Drimva

Amazon

Senior Customer Solutions Manager, Global Financial Services

$169K–$229K

New York, NY · Manager · Full-time · Posted May 27, 2026

Experience
7+ years leading large-scale technical or engineering programs; 3+ years of customer-facing work.
Education
Bachelor's degree in science, technology, engineering, math, or business, or equivalent.

About the job

Leads a global bank’s AWS cloud transformation, coordinating migration, modernization, AI adoption, governance, and measurable business outcomes.

What you'll do

  • Develop and execute cloud migration and transformation plans, including people, process, and operating-model changes.
  • Prioritize AI/ML and Generative AI use cases and guide adoption of relevant AWS services and architectures.
  • Coordinate executive governance, migration workstreams, adoption plans, and outcome tracking across customer and AWS teams.

What they ask for

  • 7+ years leading large-scale technical or engineering programs, including business case development and successful program completion.
  • 3+ years in customer-facing work engaging executives, technologists, or partners to solve business problems with advanced technologies.
  • Bachelor's degree in science, technology, engineering, math, or business, or equivalent.
  • Experience leading technical and non-technical transformation teams across broad functional teams.

Nice to have

  • PMP, SCRUM/Agile, or SAFe certification; or a cloud certification such as AWS Cloud Practitioner or AWS Solutions Architect - Associate.
  • Experience with Data & AI technologies, cloud implementation or migration, cloud architecture, software development, infrastructure, data engineering, DevOps, or selling cloud solutions.

Pay

169,000.00 - 228,600.00 USD annually (base salary)

Tools

AWS, Amazon Bedrock, large language models, RAG architectures, AI/ML, GenAI, Analytics, Database

AI focus

Guide the customer in prioritizing AI/ML and GenAI banking use cases, exploring Amazon Bedrock, large language models, RAG architectures, AI-enabled software development, Agentic AI, and end-user productivity tools.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)