• Own the technical execution and infrastructure setup across our US compute sites, covering power, cooling, mechanical and electrical systems, to the highest standard of performance and reliability. • Lead early-stage site evaluations, assessing prospective spaces and colo data halls for technical feasibility before we commit. • Drive the full deployment lifecycle from site assessment and hardware selection through to physical installation, commissioning, and handover to live operations. • Act as the primary technical presence on the floor, working directly alongside contractors and internal teams to bring each site online. • Execute technical fitouts end to end, including logistics, equipment rigging, rack installation, and high-density hardware deployment. • Install, validate, and maintain direct-to-chip liquid cooling loops and the surrounding critical infrastructure. • Set and enforce structural, mechanical, and electrical safety standards across every site you own.

• Act as a trusted advisor on US privacy and AI laws, providing timely, pragmatic guidance to internal teams and engaging directly with customers to negotiate and explain data protection positions. • Lead and deliver privacy and AI compliance initiatives end-to-end, including assessments, data flow analysis, risk identification, and tracking actions through to completion. • Partner with Product, Engineering, Sales, and Legal to embed Privacy and AI by Design into data use, products, and services, ensuring compliance with evolving regulatory requirements. • Review, draft, and negotiate data protection provisions in customer and supplier contracts, balancing legal risk with commercial priorities. • Monitor and interpret new and emerging US privacy and AI legislation, rapidly translating requirements into clear, actionable business guidance. • Maintain and continuously improve compliance frameworks, processes, and documentation, including supporting internal and external audits and ensuring strong record-keeping. • Build strong relationships with stakeholders, while delivering training and awareness programmes to embed a culture of privacy and AI compliance across the organisation.

• Analyze and derive value from data through mathematics, statistics, and machine learning techniques. • Enable data-driven decision making by creating custom models or prototypes. • Coordinate with other teams to implement models and monitor results. • Develop data hypotheses and methods, train and evaluate analytics models. • Assist in establishing functional analytics methods and techniques.

• Advise clients on end-to-end solutions across data strategy, data management, and data quality. • Support business development, methodology development, team leadership, and delivery execution for data governance assessments and implementations. • Design and develop data governance technology solutions across data quality, data dictionaries, business glossaries, data standards, and data policies. • Define organizational design, governance processes, policies, roles, responsibilities, success metrics, and operating models for client data programs. • Build roadmaps covering technology, culture, governance, processes, skills, competencies, data quality, analytics, and data management maturity. • Lead and collaborate with data governance teams to create business cases, resource plans, implementation roadmaps, and enterprise data system assessments. • Assess current-state environments, identify client pain points and requirements, and help define a practical vision and strategy for becoming a data-driven organization. • Advise clients as a trusted partner and provide thought leadership on data governance, data management, cloud transformation, AI readiness, and related best practices. • Manage resources, budgets, project delivery, team development, training, mentoring, and performance assessment.