Executive Director

  • 35366
  • Life - Data Science
  • |
  • Missouri, United States
  • |
  • Jun 12, 2019
Reinsurance
RESPONSIBILITIES
  • Execute data & analytic projects aligned with company strategy.
  • Collaborate with business stakeholders to support scope, development and commercialization of insight-driven solutions.
  • Contribute to company global data & analytics strategy as well as execution roadmap.
  • Lead data & analytics projects from launch through delivery. Understand business objective, scope solution including data sources, create & manage execution plan and lead a virtual, matrixed delivery team of data scientists, business analysts, technology specialists etc. Responsible for overall success of the project, including quality and value realization.
  • Maintain data, quality and protocol standards set by Global Data & Analytics aligned with Global Research Data & Analytics. Viewed as expert in data & analytics domain for relevant region or business.
  • Collaborate with business stakeholders to support scope, development and commercialization of insight-driven solutions. Define, scope and document plans for execution of client data & analytic initiatives as well as responsible for execution in relevant region or business. Responsible to clients for timeline as well as quality of deliverables.
  • Responsible for creation and execution of annual roadmap in relevant region or business aligned to annual Global Data & Analytics plan.
  • Foster a positive and engaged work environment. Continuously learn and support talent development. Participate in data & analytics peer community.
  • Perform other duties as required; maintain regular and predictable attendance.
QUALIFICATIONS
  • Master’s degree in Economics, Finance, Math, Statistics or related field OR Bachelor’s degree in Actuary Science with FSA-equivalent certification.
  • Minimum eight years of hands-on analytic experience in industry.
  • Advanced statistical modelling skills.
  • Advanced data management and manipulation skills.
  • Advanced knowledge of contemporary statistical analysis packages.
  • Understanding of contemporary data architecture.
  • Outstanding programming skills in modern programming language and SQL.
  • Excellent relationship skills with ability to work well across geographic locations.
  • Ability to liaise with individuals across a wide variety of operational, functional and technical disciplines.
  • Ability to operate effectively in a matrixed environment, including solid and dotted line reporting relationships.
  • Ability to make effective decisions to produce quality results on plan.
  • Excellent oral and written communication skills, including presentation skills.
  • Ability to transform technical information into business results in a way that is meaningful and well received by stakeholders.
  • Entrepreneurial spirit; Comfort with ambiguity paired with initiative to make things happen.
  • Preferred:
  • Doctorate in Economics, Finance, Math, Statistics or related field.
  • Ten or more years of hands-on analytic experience in industry.
  • 2+ years of industry experience in insurance or reinsurance, preferably life or health.
  • Knowledge of life insurance underwriting.
  • Knowledge of insurance claims.
  • Understanding of reinsurance concepts and methods.
  • Knowledge of mortality and morbidity insurance products.
  • Start-up experience.