Lead; GCP) Data & AI Architect

Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.

Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centers across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.

With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition.

We are organized in complementary chapters - teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, Dev Ops, Data and AI, Cloud, Software Technology, Functional Programming, Low Code, and Microsoft.

We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services.

For more details please visit

We are seeking a highly experienced Lead Data & AI Architect & Strategy consultant with deep expertise in Google Cloud Platform (GCP) to lead the architecture for a strategic Data and AI transformation program within a leading financial-services organization. This is a critical technology leadership role with end-to-end responsibility for defining and governing the Data and AI architecture across the transformation lifecycle, from current-state discovery and assessment through target-state architecture, implementation planning and implementation.

The role will establish the architectural direction, drive key technology decisions and provide technical leadership to ensure the platform is scalable, secure, resilient and capable of supporting enterprise-grade Data, AI and agentic AI use cases.

The role will work closely with senior stakeholders across Data, AI, Technology, Architecture, Security, Risk and Business functions, while providing technical direction to architects, engineers and delivery teams. The successful candidate will combine deep GCP expertise with strong enterprise Data and AI architecture, consulting and leadership experience, and will be expected to translate business objectives into pragmatic technology solutions and measurable outcomes.

• Own the end-to-end Data and AI architecture for the transformation program and establish the target-state technology vision.
• Lead current-state architecture assessments, identify technical gaps and dependencies, and define the target-state architecture and modernization strategy.
• Translate business and technology requirements into scalable, secure and implementation-ready architecture.
• Define architecture principles, reference architectures, technology standards and reusable patterns for enterprise adoption.
• Drive architecture decisions across data, AI, cloud, integration, security, governance and observability.
• Lead architecture governance, design reviews and technical decision-making throughout the program.
• Design and govern enterprise-scale data platforms on GCP supporting batch, real-time and streaming workloads.
• Architect data ingestion, processing, storage, transformation, serving and consumption patterns using GCP-native services.
• Provide deep architectural guidance across Big Query, Cloud Storage, Dataplex, Dataflow/Apache Beam, Pub/Sub, Dataproc, Vertex AI and related GCP services.
• Define modern data architecture patterns, including lakehouse/Medallion architecture, enterprise data models and data products where appropriate.
• Design high-volume data workloads with…