Senior Partner Agreements BD Lead, AWS Partner Agreements

Job :  | Amazon Web Services, Inc.

We're looking for a builder who wants to stand up and run the deal desk for AWS partner agreement programs. This role owns the end-to-end operational processes that take a partner agreement from program design and partner selection through execution and performance measurement. You'll define how deals move through the pipeline, establish the procedures and quality controls that ensure accuracy at every stage, and build the infrastructure to scale these processes as the portfolio grows.

• Establish and operate the deal desk for partner agreement programs, defining the procedures, checkpoints, and quality controls that govern how agreements move from design through execution
• Build repeatable, scalable deal processes that ensure data accuracy, consistent partner experience, and reliable performance measurement across all agreement types
• Align cross-functional stakeholders (data engineering, sales operations, business planning, finance) on the inputs, validations, and handoffs required at each stage of the deal lifecycle
• Identify and drive opportunities to apply AI and automation to deal desk operations, progressively replacing manual steps with intelligent, scalable systems
• Monitor deal flow health, identifying where processes break, data quality degrades, or cycle times lag, and driving resolution to keep the desk running accurately

This is a high-ownership role. You'll define how the deal desk operates, what the standards are, and how we scale a growing portfolio of agreement programs without sacrificing accuracy or speed. If you like building operational rigor into complex, cross-functional processes, this is for you.

• Stand up and operate the deal desk for partner agreement programs, establishing the procedures, workflows, and quality controls that govern the full deal lifecycle from program design through execution and performance tracking
• Define and enforce deal desk standards across all agreement types, ensuring every deal passes through consistent checkpoints for data accuracy, financial validation, and stakeholder sign-off
• Architect end-to-end deal workflows that reduce manual handoffs, establish clear ownership at each stage, and scale through progressive automation
• Align cross-functional stakeholders across data engineering, sales operations, finance, legal, and business planning on the inputs and validations required at each deal stage
• Identify and implement AI and automation opportunities across deal desk operations, transforming manual, repetitive processes into intelligent systems that improve speed, accuracy, and partner experience
• Incubate new deal processes as the organization introduces new agreement types, prototyping manually, validating with real deals, then codifying proven patterns into scalable procedures
• Monitor deal desk operational health, tracking cycle times, error rates, and process exceptions, and driving continuous improvement

Your day starts at the deal desk. You might begin the morning reviewing the deal pipeline, checking where agreements are stalling and what needs to move. By mid-morning, you're working with a data engineering team to validate that the numbers flowing into a partner's performance report are accurate. After lunch, you're designing the intake process for a new agreement type that doesn't fit existing procedures.

Between meetings, you're exploring where AI can eliminate friction: auto-validating deal inputs, flagging data inconsistencies, or streamlining approval workflows. Your stakeholders span data engineering, sales operations, finance, business…