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Head of AI Labs Data Acquisition

Nomura
CompanyNomura
CategoryUncategorised
LocationLondon
RemoteOn-site
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted13 Aug 2026
Last verified13 Aug 2026
SourceEmployer ATS (workable)
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Description
Corporate Level: Vice President Role Type: Permanent Department: Wholesale Data Technology Location: London Company overview Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com Department Overview Data Services is a critical function responsible for delivering comprehensive global data solutions across the Wholesale Division. Operating through a globally distributed model, the team provides essential market and reference data capabilities that underpin the organization's core operations and strategic initiatives. The team structure comprises highly skilled Data Engineers and Product Owners, complemented by dedicated Project Management professionals. These project managers hold responsibility for executing and delivering complex, high-impact initiatives across the division, ensuring alignment with business objectives and technological capabilities. Working in close collaboration with Global Markets Business, Risk, Finance, and Operations change teams, Data Services maintains strategic partnerships across the organization. The team's effectiveness is built upon strong stakeholder relationships and executive sponsorship within the business lines. Additionally, the function maintains robust partnerships with both internal and external technology partners, ensuring the delivery of cutting-edge data solutions that meet evolving business requirements. This collaborative approach, combined with technical expertise and strategic vision, enables Data Services to deliver innovative solutions while maintaining operational excellence across the global enterprise Role Overview: This position is for a technical lead for data acquisition within the AI Labs/Data Lake team. We are seeking a Lead Java Software Engineer to join our Wholesale Data and Operations Technology team. This position will serve as the technical leader for data acquisition processes and will be instrumental in shaping the architecture, implementation, and ongoing evolution of our comprehensive AI Labs/Data Lake platform. This role demands a seasoned professional who can seamlessly blend hands-on technical expertise with strategic leadership capabilities to deliver robust, scalable data solutions that support our organization's analytical and operational requirements. Responsibilities: Lead the end-to-end design, development, and maintenance of our enterprise-grade Data Lake platform, with particular emphasis on optimizing data ingestion workflows and acquisition methodologies Collaborate closely across various business lines to understand business requirements and translate them into technical solutions Build and enhance sophisticated data quality tooling and frameworks to ensure the integrity, accuracy, and reliability of data throughout the acquisition pipeline Architect and implement comprehensive data validation mechanisms, automated quality monitoring systems, and remediation processes that maintain the highest standards of data excellence Drive technical initiatives that ensure our data infrastructure remains at the forefront of industry best practices while maintaining the highest standards of performance, reliability, and security Collaborate closely with cross-functional teams to translate complex business requirements into scalable technical solutions Provide technical mentorship and guidance to junior team members while estab