Enterprise Analytics Sales Leader - Data & AI Solutions

Amazon Web Services (AWS); Dallas (TX); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Web Services, Inc. is seeking an Analytics sales specialist to drive growth by helping customers leverage AWS analytics and AI services.

You will articulate business value, align AWS solutions with customer outcomes, and collaborate with specialists to craft multi-solution proposals for strategic accounts. The role requires engaging with C-suite and technical stakeholders, building consensus, and managing the sales process from evaluation to pricing and proofs of concept.

Qualifications

• 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives.

Responsibilities

• Drive revenue and market share in a defined territory.
• Meet or exceed annual revenue targets.
• Develop and execute against a comprehensive account/territory plan.
• Develop working backwards analytics visions including business case and financial justification, potentially gleaned from earnings reports.
• Create & articulate compelling value propositions around AWS analytics services.
• Accelerate customer adoption of Amazon analytics services.
• Maintain a robust sales pipeline leveraging sales force automation tools and best practices.
• Work with partners to extend reach & drive adoption.
• Develop long‑term strategic relationships with key accounts.
• Ensure customer satisfaction.
• Expect moderate travel.

Skills

C-level engagement

Strategic sales

Go-to-market planning

Big data architecture

Job description

Amazon Web Services, Inc. is seeking an Analytics sales specialist to drive growth by helping customers leverage AWS analytics and AI services.

You will articulate business value, align AWS solutions with customer outcomes, and collaborate with specialists to craft multi-solution proposals for strategic accounts. The role requires engaging with C-suite and technical stakeholders, building consensus, and managing the sales process from evaluation to pricing and proofs of concept.