Sr. Manager, Field Engineering - Healthcare and Life Sciences (Healthcare Providers)
Lead a high-performing team of pre-sales Solutions Architects to drive growth and multi-product adoption in healthcare provider accounts.
Posted by employer 1 week ago
First seen on Joblaze 6 days ago
Last verified on the company career page 16 hours ago
Skills & Technologies
Requirements
- Experience
- 5+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Manager of Field Engineering will lead a team of Solutions Architects focused on enhancing the adoption of Databricks' solutions within healthcare provider organizations. The position requires expertise in enterprise software, big data, and analytics, along with a strong background in team leadership and pre-sales environments. Ideal candidates will have significant experience in the data sector and a proven track record of guiding technical teams to success. This role is pivotal in driving customer success and fostering collaboration across various internal teams.
Joblaze insights
- Listed 6 days ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 916 other open roles including Senior Payroll Analyst, Field Engineering Manager, Specialist Solutions Architects, Senior Support Engineer (GovOps) .
- 248 active Data Science roles on Joblaze right now.
- 148 active Data Engineering roles on Joblaze right now.
- 135 active Big Data roles on Joblaze right now.
- Salary band is in line with the typical range for Management roles (median ~$175,000).
- Pays more than 58% of the 123 salaried Data Science roles we track (median $180,000).
Quick facts
- What's the salary range?
- Databricks lists $192,100–$264,175 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Sr. Manager, Field Engineering - Healthcare and Life Sciences (Healthcare Providers) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Big Data, Data Engineering, Data Science, Healthcare.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr. Manager, Field Engineering - Healthcare and Life Sciences (Healthcare Providers) role at Databricks.
From the original posting
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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.
The impact you will have:
Team Leadership:
- Hire, train, and nurture a team of Solutions Architects, fostering a culture of excellence and innovation.
- Empower your team to navigate technical intricacies, identify key use cases, and build compelling proof of concepts.
- Develop and execute strategies for the continuous growth and success of the Solutions Architect team.
- Foster a culture of continuous learning and development within the team.
Sales Excellence / Databricks Consumption:
- Drive the achievement of sales targets in your region by guiding the Solutions Architect team in qualifying use cases and demonstrating technical proficiency.
- Lead your team in establishing themselves as trusted advisors throughout the entire customer life-cycle.
- Lead your team to excel in technical qualifications, proof of concepts, architecture discussions, product demonstration, and implementation plans.
- Play a crucial role in achieving the technical win in complex sales cycles.
Customer Success and Value Delivery:
- Ensure customer success by making them successful with Databricks solutions, delivering outsized value to their businesses.
- Foster strong relationships across the business landscape, collaborating with partners, sales, and go-to-market teams to maximize customer and team success.
What we look for:
- Experience: 5+ years in the data space with a technical product, such as data warehousing, big data, or machine learning.
- Leadership: 5+ years of experience leading technical teams, preferably in a pre-sales organization, exceeding annual quotas and building strategic accounts.
- Advisory Role: Proven experience as a trusted advisor to technical executives, guiding strategic data infrastructure decisions.
- Team Development: Track record of hiring, training, and promoting qualified candidates for success within the organization.
- Collaboration: Ability to create positive morale within the team and foster effective working relationships with Field Engineering, Sales, and other internal partners.
- Nice to Have: Experience in the healthcare industry especially with hospital systems, healthcare providers, and health plans
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.