least bachelor’s degree in HR, Political Sciences, Public Administration or related field.

• At least 7 - 10 years experiences in Human Resource Business Partner, or HRM.

• Strong knowledge of HR policies, labor laws, and employee disciplinary procedures.

• Experience in employee engagement activities, welfare administration, or HR compliance is an advantage.

• Proficient in MS Office i.e. Word, Excel, Power Point, Outlook especially in Excel.

• Experience in employee engagement activities, welfare administration, or HR compliance is an advantage.

• Analytical skills and proficiency in data analysis tools and techniques.

Responsibilities:

• Identifying and assessing legal risk, and providing advice on legal and regulatory matters, with an emphasis on compliance and data privacy requirements.
• Reviewing company systems and processes and assisting with the development and documentation of compliance and privacy policies and procedures.
• Managing litigation matters and conducting internal investigations.
• Negotiating, reviewing, drafting, and providing advice on various company documents, including contracts, warranties, and terms and conditions.
• Maintaining a focus on being responsive and a value-add to the company’s business units and support services.
• Providing assistance on various legal affairs and undertaking other duties reasonable and consistent with the position and as needed.

Qualifications:

• Male/Female, age 40-45 years old, Thai Nationality ONLY.
• Bachelor or higher in Law.
• At least 15 years of experience in legal field, preferably experience from the advisory, international law firm or in house corporate lawyer, business law.
• Strong interpersonal and leadership skill with analytical thinking and initiative
• Lawyer license is required
• Good command of English

Key Responsibilities

1. Team Leadership & Development

•     Recruit, lead, and develop the Business Analytics team

•     Set clear goals, conduct performance reviews, and build individual development plans for each team member

•     Create a culture of curiosity, data literacy, and continuous improvement within the team

•     Mentor team members in coding, AI, and data engineering best practices

2. Analytics Strategy & Architecture

•     Define and own the Business Analytics roadmap aligned with the NCC Strategy

•     Design NCC’s end-to-end data architecture: ingestion, storage, transformation, and delivery

•     Evaluate and adopt best-in-class tools and platforms for data warehousing, BI, and AI analytics

•     Establish data governance standards: data quality, lineage, cataloging, and access control

3. AI & RAG System Development

•     Lead the design and implementation of AI-powered analytics solutions using LLMs and RAG pipelines

•     Build and maintain organizational knowledge bases using vector databases and embedding models

•     Develop RAG-based Q&A systems that allow business users to query NCC data in natural language

•     Integrate LLM APIs (OpenAI, Azure OpenAI, Anthropic Claude) into internal analytics workflows

•     Define AI governance policies including responsible use, output validation, and privacy safeguards

4. Data Engineering & Coding

•     Architect and oversee production-grade ETL/ELT pipelines using Python, SQL, and cloud platforms

•     Review and approve code written by the team; enforce coding standards, testing, and documentation

•     Build reusable data models, APIs, and automated reporting pipelines that scale with NCC’s growth

•     Ensure all analytics systems are version-controlled, tested, and deployed through CI/CD workflows

5. Business Intelligence & Insights Delivery

•     Own the development of executive dashboards and KPI frameworks across NCC’s departments

•     Translate ambiguous business questions into structured analytical problems and clear deliverables

•     Present data-driven insights and recommendations to senior leadership and department heads

•     Partner with ITD Digital & Application and IT Operations teams to integrate analytics into products

6. Stakeholder Management

•     Act as the primary analytics partner for department heads, finance, operations, HR, and marketing

•     Facilitate data literacy workshops and training for non-technical business users across QSNCC

•     Define SLAs for analytics requests and manage expectations with business stakeholders

•     Represent Business Analytics in ITD steering committees and executive reviews
 

Qualifications:

Education

•     Bachelor’s degree (required) in Computer Science, Data Science, Statistics, Information Technology, or a related field

•     Master’s degree in Data Science, Artificial Intelligence, Business Analytics, or MBA (optional)

•     Relevant certifications: Microsoft Azure Data Engineer, AWS ML Specialty, Google Professional Data Engineer, or equivalent (preferred)

Experience

•     Minimum 3-5 years of hands-on experience in data analytics, data engineering, or a related field

•     Minimum 1 years in a team lead, senior, or management role overseeing analytical or technical staff

•     Demonstrated experience building and deploying AI/ML or LLM-based solutions in a production environment

•     Proven track record designing and operating RAG pipelines with vector databases at scale

•     Experience working in hospitality, venue management, events is advantageous

Coding & Engineering

•     Advanced Python programming: pandas, numpy, FastAPI, asyncio, pytest — confirmed through portfolio or technical assessment

•     Advanced SQL across multiple dialects (MySQL, PostgreSQL, MSSQL) including query optimization and database design

•     Experience with cloud data platforms: Azure Synapse, Databricks, AWS Redshift, or Google BigQuery

•     Working knowledge of JavaScript or TypeScript for API and lightweight front-end data integrations

•     Strong Git discipline: branching, pull requests, code reviews, and CI/CD pipelines for data products

AI & Machine Learning

•     Hands-on experience integrating LLM APIs into business workflows (OpenAI, Azure OpenAI, Gemini, Anthropic Claude)

•     Experience with machine learning model development: classification, regression, forecasting using scikit-learn or similar

•     Prompt engineering expertise: designing, testing, and iterating prompts for consistent and reliable outputs

•     Familiarity with model evaluation metrics, A/B testing for AI features, and production model monitoring

RAG & Knowledge Systems (Required)

•     Demonstrated experience building Retrieval-Augmented Generation (RAG) pipelines end-to-end

•     Practical knowledge of vector databases: Pinecone, Weaviate, ChromaDB, Qdrant, or pgvector

•     Experience with embedding models (OpenAI Ada, HuggingFace Sentence Transformers) and similarity search

•     Proficiency with orchestration frameworks: LangChain, LlamaIndex, or equivalent

•     Ability to design chunking strategies, document ingestion pipelines, and retrieval evaluation using RAGAS or similar frameworks

•     Understanding of hybrid search (dense + sparse retrieval), re-ranking, and context window management

Responsibilities:

• Lead and manage employee development programs, including talent development and succession planning.
• Design and execute employee engagement initiatives to improve organizational culture and employee satisfaction.
• Oversee and enhance internal communication strategies to ensure clear, effective, and consistent messaging across the organization.
• Develop and implement competency frameworks and development plans aligned with business goals.
• Analyze and manage employee feedback and engagement data to drive actionable improvements.
• Collaborate with leadership to identify organizational development needs and deliver strategic HR solutions.
• Prepare reports, track KPIs, and ensure all initiatives meet defined objectives.
• Perform other duties as assigned.

Qualifications:

• Bachelor’s degree or higher in Human Resources, Human Resource Development, or related fields.
• Minimum 10 years of experience in HR, with a strong focus on Employee Development and Engagement.
• Proven experience in managing large-scale HR projects and initiatives.
• Excellent command of English (both written and spoken).
• Strong knowledge of Employee Engagement, Internal Communication, Competency Development, and Talent & Succession Planning
• Excellent leadership, project management, and strategic thinking skills.
• Strong analytical and problem-solving abilities.
• Ability to influence and collaborate with stakeholders at all levels.