Senior Sales Specialist, Analytics, Enterprise

Analytics Sales Specialist

As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their AI and technical capabilities to create business success. You will work backwards from customer goals and you'll create strategic plans that align AWS solutions with their desired outcomes. You will educate customers on "art of the possible" success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis and MSK for real-time data streaming and processing; and Amazon OpenSearch, a managed search and analytics engine. You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case.

The ideal candidate combines strategic sales leadership with deep technical and business acumen. You will collaborate across AWS teams, including sales representatives, solutions architects, product managers, professional services, and partners to drive customer success. You should have experience engaging confidently with both C-suite executives and technical stakeholders, demonstrating the ability to translate complex technical solutions into clear business value. Your background should reflect success in building consensus across organizations, developing compelling value propositions, and navigating technical and business challenges. Experience in strategic analysis, enterprise sales, and technical solution development is essential, as you'll need to understand both the technical architecture and business implications of modern data and AI solutions.

Basic Qualifications

- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience- 5+ years of business development, partner development, sales or alliances management experience- 10+ years of professional experience

Preferred Qualifications

- Experience working with windows server technologies- 4+ years of virtualization environment experience based on Microsoft Hyper-V, KVM, and VMware products experience- Experience negotiating license or business development agreements