WHO WE ARE

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

REQUIRED SKILLS & QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

• Certifications in cloud data platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Professional Data Engineer).
• Experience advising on Data Mesh and Data Fabric architectures.
• Knowledge of Graph databases and NoSQL solutions (MongoDB, Neo4j, Cassandra).
• Background in data ethics, responsible AI, and AI governance frameworks.

ABOUT THIS ROLE

We are seeking a highly skilled Senior Data/AI Architect to provide strategic guidance on designing, developing, and optimizing modern data architectures that support advanced analytics, AI/ML, and real-time data processing. This role emphasizes advisory and 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, and efficient data ecosystems.