• Develop, maintain, and collect structured and unstructured data sets for analysis and reporting • Create reports, projections, models, and presentations to support business objectives • Build member-level predictive models, developing segmentation strategies, and evaluating the impact of Stars Population Health initiatives on performance • Deep dive into membership data to understand, model, and segment members for outreach and initiatives as well as support the efforts to increase the number of members having an Annual Preventive Visit • Partner closely with Stars business leaders, Population Health stakeholders, and analytics teammates to connect Population Health strategies to broader Stars measures priorities

• 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.