Sr Sales Specialist, Analytics, Financial Services

AI in this role

Drive analytics and AI solution sales for financial services customers leveraging AWS data and machine learning services.

bedrocksagemakeramazon-redshiftamazon-athenaamazon-emraws-glueaws-lake-formationaws-sagemakeramazon-kinesisamazon-opensearchamazon-bedrock

enterprise-salesdata-analyticscloud-computingai-solutions

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.

Key job 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.

About the team
The Amazon Specialist Sales team positions AWS as the best place to move customer workloads into the cloud. As part of a single-threaded sales team focusing on Financial Services customers you will be responsible for working with strategic customers and their existing account teams to qualify and pursue sales opportunities for enterprise application workloads and datacenter migration projects. You will engage with our segment sales, solutions architects, partner, and professional services organizations to drive highly complex opportunities to closure. These opportunities will include migrating Data Warehouses and building Data Foundations for AI. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Basic qualifications

- 7+ years of B2B or enterprise sales with a focus on hunting new business experience
- 7+ years of technology/software sales experience

Preferred qualifications

- 5+ years of building profitable partner ecosystems experience
- Experience developing detailed go to market plans
- Experience across the Data specialty

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually
USA, GA, Atlanta - 142,800.00 - 193,200.00 USD annually
USA, MA, Boston - 142,800.00 - 193,200.00 USD annually
USA, NJ, Jersey City - 157,100.00 - 212,600.00 USD annually
USA, NY, New York - 157,100.00 - 212,600.00 USD annually

How we rate this

Sr Sales Specialist, Analytics, Financial Services at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Enterprise SalesData AnalyticsCloud ComputingAI SolutionsBedrockSagemakerAmazon RedshiftAmazon Athena

Questions you could be asked

Tell me about a project where enterprise sales was part of your work. What did you do?
Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where ai solutions was part of your work. What did you do?
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Enterprise Sales, Data Analytics, Cloud Computing, AI Solutions, and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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