What are the responsibilities and job description for the Principal, Future of Work , PXT — Senior Talent & Transformation position at Amazon Web Services (AWS)?
Description
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.
Basic Qualifications
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 164,700.00 - 222,800.00 USD annually
USA, WA, Seattle - 149,800.00 - 202,600.00 USD annually
Company - Amazon Web Services, Inc.
Job ID: A10529221
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.
Basic Qualifications
- 10 years of HR specialist, HR generalist (e.g., HR Business Partner or HR Partner), HR manager, or HR program experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience handling ambiguous or undefined challenges through strong problem solving abilities
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience in organizational design
- Experience with AI-enabled work redesign or other technology-driven changes to roles, teams, and operating models.
- Track record of developing organization design frameworks, workforce guidance, or practitioner decision tools that have been adopted across multiple organizations.
- Experience using generative AI tools to support research, synthesis, scenario analysis, or development of organizational guidance, including validation of output quality and responsible handling of confidential information.
- Experience working across workforce planning, performance management, talent programs and processes, and related people systems.
- Experience translating research, field evidence, and emerging practices into guidance for HRBPs and senior business leaders.
- Advanced degree in Organizational Development, Human Resources, business, or a related field.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 164,700.00 - 222,800.00 USD annually
USA, WA, Seattle - 149,800.00 - 202,600.00 USD annually
Company - Amazon Web Services, Inc.
Job ID: A10529221