OpenNash Jobs
Amazon · Seattle, WA

Principal, Organization Effectiveness Specialist, Ads, IMDb & Grand Challenge

US, WA, SeattleSenior individual contributor

Listed on Amazon’s official careers site. Posted October 15, 2026. Check that it is still open and apply there.

Apply on Amazon’s careers site →

Job description

The Advertising, IMDb, and Grand Challenge (AIGC) PXT Center of Excellence is seeking a Principal, Org Design & Effectiveness Specialist to enable AIGC to build healthy and effective organizations where leaders understand and apply proven as well as innovative org design practices.

In this role, you are the subject matter expert in Org Design and measuring Org Effectiveness and own defining the long-term plan for measuring and improving organization’s effectiveness. You’ll build mechanisms to work closely with HRBPs, business leaders and talent management to understand the nuances of their businesses and how organizational effectiveness solutions help solve their business challenges more effectively.

You’ll partner with our research scientists to advance our understanding of the impact of Org Design/Effectiveness strategies, and constantly scan academia and industry best practices for innovations we can learn from. You’ll develop resources for HRBPS and business leaders and their HRBPs to implement organizational design and effectiveness processes.

Key job responsibilities

- Set and deliver the vision, strategy, and roadmap for org effectiveness and design initiatives working across AIGC to ensure alignment with business priorities.

- Analyze complex workforce data to identify trends, diagnose organizational health, and translate insights into long-term org strategies and present to senior leadership through clear, compelling narratives.

- Design and implement scalable mechanisms, frameworks, and best practices for talent evaluation, succession planning, and organizational development that can be adopted broadly across the company.

- Lead cross-functional change management efforts, building consensus among stakeholders with differing perspectives and ensuring effective communication and adoption at scale.

- Leverage generative AI tools and emerging technologies to augment productivity, improve program quality, and drive continuous process improvement across HR initiatives.

A day in the life

You will start your day reviewing talent data and preparing insights for an upcoming leadership review. By mid-morning, you may be facilitating a calibration session with senior leaders or partnering with cross-functional teams to refine a new organizational development program. Afternoons could involve drafting strategic narratives for senior leaders, HR colleagues, coaching peers on best practices, or evaluating how AI-powered tools can streamline existing processes.

Your work will require you to balance long-term strategic thinking with hands-on problem solving.

About the team

Our team is dedicated to building human-centered talent strategies that help Amazon attract, grow, and retain exceptional people. We partner closely with business leaders and HR colleagues to design programs that operate at unprecedented scale and have a real impact on the employee experience. We value collaboration, creative problem solving, and a commitment to continuous improvement. If you want your work to shape how an entire organization thinks about talent, this is the team for you.

More jobs at Amazon

Similar jobs at other companies

Organization Effectiveness Director 2

Northrop Grumman · United States-Florida-Melbourne

Director, Organization Effectiveness

Philip Morris International · Stamford, Connecticut, United States

Organization Effectiveness & Design Lead

Western Digital · San Jose, CA, United States

Principal Applied Scientist-Ads Monetization

Microsoft · United States, Washington, Redmond, California, Mountain View

Specialist, Organization Effectiveness

Taiwan Semiconductor · Phoenix, AZ, US

OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations.