Senior Manager Presales - Data Services (AWS / Azure / GCP) (Remote role in USA)

In this role you will be helping to grow the Rackspace Cloud data practice.  You will be the expert in the region and lead the team of data architects and data scientists to support the sales of our data projects on AWS, Azure and GCP.  Solution Architect (Data) is client facing, thought leader and pre-sales technologist that is responsible for understanding clients’ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional service.This is a solutions pre-sales role that places significant emphasis on consultative engagements with a wide range of customer stakeholders; Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams. Successful candidates will be adept at evangelizing the Rackspace Data Services value proposition – across Professional Services and Managed Services; aligning it to each unique set of customer challenges and articulating the business benefits that can be delivered. A key aspect of the role is to engage with customers early in their transformation journey to establish Rackspace credentials as a partner that can help assess, plan and execute the required data transformation or modernization.

Responsibilities:-

• Lead a team of presales data architects and data science architects.
• Data Architect is client facing, pre-sales technologist that works with designated accounts and acts as a technical advocate for Rackspace clients.
• Data Architect is responsible for understanding clients’ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services.
• Is considered a thought leader and develops IP & collateral for data and analytics.
• Sells and positions implementation and advisory services primarily in their assigned LOB, but also understands and advises clients on where other strategic and advisory services fit their needs.
• Client Facing Sales Support – Works with sales account team, interfacing directly with the Rackspace prospects and customers.
• Builds trusted advisor relationships, understanding client’s business challenges and proposing solutions.
• Develops High Level Designs and Architectures – Creates and documents architectures that address client business problems which can be used to ensure a smooth transition from presales to delivery.
• Create Proposals – Develop proposals, SOWs (Statements Of Work), business cases and RFP responses,
• Sales Planning – Work with management and sales teams to develop account prioritization and support strategies that will ensure a long-term trusted relationship status.
• Partner Relationship Management – Develop healthy and trusted relationships with key partners in the geography.
• Intellectual Property Development – Contribute to the development of Rackspace intellectual property and industry recognition (white papers, speaking engagements etc.
• Administrative Overhead – Respond to email, phone calls, complete timesheets in a timely manner, expense reports and status reports as required Administrative Overhead.
• Drive continuous sales enablement programs to train the field sales, demand gen and marketing teams on the services and solutions.
• Assist the marketing team to drive acquisition and cross / upsell campaigns.
• Training – Develop and execute a professional plan that will enhance skills for self and team.
• Contribute to sales process improvement, including developing knowledge bases, creating sales tools, and mentoring other Solutions Architects. 

Technical Requirements:

• Strong background in Data Engineering and/or Data Science on either AWS, Azure or Google Cloud.
• Strong background in presales with 5+ experience as a data architect role and 2+ years of experience leading presales teams.
• Experience providing a breadth of architecture leadership around Modern Data Platforms, Cloud Analytics, Visualization, Data Integration, Data Science, Machine Learning, and Data Governance.
• Strong Spark, SQL, Data Modeling, Data lakehouse concepts.
• Experience in defining the technical architecture on public cloud for data platforms.
• Proven experience in migrating data warehouse and Hadoop systems from onpremise to cloud.
• Demonstrated ability to apply technical background and knowledge to business direction by developing service offerings, go-to-market strategies, business planning, and other activities important to building business.
• Demonstrated ability to drive sales, sequencing activities and deliverables to the client to value sell, earn trust and enhance margin.
• Proven experience articulating technical viewpoin