• Lead, grow, and support the platform team through coaching, clear expectations, and a culture of ownership, reliability, and continuous improvement. • Own the platform strategy and roadmap, prioritising initiatives, managing team capacity, and ensuring strong execution and impact. • Provide technical direction for our AWS- and Kubernetes-based platform, guiding architectural decisions that balance speed, reliability, security, and cost. • Oversee cloud infrastructure and IaC practices, ensuring the team delivers secure, resilient, well-managed AWS environments. • Drive improvements to CI/CD and developer experience by setting direction, aligning stakeholders, and removing friction for product teams. • Champion observability and reliability, ensuring robust logging, metrics, tracing, and effective incident response practices. • Partner closely with product, engineering, security, and operations experts in the company to align standards, resolve cross-team issues, and support smooth service integration. • Maintain platform quality by steering tech-debt reduction, documentation, and alignment with security and compliance expectations.

• Lead, grow, and support the platform team through coaching, clear expectations, and a culture of ownership, reliability, and continuous improvement. • Own the platform strategy and roadmap, prioritising initiatives, managing team capacity, and ensuring strong execution and impact. • Provide technical direction for our AWS- and Kubernetes-based platform, guiding architectural decisions that balance speed, reliability, security, and cost. • Oversee cloud infrastructure and IaC practices, ensuring the team delivers secure, resilient, well-managed AWS environments. • Drive improvements to CI/CD and developer experience by setting direction, aligning stakeholders, and removing friction for product teams. • Champion observability and reliability, ensuring robust logging, metrics, tracing, and effective incident response practices. • Partner closely with product, engineering, security, and operations experts in the company to align standards, resolve cross-team issues, and support smooth service integration. • Maintain platform quality by steering tech-debt reduction, documentation, and alignment with security and compliance expectations.

• Lead, mentor, and grow a high-performing team of data and platform engineers. • Define the technical vision and roadmap for the data engineering organization. • Partner with leaders across Business Intelligence, Product, Engineering, Tech, and Business teams to translate business needs into a scalable data strategy. • Oversee the design, build, and maintenance of robust data pipelines and ELT/ETL frameworks. • Architect scalable data models and storage solutions aligned with enterprise data standards. • Ensure data systems adhere to best-in-class performance, security, governance, reliability, and scalability. • Evaluate, introduce, and manage modern data tools and technologies. • Lead and improve end-to-end data lifecycle processes, including ingestion, transformation, quality, testing, and monitoring. • Implement data observability and CI/CD for data pipelines. • Ensure optimal performance, uptime, and resilience of mission-critical data workflows. • Design, build, and maintain high-performance APIs and data services that support internal and external applications. • Design and deploy event-driven data processing solutions using AWS Lambda, SQS, SNS, and related serverless patterns. • Lead the development of real-time and streaming data ingestion pipelines using platforms such as Kinesis, Kafka, or equivalent technologies

• Define and execute strategy to dramatically improve the intelligence of the Guest and Host apps through machine learning and data products. • Set priorities, balance speed and quality, and ensure the engineering team executes against an ambitious roadmap. • Partner with Product, Design, and Data Science to take high-impact ML initiatives from concept to production. • Lead and mentor a diverse team of ~10+ engineers and technical leads across Machine Learning, Data Engineering, Analytics Engineering, and Software Engineering. • Collaborate closely with key engineering teams, including Host Tools, Pricing, Guest Experience, Trust, Infrastructure, and Customer Service Platform. • Coaching and developing team members, helping them grow their careers, technical expertise, and collaboration skills.