Principal, Future of Work , PXT - Senior Talent & Transformation

Amazon's Future of Work team helps Amazon understand and act on how AI is changing work at the team and organization level. Our team identifies emerging workforce design patterns, tests them against research and field evidence, and translates what we learn into guidance that helps People Experience and Technology (PXT) practitioners and senior leaders make better decisions as they redesign work.

In this role, you will synthesize emerging evidence into mental models, guidance, and decision support that make connections across the broader workforce system visible. When questions emerge about how AI is changing work, roles, teams, or workforce needs, you will assess the implications for workforce planning, talent management, and related systems; clarify the decisions and tradeoffs involved; and partner with the accountable teams to address them. You will also connect these mental models and qualitative signals to quantitative evidence and scientific inquiry, partnering with teams responsible for measurement and research to frame testable questions and inform their roadmaps.

You will apply deep organization design and transformation judgment to ambiguous questions in an emerging and fast-moving field. You will distinguish established findings from promising but unproven practices, develop guidance calibrated to the available evidence, and influence senior leaders and partner teams through clear reasoning rather than direct authority.

Key job responsibilities

Synthesize research, case studies, practitioner questions, and business signals to identify patterns in how AI is changing roles, team composition, workflows, decision rights, and operating models.

Develop and evolve mental models, guidance, and decision frameworks that establish a coherent point of view on AI-enabled work redesign and help senior leaders and PXT practitioners make informed decisions as evidence evolves.

Identify implications across interconnected workforce and talent systems, and partner with accountable teams to frame emerging issues, tensions, dependencies, and decision points.

Use case studies, learning forums, leader engagements, and practitioner feedback to identify recurring questions and patterns; translate those signals into broader insights and ensure guidance is accurately reflected in the materials and tools used by practitioners.

Identify gaps in the evidence base and partner with teams responsible for measurement and research to translate emerging mental models and qualitative signals into testable questions, relevant measures, and priorities for further study.