About BCG Platinion
BCG Platinion's presence spans across the globe, with offices in Asia, Europe, and South and North America. We achieve digital excellence for clients with sustained solutions to the most complex and time-sensitive challenge. We guide clients into the future to push the status quo, overcome tech limitations, and enable our clients to go further in their digital journeys than what has ever been possible in the past. At BCG Platinion, we deliver business value through the innovative use of technology at a rapid pace. We roll up our sleeves to transform business, revolutionize approaches, satisfy customers, and change the game through Architecture, Cybersecurity, Digital Transformation, Enterprise Application and Risk functions. We balance vision with a pragmatic path to change transforming strategies into leading-edge tech platforms, at scale.
Practice Area
BCG Platinion launched in Germany in 2000 to add deep technical expertise to the Boston Consulting Group’s existing capabilities. Today, our presence spans across the globe, with offices in Asia, Europe, and South and North America. Our New York-based North American team began in 2014 and in 2017 acquired MAYA Design, a Pittsburgh-based digital design and innovation lab, to grow our capabilities around technology and design.
We support our clients’ total digital transformation through technology, design, cybersecurity, and risk management & financial engineering capabilities. And together with BCG, BCG Platinion’s interdisciplinary team of technical experts enable customized technical solutions and accelerate delivery value through new business platforms, application consolidations, and major system implementations.
What You'll Do
We are seeking a highly skilled Senior Data/AI Architect at the Lead/Principal level 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.
Data Architecture & Strategy
- Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation.
- Guide organizations in adopting cloud-native and hybrid data solutions (AWS, Azure, GCP, Snowflake, Databricks).
- Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance.
- Shape long-term data strategies that foster flexibility, innovation, and interoperability across platforms.
Data Governance & Advisory
- Lead the development of governance frameworks and policies that ensure data security, compliance, and ethical AI use.
- Provide guidance on the creation and maintenance of data dictionaries, metadata management, and data cataloging, ensuring consistency, accuracy, and alignment with industry best practices.
- Advise on data quality management strategies, ensuring robust data lineage, accuracy, and reliability across the organization.
- Define governance roadmaps that support AI adoption while maintaining compliance with GDPR, CCPA, HIPAA, and other regulations.
Cloud & Emerging Technologies
- Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage.
- Advise on implementing real-time streaming solutions (Kafka, Kinesis, Pub/Sub) to support AI-driven analytics.
- Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines.
- Guide organizations in evaluating and adopting graph databases, NoSQL solutions, and modern data integration tools.
Collaboration & Leadership
- Act as a trusted advisor to C-level executives and business leaders, translating complex data challenges into strategic initiatives.
- Collaborate with data scientists, engineers, and business analysts to enhance data accessibility and usability.
- Drive innovation in data architecture, ensuring organizations remain competitive and AI-ready.
- Lead assessments of emerging data technologies and best practices to future-proof organizational data strategies.
What You'll Bring
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
Technical & Advisory Expertise:
- Deep knowledge of cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake).
- Expertise in data governance, master data management (MDM), and compliance frameworks.
- Strong understanding of AI-ready data architectures and their impact on feature engineering and ML workflows.
- Ability to guide organizations on ETL/ELT strategy, data integration, and workflow automation.
- Familiarity with industry-standard data architecture frameworks (TOGAF, Zachman).
- Experience advising on real-time data streaming (Kafka, Kinesis, Pub/Sub).
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.
- More experienced candidates may be considered for appointment at the Principal/Director level.