Sr. Manager, Business Development – Data Services (Analytics & Storage), SSO (Service Specialist Orgnization)
Amazon
- Location
- CN, 13, Beijing
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
- 15h ago
Skills
About this role
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Would you like to lead a high-performing specialist organization driving revenue growth, product adoption, and market leadership for the AWS Analytics and Storage portfolios? Would you like to be part of a specialist organization that turns deep product expertise into scaled field execution — accelerating how enterprise, digital-native, and startup customers modernize their data estate? Do you have the product depth, market instinct, and enablement discipline to further establish AWS as the undisputed leader in cloud data services? As the Sr. Manager, Data Services, you will own the strategy and execution for two of the most strategically connected portfolios in AWS: Analytics — the layer where customers derive value from data — and Storage — the foundation on which that data lives. Bringing these teams under single leadership is deliberate: modern data architectures (lakehouse, zero-ETL, open table formats and Agentic AI data pipelines) collapse the traditional boundary between storage and analytics. You will be accountable for a unified data services narrative, a single go-to-market motion, and a shared enablement engine that makes the whole greater than the sum of its parts. This is fundamentally a scale role. Success is not measured by the deals you personally close, but by the leverage you create: your ability to take one proven win, convert it into a repeatable play, enable a hundred sellers to run it, and drive a thousand customer adoptions from it. We are looking for a leader who is a genuine product person at heart — someone who reads the roadmap, forms an independent point of view on where the market is heading, and can teach that point of view to others at scale. The ideal candidate combines a pre-sales / solutions pedigree with the business judgment to engage at the CxO/VP level and the technical credibility to hold their own with data engineers, platform architects, DBAs, and developers. You should demonstrate the ability to think strategically and analytically about business, product, and technical challenges, build and convey compelling value propositions, and work cross-organizationally to build consensus. A strong sense of ownership, bias for action, and the ability to deliver results in ambiguity is essential. What Makes This Role Different Beyond the standard specialist leadership mandate, we are hiring against four differentiating capabilities. Candidates will be assessed explicitly against each. 1. Deep product understanding, not surface familiarity: You can explain not just what a service does, but why it is architected that way, where its boundaries are, when a competitor is genuinely better, and how the roadmap changes the answer six months out. You are expected to hold a defensible technical opinion in front of both a customer architect and a service GM. 2. Sharp market and technology trend sensing: You track the data ecosystem — open table formats, lakehouse convergence, zero-ETL, vector and agentic data access patterns, data governance and sovereignty, storage economics and tiering, the competitive moves of hyperscalers and independent data platforms. You translate weak signals into early GTM bets before they become obvious, and you are willing to be accountable for those calls. You should be also very close to market trend and product iterations from other CSPs and big logos (e.g. Databricks). 3. Field guidance that changes outcomes: You do not simply relay headquarters messaging. You sit with account teams on real