Lead CDD Data Owner

Step into the role of Lead CDD Data Owner at Barclays, where you'll provide first-class support by conducting in-depth due diligence, ensuring compliance with regulatory requirements, and safeguarding our clients and organization with expertise and care. You may be assessed on key critical skills relevant for success in role such as: Proven capability in data lineage analysis , including tracing Critical Data Elements (CDEs) across systems and documenting end‑to‑end data flows for transparency, audit, and regulatory compliance.

Strong experience in data analysis across Financial Crime domains  (KYC, AML, PEP, Sanctions), with the ability to assess and validate large, complex datasets for risk and compliance use cases. Solid understanding of data governance principles and frameworks , including data quality, integrity, completeness, and control implementation aligned to regulatory expectation. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.

Designing and building data pipelines to automate data movement and processing. Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.

Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs. Desirable Skillsets: Strong stakeholder engagement skills with the ability to translate EDD and regulatory requirements into data rules, logic, and reporting insights  supporting risk identification and decision-making. Advanced proficiency in SQL and data manipulation techniques , with experience working across multiple data sources (databases, APIs, flat files) for extraction, transformation, and validation.

Experience in data migration, remediation, and control-driven programmes  within Financial Crime or regulatory environments, ensuring traceability, consistency, and audit readiness. You may be assessed on key essential 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.

This role is based out of Pune and Chennai. Purpose of the role To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. Accountabilities Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement Designing and building data pipelines to automate data movement and processing.

Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI. Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.

Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations fo