BI Manager (Bangkok based, relocation provided)

Get To Know Our Team:

The Data department oversees all Agoda’s data-related requirements. Our goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. 

The Opportunity:

As BI Manager, you will lead a new scrum team dedicated to supporting the B2B entity. Your team will own the end-to-end process of designing, building, and operating the B2B data lake and its associated data products, enabling financial reporting, operational analytics, and data-driven decision making across the organization. You will partner closely with Finance, Planning, Revenue Operations, Data Engineering, and Analytics stakeholders to ensure that data is discoverable, auditable, performant, and fully aligned with organizational and financial reporting requirements.

What You’ll Do:

• Own the full lifecycle for the data lake: ingestion, storage, cataloging, transformation, validation, and access provisioning.
• Define the data model, schema standards, and partitioning/retention strategies that support financial reporting, forecasting, and partner operations analytics.
• Establish and enforce data governance, lineage, and auditability practices critical for financial reporting (including source-to-target traceability and reconciliation).
• Implement scalable ingestion pipelines from multiple upstream systems (transactions, bookings, settlements, partner contracts) ensuring timeliness and correctness for reporting cycles.
• Build and maintain transformation pipelines (ETL/ELT) to create clean, reproducible datasets and aggregated marts used by reports and planners.
• Lead the team’s dashboard vision and quality, leading design reviews and making strategic decisions that shape how the business consumes data.
• Drive performance and cost-efficiency for the data lake: query optimization, data compaction, caching layers, and lifecycle policies to meet performance SLAs.
• Set up automated data quality checks, reconciliation jobs, and alerts, to surface anomalies before they impact reports.
• Provide self-serve data access patterns and APIs for analytics teams, planners, and finance consumers while enforcing role-based access and separation of duties.
• Collaborate with Finance and other business stakeholders to translate reporting requirements into deliverable data products and schedule data delivery aligned with financial close and planning cadences.
• Lead sprint planning, backlog prioritization, and delivery governance for the scrum; hire and mentor engineers and data stewards for the team.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Data Engineering, Information Systems, or a related field (or equivalent experience).
• 5+ years experience building and operating data platforms, data lakes, or large-scale data pipelines; 3+ years in a leadership or engineering lead role.
• Strong proficiency in SQL and scripting languages (e.g., Python, Scala, or Java) for ETL/ELT development and data validation.
• Experience with large scale data platforms (Hadoop, Impala, Spark, Vertica)
• Experience with data storage and processing technologies such as Delta Lake, Apache Iceberg, Hive, S3/GCS, Spark, Presto/Trino, or equivalent cloud data lake components.
• Solid understanding of data modelling for analytics and financial reporting (star schemas, slowly changing dimensions, partitioning, compaction).
• Demonstrated experience implementing data governance, data lineage, cataloguing (e.g., AWS Glue, Data Catalog, Amundsen), and role-based access control to meet audit and compliance requirements.
• Hands-on experience with orchestration and workflow tools such as Airflow, Prefect, or similar for scheduling and dependency management.
• Proven ability to design and run data quality frameworks (reconciliation, anomaly detection, SLA monitoring) with automated alerting.
• Experience with performance optimization for large datasets: partitioning, indexing, caching, query tuning, and cost-management strategies.
• Leadership in dashboard strategy, driving quality and experience in running effective design reviews, making strategic decisions that shape data consumption.
• Strong stakeholder management skills — able to translate finance and operations requirements into prioritized data products and delivery plans.
• Excellent communication skills in English — able to produce clear documentation, lead cross-functional reviews, and present to finance stakeholders.
• Problem-solving mindset, attention to detail, and commitment to data accuracy and auditability for financial reporting.
• Experience hiring, mentoring, and developing engineers/data stewards; ability to build a culture of ownership and operational excellence.

Preferred Qualifications:

• Experience with Snowflake and familiarity with Snowflake-specific features (clustering keys, materialized views, Time Travel, zero-copy cloning)
• Experience with software development processes for Agile/Scrum and CI/CD utilizing technologies such as GIT, Jenkins, Terraform
• Analytics, business intelligence, or data visualization experience
• Knowledge of compliance and audit requirements for reporting systems.