Manager, Delivery Solutions Architects

CSQ128R80

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information.

Location: Central or East Coast, United States

Build and lead a team of Delivery Solution Architects. DSA’s lead the post-sales technical strategy for our Public Sector customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem.

As a DSA Manager, you will shape and monitor the post-sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales, and professional services teams as well as partners. You will be responsible for the DSA Public Sector team and will report to the Sr. Manager, DSA, in the region.

You will make investment decisions in collaboration with the sales and pre-sales managers for your region. You will help shape and refine the value proposition of the DSA role for your region and promote it to sales teams and customers.

You will serve as a technical sponsor and thought leader to a select number of customers. You will hire and coach your team (of Delivery Solution Architects) to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production faster.

You and your team will contribute to creating assets to build the Delivery Solution Architecture practice and to improve effectiveness and consistency in working with customers.
The Impact you will have:

• Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)
• Hire, coach, and grow a team of Delivery Solutions Architects for a company in high-growth mode
• Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and staying in line with the other field functions while consistently exceeding their certification goals
• Assign accounts and distribute work across individuals for optimal customer coverage and team balance
• Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology
• Build relationships and partner with Sales, pre-sales, and professional services teams to accelerate the growth of customers
• Work with cross-functional teams to reduce customer risk and help your team with escalations and address any issues or blockers
• Lead team activities to monitor customer progress and forecast growth
• Provide input to grow and improve internal processes, drive operational rigor, and lead programs that drive impact across the organization
• Maintain a robust hiring pipeline at all times

What we look for:

• U.S. Citizenship (required due to Public Sector client support)
• 7+ years of successful experience in a customer-facing role
• Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science
• Experience building and leading technical post-sales teams - hiring, onboarding, and enabling post-sales professionals
• Trusted advisor to technical executives that guide strategic data project delivery decisions
• Lead a team through best practices for architecture discussions, use case Go-Lives, creating project and execution plans and customer growth strategy
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
• Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role
• Conversant with business issues our customers face today and likely big data use cases in different industries
• Travel up to 30% around the D.C. Metro area