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Director, Enterprise Sales - Healthcare

Job Overview

Location

New York, USA

Job Type

Full-time

Category

Account Executive

Date Posted

February 24, 2026

Full Job Description

đź“‹ Description

  • • As the Director, Enterprise Sales - Healthcare at Databricks, you will be instrumental in shaping the future of data and AI within the healthcare industry. This pivotal leadership role involves guiding an established team of high-performing Enterprise Account Executives who are dedicated to serving large provider accounts. Your primary mission will be to drive the team's success in achieving ambitious sales quotas and significantly expanding Databricks' footprint and usage within this critical sector.
  • • You will inherit a team comprised of passionate, technically adept professionals who are deeply committed to building robust data ecosystems and enabling customer and partner success. Your leadership will be crucial in nurturing this talent, fostering a collaborative environment, and empowering each team member to reach their full potential.
  • • A core aspect of your role will be to instill and champion a culture centered on delivering measurable business value and achieving tangible, desired customer outcomes. This involves guiding your team to adopt and excel in value-based selling methodologies, ensuring that every engagement with a client highlights the transformative impact of Databricks' solutions.
  • • Building and maintaining trust-based relationships with key stakeholders within customer organizations and with strategic partners will be paramount. You will be expected to cultivate these relationships to ensure long-term customer loyalty, satisfaction, and continued growth, positioning Databricks as an indispensable partner in their data and AI journey.
  • • You will play a vital role in keeping your team at the forefront of innovation, driving continuous learning and adoption of Databricks' cutting-edge data intelligence and Generative AI solutions. This includes understanding the evolving landscape of healthcare data challenges and opportunities and aligning Databricks' offerings to address them effectively.
  • • As a key contributor to the regional growth strategy, you will actively participate in planning and execution, ensuring forecast accuracy and building a sustainable, high-growth business focused on customer success. Your strategic insights and operational excellence will be critical to achieving these objectives.
  • • Your leadership will directly impact the team's ability to overachieve on their individual and collective goals and objectives. This requires a proactive approach to coaching, performance management, and strategic account planning.
  • • You will be responsible for driving the adoption and expansion of Databricks' platform within enterprise healthcare organizations, focusing on key areas such as data warehousing, data engineering, machine learning, and AI applications tailored to the healthcare sector.
  • • This role demands a deep understanding of the healthcare industry's unique challenges, including data privacy regulations (like HIPAA), interoperability issues, and the increasing need for advanced analytics to improve patient care, operational efficiency, and research outcomes.
  • • You will collaborate closely with internal teams, including marketing, product management, and customer success, to ensure a cohesive and effective go-to-market strategy for the healthcare segment.
  • • Your ability to articulate the Databricks vision and value proposition to C-level executives, IT leaders, and data science teams within healthcare organizations will be essential for success.
  • • You will be expected to identify and develop new business opportunities within your team's territory, leveraging your expertise in enterprise sales and your understanding of the healthcare market.
  • • Mentoring and developing Account Executives, providing them with the skills, knowledge, and support needed to navigate complex sales cycles and close significant deals, will be a continuous focus.
  • • You will contribute to the overall strategy and direction of Databricks' Healthcare business unit, providing valuable market feedback and insights.
  • • Ultimately, your success will be measured by your team's quota attainment, the growth of Databricks usage within your accounts, and your ability to build a thriving, customer-centric sales organization.

🎯 Requirements

  • • 5+ years of successfully building and leading high-growth sales teams serving enterprise customers within Big Data, Cloud (Azure, AWS, GCP), Analytics, or AI spaces.
  • • Proven track record of exceeding quota and thriving in hyper-growth enterprise technology companies.
  • • Deep understanding of value selling and sales methodologies such as MEDDPICC, Challenger, or Command of Message.
  • • Strong understanding of the healthcare industry, its challenges, and the role of data and AI in transforming patient care, operations, and research.
  • • Experience developing partner ecosystems to help grow strategic enterprise territories and ensure customer success.

🏖️ Benefits

  • • Competitive salary and commission structure, including eligibility for annual performance bonus and equity.
  • • Comprehensive health, dental, and vision insurance plans.
  • • Generous paid time off (PTO) and holidays.
  • • Opportunities for professional development and continuous learning.
  • • Access to cutting-edge technology and a collaborative work environment.

Skills & Technologies

AWS
Azure
GCP
Apache Spark
Remote

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Databricks Inc.
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About Databricks Inc.

Databricks provides a unified data and AI platform built on Apache Spark. Its lakehouse architecture combines data lakes and warehouses to enable collaborative analytics, machine learning, and real-time processing at scale. The company offers managed cloud services, Delta Lake storage, MLflow for ML lifecycle, and collaborative notebooks. Founded in 2013 by the creators of Spark, Databricks serves enterprises seeking to unify data engineering, data science, and business analytics on a single platform.

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