Client Partner – Financial Services

• Required: Minimum of 3 years selling professional services (consulting, systems integration, or technology services) into the financial services industry. Software or product-only sales experience does not meet this requirement.
• Required: Demonstrated experience selling AWS cloud services, such as platform foundations, DevOps, security and compliance, resiliency, migration and modernization, data and analytics, or AI engagements.
• Required: Track record of leading direct sales with financial services clients as the primary relationship owner, not only through partner-sourced deals
• Experience working with AWS partnership teams (account managers, partner development managers, AWS programs and funding)
• Active or past responsibility for co-selling with partners such as AWS ProServe or Anthropic is a plus
• Proven record of meeting or exceeding quotas for professional services, including scoping engagements, pricing time-and-materials and fixed-fee work, and closing SOWs

• Strong presentation skills and the ability to explain technical concepts in business terms at every level of an organization
• Familiarity with business development methods, including technology roadmaps, assessments, and proofs of value
• Bachelor’s degree required; advanced degrees or certifications in cloud (e.g., AWS), AI, or related fields are a plus

Industry & Solution Focus

• Financial Services: Wealth Management, Asset Management, Insurance, Banking, Cards / Payments
• AWS Cloud Transformation: Enterprise Program Governance / PMO, DevOps, Security & Compliance, SRE & Resiliency, App Modernization, Data & Analytics, and AI
• Artificial Intelligence: GenAI and agentic AI with Amazon Bedrock and Anthropic Claude
• Client Solutions: ServiceNow
• The Client Partner is expected to understand each competency well enough to find the opportunity
• and bring in the competency lead to shape the solution.
• Enterprise Program Governance / PMO: Program and engagement management, IT transformation, mergers and acquisitions, and integration offices for large cloud programs
• DevOps: DevOps platforms that deliver infrastructure and deployment pipelines through automation, including account, network, pipeline, and container foundations
• Security & Compliance: SecOps platforms that deliver security and compliance policies as code, including identity and control foundations, policy as code, and our Control Broker asset
• SRE & Resiliency: Monitoring, observability, and automated resiliency testing, including game days, chaos experiments, and performance testing for critical workloads
• App Modernization: Re-designing, re-factoring, and re-platforming applications to run AWS-native, including monolith-to-microservices and migration programs
• Data & Analytics: DataOps platforms for data ingestion, governance, and analytics, including lakehouse, data mesh, data marketplace, and catalog work
• AI: Designing, building, and tuning AI, GenAI, and agentic AI solutions on AWS (Amazon Bedrock, SageMaker) and with Anthropic Claude
• Each competency is backed by 35+ AWS reusable solution accelerators (playbooks
• and libraries) that shorten timelines and reduce risk. The CP uses these assets to differentiate Vertical Relevance in every pursuit.