Gen AI Architect - Data Architecture & Governance Leader

Barclays; United Kingdom; Remote; GBP 110,000 - 160,000; Full time

Job summary

Barclays is seeking a GEN AI Architect to define and govern the bank's target data architecture, including the shared data environment, data model and standards. You will ensure data is accurate, secure and accessible to meet stakeholders' needs across the organization.

Key responsibilities include developing data architecture strategy, collaborating with data operations, engineers and analysts, and maintaining governance, protection policies and data quality to support value-driven data usage.

Qualifications

• Experience in advanced AI/ML architecture and governance.
• Proven ability to define data architecture strategies and standards.
• Strong strategic vision and innovation mindset.

Responsibilities

• Develop and govern Barclays' target data architecture and standards.
• Collaborate with data operations, engineers and analysts to ensure safe data usage.
• Maintain data governance, protection policies and data quality.
• Align projects to the target data architecture and monitor progress.
• Define reusable data capabilities and how data sources connect.
• Oversee the overarching data model across databases and interfaces.
• Monitor regulatory trends affecting data architecture and controls.
• Evaluate and select leading data technologies to meet SLAs.

Skills

AI architecture

Responsible AI

Innovation & strategy

Research publications

Industry speaking

Cross-industry AI

Job description

Barclays is seeking a GEN AI Architect to define and govern the bank's target data architecture, including the shared data environment, data model and standards. You will ensure data is accurate, secure and accessible to meet stakeholders' needs across the organization.

Key responsibilities include developing data architecture strategy, collaborating with data operations, engineers and analysts, and maintaining governance, protection policies and data quality to support value-driven data usage.