AVP

  • 39022
  • Life - Data Science
  • |
  • New York, United States
  • |
  • Feb 2, 2021
Insurance
RESPONSIBILITIES
  • Play a strategic and leadership role in developing and articulating the evolving, business aligned data and analytics strategy to our key business stakeholders.
  • Work closely with senior management to champion big data / analytics as a central decision-making resource to increase company performance, develop new products, and gain competitive advantage.
  • Execute the communication plan and the understanding of a phased approach by which to provide analytics solutions to priority business areas and leverage potential growth opportunities using analytical models.
  • Participate in business intelligence projects by translating business questions and problems into structured analysis, reports, and tools.
  • In collaboration with our data scientists, effectively communicate the design, implementation, and operation of a big data analytics approach to our business segments. Advise on scalability and innovation and how it extracts, manages and analyzes data, including the development, selection and ongoing support of system-wide reporting and analytic environments and tools.
  • Manage high level business relationships partnering closely with technology, actuarial, marketing, and others to ensure an integrated approach where it makes sense under the umbrella of an enterprise strategy.
  • Develop innovative approaches to linking internal data to external data, identifying insights and articulating those insights to key business stakeholders.
  • Driving implementation of products and processes designed to leverage data analytic insights to create value.
QUALIFICATIONS
  • A Bachelor’s degree is required. An MBA or a Master’s Degree or higher in technical studies including computer science, engineering or mathematics is preferred. In additional, financial professional designations (FSA, CPA) are also preferred.
  • Strong general quantitative skills with a general understanding of analytical and data management methods.
  • Broad knowledge of data architecture design (data marts, etc.) and data modeling principles.
  • Working knowledge of financial and management information reporting practice and requirements.
  • Strong interest in and experience using technology to effect process improvements.
  • Strong leadership and relationship building skills and the ability to work with multiple stakeholders.
  • Ability to influence organizational change.
  • Very strong ability to communicate and present to senior and executive level management.
  • Eight or more years of experience in data management and a predictive modeling environment including business intelligence.
  • Progressive leadership experience required.