Amazon Workforce Transformation Lead AWS Growth Initiatives 

United States, Washington, Seattle 

247467532

25-40% travel may be required.
Key job responsibilities
• Create future cloud and talent strategies with strategic consulting partners of AWS
• Create tailored strategies focused on organizational structures, cloud/AI-enabled operating models, migration and modernization delivery, talent transformation, and change management
• Bring perspectives on unique incentives and performance management for future business and IT cloud talent
• Implement complex workforce programs and influence senior partner executives
• Build short and long-term plans to optimize workforce enablement across business and IT organizations
• Collaborate with Training & Certification team to create tailored learning and enablement plans specific to partner’s scope of work and skills needs
• Ability to program manage complex multi-year talent transformations
• Identify and enable best practices to execute workforce transformationAbout the team
Why AWSDiverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life BalanceInclusive Team CultureMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 7+ years of talent/workforce/change management experience
- Driving organizational change in global tech consulting or IT infrastructure outsourcing
- Knowledge of workforce planning methodologies and change management
- Strong facilitation, communication, strategic thinking, and problem solving skills
- Experience with sales partnerships and consulting commercial models