Will Stocker
Head of Partner Led Support, Emea @Amazon Web Services (AWS)
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WORK HISTORY
Head of Partner Led Support, Emea @Amazon Web Services (AWS)
GB
Own the EMEA Partner-Led Support strategy, operating model, and execution for customers supported through AWS partners, building the function from the ground up, transforming a fragmented, ad-hoc approach into a mature, scalable organisation with clear ownership, mechanisms, and consistent delivery.• Lead regional planning across capacity, coverage, readiness, enablement, and performance management for partner-facing support teams.• Set direction for operational excellence (incident management, escalations, communications, quality mechanisms, and continuous improvement).• Drive partner enablement across tooling, playbooks, training, and standard operating procedures to improve consistency and customer outcomes.• Sponsor and scale an AI-first approach to problem solving, embedding GenAI into support workflows (knowledge, summarisation, incident response, leadership reporting).• Coordinate with global stakeholders across Support, Partner orgs, Product/Engineering, and GTM to remove systemic issues and improve customer experience.
EDUCATION
Havant College
A Level
ABOUT WILL STOCKER
Strategic, empathetic engineering leader with 15+ years’ experience building and scaling support and infrastructure organisations across cloud, partners, and enterprise environments. I specialise in taking ambiguous, high-stakes problems and turning them into clear operating models, repeatable mechanisms, and teams that consistently deliver.At AWS I’ve built functions from the ground up, led regional and global programs, and partnered closely with GTM, Product, and Engineering to improve customer outcomes across partner-led motions, public sector, healthcare, and digital-native customers. I’m known for calm executive engagement, strong cross-functional relationships, and raising the bar on operational excellence through data, coaching, and high standards.I also drive an AI-first approach to problem solving, embedding GenAI into day-to-day workflows to streamline execution, improve quality, and free teams up to focus on the work that matters most.
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