As Head of Client Data Engineering, you will lead the strategic development and execution of Client Data Platform in Investment Bank. This role is pivotal in driving strategic data platform build, engineering transformation, and ensure data quality to enable superior client outcomes and informed decision-making. You will be responsible for shaping the future of IB Client Data Management, implementing unified client hierarchies, and championing data governance and analytics initiatives that support Markets, Investment Banking, and Research
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Key Responsibilities
Strategic Leadership
Define and execute the strategic vision for client data engineering aligned with Barclays' broader data strategy and business goals.
Lead the transformation of IB Client Data Management into a best-in-class Data platform.
Partner with senior stakeholders to align data product strategy with business objectives.
Data Engineering & Platform Ownership
Oversee the development and maintenance of scalable data pipelines, ensuring high-quality, complete, and actionable client data.
Lead the simplification and cleansing of legacy data, including eliminations of duplicates entities.
Drive adoption of cutting-edge technologies (ML/AI, CI/CD, cloud-native architectures)
Modernize and optimize the platform with Commercial mindset to drive sustainable business outcomes.
Governance & Collaboration
Partner with senior stakeholders to ensure seamless data integration and platform adoption.
Actively participate in governance forums such as the Data Architecture Review Board and Client Data Management Working Groups.
Ensure compliance with data protection regulations and internal policies.
Team Leadership & Development
Build and lead a high-performing engineering team (50+ engineers across various levels), fostering a culture of innovation, accountability, and continuous improvement.
Mentor and develop talent across the Client Data Engineering function, promoting cross-functional collaboration and knowledge sharing.
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Required Skills & Qualifications
Proven experience in leading large-scale data engineering transformation programs within financial services.
Deep understanding of data architecture, governance, and analytics platforms.
Strong stakeholder management and communication skills, with the ability to influence at senior levels.
Expertise in Java, SQL, and cloud ecosystems (e.g., AWS, Azure).
Experience managing cross-functional teams and delivering complex change initiatives.
Budget management and P&L responsibility for technology investments
Cross-functional collaboration with Risk, Compliance, and Business units
Vendor management and strategic partnership development
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Preferred Attributes
Strategic thinker with a hands-on approach to execution.
Passionate about data-driven decision-making and client-centric innovation.
Collaborative leader who thrives in a matrixed, global organization.
Versatility to adapt to manage other functions as needed.
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