4h ago
AmazonPosted 1d ago
L3
Partner Domain Specialist AI & Data Analytics, Korea Partner Orgaznization
Partner Domain Specialist AI & Data Analytics, Korea Partner Orgaznization at Amazon scores 60 out of 100 on AI centrality, which makes it a Level 3 role on this board.
KR, Seoulseniorfull-time
AI in this role
Drive AWS partner ecosystem adoption and capability development focusing on AI, machine learning, and data analytics in Korea.
awscrm
cloud-computingpartner-managementdata-analyticsai-ml
In this role, you will own the Data & Analytics partner domain playbook, manage strategic partner relationships, and drive governance mechanisms that ensure a healthy and growing partner ecosystem. You'll collaborate with partner managers, solution architects, specialist sales, and cross-functional teams to position and scale partner capabilities. The Korea Partner Team will look to you as the expert on Data & Analytics partner strategy and execution.
Key job responsibilities
• Identify and engage IT service providers and partners (MSPs, resellers, professional services firms) prepared to lead market transition to Cloud in Data & Analytics domain
• Create and articulate compelling value propositions around AWS Data & Analytics services for partners in specific customer segments and industry verticals
• Position AWS for internal use by partner organizations, ensuring AWS is the preferred cloud platform across all product lines
• Collaborate with specialist sales teams on strategic Data & Analytics initiatives, contributing to top deals through technical validation and partner orchestration
• Own design and delivery of Partner Builder program and Korea Partner Heatmap for Data & Analytics capabilities
• Lead strategic relationships with top partners, driving business planning and capability development aligned to customer adoption journey
• Understand technical and training requirements of partners, working closely with internal AWS teams
• Enable internal AWS teams on Data & Analytics strategy, funding mechanisms, and market intelligence
• Maintain robust partner pipeline and conduct regular performance reviews using CRM systems and analytic tools
• Prepare and deliver business reviews to senior management
A day in the life
AWS values diverse experiences. Even if you do not meet all of the 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.
About the team
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Basic qualifications
- 5+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- Bachelor's degree
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience explaining complex technical concepts to various business and technical audiences
Preferred qualifications
- Experience interpreting data and making business recommendations
- Experience in Go-To-Market, Business Development, Sales, or Consulting
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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Cloud ComputingPartner ManagementData AnalyticsAI MlAwsCrm
Questions you could be asked
- Tell me about a project where cloud computing was part of your work. What did you do?
- Tell me about a project where partner management was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where ai ml was part of your work. What did you do?
- Walk me through how you've used Aws in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Cloud Computing, Partner Management, Data Analytics, AI Ml, and Aws. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Similar roles
Data roles rated Level 3 at other companies.
