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About the role
Date live: 06/23/2026 Business Area: Markets Post Trade Area of Expertise: Technology Contract: Permanent Reference Code: JR-0000104631 Join us as a VP - Data Product, Governance & AI/ML Enablement Leadat Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a VP - Data Product, Governance & AI/ML Enablement Lead,you should have experience with: - Data Engineering (Primary Capability) - Distributed data processing (Spark / Databricks / similar) - Data pipeline design (batch + streaming) - Data API / consumption layer experience - Cloud data platforms (AWS preferred: S3, Athena, Glue, etc.) - Data Modelling & Data Architecture - Solid SQL proficiency - Logical & physical data modelling - Domain-driven data design (aligned to business entities) - Schema design for analytics & consumption - AI/ML Enablement & Data for Intelligence - Strong understanding of ML data lifecycle: - Feature engineering datasets - Training vs inference data needs - Ability to collaborate with Data Scientists / AI teams - Experience preparing high-quality, governed datasets for ML use cases - Data Governance & Data Product Thinking - Ownership, lineage, metadata management - Data quality controls and DQ framework - Entitlements / access control patterns - Auditability & regulatory awareness - Data catalogue / discovery concept You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. The role is based out of Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data wareho .
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