Insurance General Manager

Salary depends on experience
Posted on 06/28/18
Boston, MA
11 - 15 years experience
Professional, Scientific & Technical Services
Salary depends on experience
Posted on 06/28/18

Summary of Role

DataRobot is seeking an experienced Insurance professional to lead our Insurance (Property & Casualty, Life, Reinsurance) practice as Insurance General Manager (GM). The Insurance GM is responsible for developing and executing on the worldwide go-to-market strategy for DataRobot in Insurance including sales, marketing, partners, and product.  The Insurance GM will have an executive-level grasp of trends, business drivers, and priorities in Insurance combined with a viewpoint on the potential for machine learning to transform the industry.

DataRobot is one of the hottest AI start-ups in the world and Insurance is one of our most successful and highest potential markets.  DataRobot is defining a category called automated machine learning and has already raised more than $122M from the likes of NEA, Intel Ventures and New York Life to fuel its expansive ambitions.  

 

Responsibilities

  • Develop comprehensive overall go-to-market strategy for DataRobot in Insurance.
  • Work with Sales to implement a successful sales plan that exceeds revenue targets.
  • Engage with Product to define and advocate for critical industry requirements.
  • Collaborate with Marketing to develop vertical specific marketing plan.
  • Interact closely with Insurance customers to understand needs and drive adoption
  • Leverage relationships and contacts in the industry to enhance sales and marketing efforts.
  • Establish DataRobot as a thought leader in the space through speaking engagements, interviews, writing, and other related means.

Requirements:

  • 10+ years of experience working in the Insurance domain, with 5+ years in a leadership role in a line of business, internal department, analytics team, or consulting practice.
  • Deep understanding of insurance market/ products/ functions and an ability to be a thought leader in the space.
  • Familiar with machine learning and data science and understand the key applications and use cases in Insurance.
  • Hands-on data science expertise is a plus.
  • Industry eminence: solid industry contacts, network, and meaningful relationships with many insurance professionals.
  • Excellent written and verbal communication skills and willingness to present at events and write Insurance related content in support of building the practice.
  • Located in a key market for Insurance with an ability to travel 50%+
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