Senior Customer Solutions Manager, Global Financial Services (GFS), AWS
Amazon is hiring a Senior Customer Solutions Manager, Global Financial Services (GFS), AWS in Tokyo, Japan. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AWS, Generative AI and cloud architecture.
- Level classifies it as a senior role.
- Level lists 22,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Senior Customer Solutions Manager leading cloud partnerships, digital transformations, and AI/ML adoption for major financial institutions.
As a Sr. CSM, you own the transformation strategy end-to-end: from establishing vision with C-suite executives, through programmed execution across multiple business units and geographies, to delivering quantifiable outcomes in revenue, adoption, and workload migration. You are the senior technical advisor these institutions rely on to navigate cloud adoption at scale, including AI/ML, Generative AI, data modernization, core banking, and payments.
This role requires someone who can operate autonomously with Japan's most senior banking executives, bring programmatic rigor to complex multi-stakeholder environments, and deliver results across cultural and regulatory boundaries that most people find impenetrable.
Key job responsibilities
- Own executive relationships (CxO, Group CTO/CIO, BU heads) at assigned customers, establish trust, align on strategic outcomes, and drive decisions that unlock enterprise-wide AWS adoption
- Define and execute the cloud transformation strategy for each customer, including migration targets, modernization priorities, AI/ML adoption roadmap, and new solution development, with clear milestones and measurable KPIs
- Lead cross-functional programs spanning multiple geographies, business units, and regulatory regimes, coordinating AWS account teams (GAM, SA, TAM, ProServe) and customer stakeholders to maintain velocity
- Drive AI/ML and Generative AI adoption: identifying use cases, facilitating working-backwards sessions, and accelerating proof-of-concept to production deployment
- Install governance structures and Cloud Business Office capabilities that make the customer self-sustaining, not dependent on AWS hand-holding
- Act as voice of customer into AWS product, engineering, and leadership: unblock roadmap gaps, secure executive sponsorship for customer-critical features, and close the feedback loop
- Mentor CSMs across the region, raising the bar for executive engagement, technical depth, and strategic thinking through direct coaching and community contribution
- Track and report transformation outcomes (migration velocity, service adoption breadth, revenue growth, workload count) to customer executives and AWS leadership
A day in the life
Lead working-backwards sessions with megabank executives to define Generative AI roadmaps. Review migration velocity metrics with a securities firm's Cloud CoE: identify blockers, escalate gaps. Facilitate QBRs with Group CIOs presenting cloud value realization. Coach CSMs on executive stakeholder management. Join GFS EMEA-APJ leadership syncs to share Japan market insights. You operate across Tokyo, London, and US time zones, balancing deep customer work with team leadership.
About the team
The AWS Industries (AWSI) team is committed to helping industry customers enable their digital transformation journeys. Our primary goal is to meet customers in their cloud journeys and work backwards from their industry-specific needs to transform their businesses and industries. Our team focuses on business outcomes and industry use cases on behalf of our customers, whether that is how we build products and solutions, how we sell, how we deliver, or how we partner.
GFS Japan sits within the broader GFS EMEA-APJ organization. The team partners with Japan's leading banks and capital markets firms to drive cloud transformation at enterprise scale. You'll work alongside a senior GAM leader, a dedicated SA team, TAMs, and Professional Services consultants. The culture is high-trust, high-autonomy: we hire people who operate with conviction and don't need permission to do the right thing for the customer.
Basic qualifications
- 5+ years of leading large-scale, technical or engineering programs with a proven record of thought leadership, business case development, realizing customer benefits, and successful program completion experience
- 2+ years of customer-facing work, engaging with customer executives, technologists or partners to solve business problems with advanced technologies experience
- Experience leading technical and non-technical transformation project teams with a proven ability to work across broad functional teams
- Japanese Fluency and Business level English
Preferred qualifications
-PMP certification, or SCRUM/Agile, SAFe certification
-Experience implementing cloud services including migrations and modernization projects or similar
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.
How we rate this
Senior Customer Solutions Manager, Global Financial Services (GFS), AWS at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where cloud architecture was part of your work. What did you do?
- Tell me about a project where stakeholder management was part of your work. What did you do?
- Tell me about a project where cloud migration was part of your work. What did you do?
- Tell me about a project where ai ml adoption 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 Architecture, Stakeholder Management, Cloud Migration, AI ML Adoption, 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.
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