Jamie Ash

About Jamie Ash

A challenge driven leader in Data Science with experience across user experience, business intelligence, data architecture, and product management, enabling businesses to optimise for customer and employee outcomes.

Experience

1. Head of Measurement Science Implementation, Employee Listening

   Amazon

   Apr 2024 — Present · Seattle, WA, US

   Leading strategic employee experience measurement and analytics initiatives at Amazon, where I drive the development and execution of data-driven listening strategies that shape employee experience across worldwide operations and corporate. As a key leader in the eXperience Measurement Science (XMS) team, I architect and implement comprehensive measurement frameworks that balance sophisticated data collection with employee trust. Drawing on expertise in both data science and employee/human experience, I design measurement strategies that capture valuable, comprehensive insights for the company and it\'s leaders in an employee-centric way. I spearhead the deployment of Amazon Connections, our daily employee listening tool delivering questions, tips, and recommendations, ensuring the delivery of strategic insights that inform business decisions across the organization. My role combines scientific rigor with practical business application, as I collaborate with cross-functional teams to develop innovative approaches to employee listening at Amazon scale (1.7MM+).Core to my impact is the ability to translate complex data science concepts into actionable business insights. I lead the development and scaling of high-quality metrics that drive decision-making, while evangelizing the strategic value of employee listening data across Amazon. My work involves close partnership with software and product teams to continuously enhance our measurement tools and methodologies. My leadership extends to fostering partnerships with science teams across Amazon, where I guide the development of tailored listening approaches that address specific business challenges while maintaining scientific integrity and operational excellence.

Education

• The University of Manchester

  BSc (Hons), Mathematics

  2009 — 2012

Skills

• Project Planning
• Statistics
• Spss
• Customer Service
• R
• Sql
• Customer Experience
• Databases
• Leadership
• Microsoft Excel
• Powerpoint
• Analytics
• Microsoft Office
• Business Process Improvement
• Teamwork
• Problem Solving
• Operations Management
• Business Analysis
• Team Management
• Web Analytics
• Customer Oriented
• Data Analysis
• Microsoft Powerpoint
• Process Improvement
• Strategy
• Training
• Matlab
• Creative Problem Solving
• Discrete Mathematics
• Pattern Recognition
• Program Management
• Project Management
• Data-Driven Decision Making
• Product Management
• Mathematics
• Root Cause Analysis
• Management
• Time Management
• Team Leadership
• Analysis