Senior Customer Solutions Manager, Global Financial Services

Amazon Amazon · Big Tech · NY +1 · Solutions Architect

Senior Customer Solutions Manager for Global Financial Services at AWS, focusing on accelerating cloud transformation and driving innovation with Generative AI, data analytics, and cloud-native architectures for a leading Tier-1 bank. The role involves understanding customer business objectives, translating them into actionable plans, guiding adoption of AWS services, and identifying high-impact AI/ML use cases, including GenAI, LLMs, RAG, and Agentic AI.

What you'd actually do

  1. Help the customer identify and prioritize high-impact GenAI and AI/ML use cases.
  2. Guide exploration of Amazon Bedrock, large language models, RAG architectures, and modern data services to solve complex banking challenges.
  3. You will help drive transformation of customers' software development lifecycle (SDLC) with AI, and enable end-to-end workflows with Agentic AI and end-user AI productivity tools.
  4. Work backwards from the customer's cloud business case to define the cloud migration / digital transformation strategy, guiding people, process, and operating model changes for customer success.
  5. Establish and manage an outcome-driven adoption plan.

Skills

Required

  • Cloud transformation strategy
  • Generative AI
  • AI/ML use cases
  • Amazon Bedrock
  • Large language models
  • RAG architectures
  • Modern data services
  • Agentic AI
  • End-user AI productivity tools
  • Customer relationship management
  • Program management
  • Technical and business acumen
  • Executive engagement
  • Financial services industry knowledge

Nice to have

  • Cloud Business Office capabilities
  • Thought leadership
  • Mentoring junior CSMs

What the JD emphasized

  • customer objectives
  • long-term value
  • cloud transformation
  • AI/ML technologies
  • customer's business vision
  • cloud transformation journey
  • customer's strategic goals
  • customer outcomes
  • customer's long-term success
  • large-scale programs
  • customer success
  • GenAI and AI/ML use cases
  • complex banking challenges
  • Agentic AI
  • end-user AI productivity tools
  • Cloud Business Office
  • customer maturity and adoption progress
  • measurable business outcomes