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Strategy & Execution Manager - Deal Desk Transformation
Databricks · Mountain View, California; San Francisco, California
$163k to $224kSenior
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SLSQ327R892
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
At Databricks, we are passionate about helping data teams solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Databricks is looking for a motivated Strategy and Execution Manager to join our Deal Desk Transformation team that helps define Quote-to-Order (QtO) strategy and drive scalability. You will collaborate with the Deal Desk functions, senior leaders, and stakeholders across lines of business to execute on process and system enhancement projects. You will also own the operating model and automation roadmap for cloud Marketplace Private Offers across AWS, Azure, and GCP. Managing stakeholder expectations and ensuring smooth implementation of process/system changes are key aspects of this role. You will be accountable for end-to-end transformation project lifecycle support, from strategic QtO process design and requirements gathering through User Acceptance Testing (UAT), go-live, and post-release enablement and support. Your ability to manage resistance to change, lead cross-functional conversations, and influence stakeholders sets you apart. You thrive in a dynamic environment and excel at problem-solving, project management, and driving results. You are passionate about helping us build a Deal Desk function with industry-leading business agility, process scalability, and automation in an environment of rapid growth.
The impact you will have:
Collaborate cross-functionally with Business Strategy & Operations, Finance Data and Strategy (FDS), IT systems teams, and relevant stakeholders such as GTM, Legal, Order Management, Field Sales, and Finance to roll out new and improved system/process enhancements and new commercialization initiatives
Effectively enable internal stakeholders and field organization on new system/process enhancements and new commercialization initiatives
Be a trusted partner to the Strategy & Execution Leadership by being independently capable of driving small-to-medium projects and initiatives
Contribute to the delivery team by working with the IT, business, and product owners to refine user stories and requirements and perform UAT and go-live on said requirements
Solve complex business problems by breaking them down into tangible steps for business systems developers to implement.
Own the end-to-end Marketplace Private Offer process across AWS, Azure, and GCP: intake, offer creation, matching price and terms to the approved CPQ quote, custom EULA handling, acceptance tracking, and handoff to Order Management and Billing
Design and deliver automation across the offer lifecycle, such as generating offers directly from approved quotes, syncing offer status and acceptance back to Salesforce, and flagging offers that are expiring or don't match the booking, to shorten cycle times and reduce manual errors
Partner with Cloud Partnerships, Finance, and Billing to reconcile marketplace transactions against bookings (commit drawdown, usage metering, disbursements), including partner-led scenarios such as AWS CPPO and Azure multiparty private offers
Define and report Private Offer KPIs such as turnaround time, acceptance rate, rework rate, and share of offers processed without manual work
Shape QtO strategy and set up prioritization processes so the team works on the right things at the right time
Formulate your own key questions and analyze large datasets from multiple sources to identify the highest-impact opportunities and actionable insights.
What we look for:
6+ years of experience in a business analyst, operations strategy, tech quote-to-cash, or corporate strategy role (with a focus on operation
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