Experience:

5 years required

Skills:

Leadership Skill

Job type:

Full-time

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Human Resources Department.
• N.C.C. Management & Development Co., Ltd.
• 60 Queen Sirikit National Convention Center,Ratchadaphisek Road, Khlong Toei Sub-district,.
• Khlong Toei District, Bangkok.
• Website: www.qsncc.com.