Sr. Manager, Field Engineering - Healthcare and Life Sciences (Healthcare Providers)

<p>FEQ427R378</p> <p>Reporting to the Field Engineering Leader for Healthcare Provider Organization, the Solutions Architect Senior Manager will play a pivotal role in leading a high-performing team of pre-sales Solutions Architects. The team will specialize in driving growth and multi-product adoption at healthcare provider accounts of varying size and TAM. Your responsibilities will encompass team leadership, strategic collaboration with the sales organization, and ensuring the successful implementation of cutting-edge solutions in enterprise software, big data/analytics, data engineering, and data science.</p> <p>The impact you will have:</p> <p>Team Leadership:</p> <ul> <li>Hire, train, and nurture a team of Solutions Architects, fostering a culture of excellence and innovation.</li> <li>Empower your team to navigate technical intricacies, identify key use cases, and build compelling proof of concepts.</li> <li>Develop and execute strategies for the continuous growth and success of the Solutions Architect team.</li> <li>Foster a culture of continuous learning and development within the team.</li> </ul> <p>Sales Excellence / Databricks Consumption:</p> <ul> <li>Drive the achievement of sales targets in your region by guiding the Solutions Architect team in qualifying use cases and demonstrating technical proficiency.</li> <li>Lead your team in establishing themselves as trusted advisors throughout the entire customer life-cycle.</li> <li>Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstration, and implementation plans.</li> <li>Play a crucial role in achieving the technical win in complex sales cycles.</li> </ul> <p>Customer Success and Value Delivery:</p> <ul> <li>Ensure customer success by making them successful with Databricks solutions, delivering outsized value to their businesses.</li> <li>Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success.</li> </ul> <p>What we look for:</p> <ul> <li>Experience: 5+ years in the data space with a technical product, such as data warehousing, big data, or machine learning.</li> <li>Leadership: 5+ years of experience leading technical teams, preferably in a pre-sales organization, exceeding annual quotas and building strategic accounts.</li> <li>Advisory Role: Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions.</li> <li>Team Development: Track record of hiring, training, and promoting qualified candidates for success within the organization.</li> <li>Collaboration: Ab