Lead Data & AI Architect – Cloud-First Strategy

THE BOSTON CONSULTING GROUP PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

BCG Platinion is seeking a Senior Data/AI Architect at the Lead/Principal level to guide strategic data architecture initiatives and governance across client engagements in the SEA/Asia Pacific region. The role emphasizes advisory leadership, helping organizations define future-ready data strategies and governance frameworks that enable AI-driven use cases.

The ideal candidate will work closely with data engineers, data scientists, business analysts, and IT leaders to shape scalable, secure data

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, Information Systems, or a related field.
• 10-16 years in data architecture, data engineering, or cloud-based data solutions.
• Willingness to travel within SEA/Asia Pacific region.

Responsibilities

• Define and advise on modern data architectures aligned with business goals for AI analytics.
• Guide on cloud-native and hybrid data solutions (AWS, Azure, GCP, Snowflake, Databricks).
• Lead data governance and policies for security and ethical AI use.
• Collaborate with data scientists, engineers, and IT leaders to shape scalable data ecosystems.
• Advise on real-time streaming and data integration strategies.

Skills

Data Architecture

Data Governance

Cloud Platforms

ETL/ELT

Real-time streaming

TOGAF

Graph/NoSQL

Education

Bachelor’s or Master’s in Computer Science, Data Science, Information Systems, or related field

Tools

AWS Redshift

Azure Synapse

BigQuery

Snowflake

Job description

BCG Platinion is seeking a Senior Data/AI Architect at the Lead/Principal level to guide strategic data architecture initiatives and governance across client engagements in the SEA/Asia Pacific region. The role emphasizes advisory leadership, helping organizations define future-ready data strategies and governance frameworks that enable AI-driven use cases.

The ideal candidate will work closely with data engineers, data scientists, business analysts, and IT leaders to shape scalable, secure data