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ExecuNet

VP Data Science & Analytics

Post Date:Jul 07, 2020Type:Full-Time
Start Date:7/7/2020Salary:
Location:US-NY-New York Job Reference:621894
Skills:
 

Job Description:

To help lead the effort, COMPANY’s Chief Data Officer (CDO) is seeking a highly strategic, analytical, organized, and motivated VP, Data Science & Analytics to lead and manage teams that make sense of what happened (“why” things happened) along with a prescriptive point of view on the future (“what’s next”).

You will manage and provide thought leadership for a team of Data Scientists and Analysts within the Data Science team within COMPANY’s Core Data & Analytics Department (CDA). Your team will be the tip of the spear in unlocking the value of COMPANY’s data through insights, predictive analytics, and operationalized data science. You will collaborate with business leaders (VP+) and peers throughout Technology.

 Your responsibilities include but are not limited to:

  • Hire, develop and lead a team of Data Scientists and Analysts
  • Provide thought leadership for Company entire enterprise on Data Science, Machine Learning, and how operationalized DS/ML can drive business impact
  • Collaborate with your peers to create an organizational structure and operating model that seamlessly melds Data Scientists, Analysts, embedded Data Engineers, and other cross-functional roles to partner with business
  • Collaborate with Data Engineering to help shape a roadmap that accelerates leveraging data to drive COMPANY’s business objectives
  • Maintain a high bar for your group and its contribution to the organization
  • Collaborate with other data leaders (CDO, etc) on the success of the Company Data Science Institute, a partnership with Marquette and the University of Wisconsin to promote Data Science education and sponsored research at COMPANY
  • Help shape and drive COMPANY’s data flywheel strategy, which leverages data throughout the business to drive automation and personalization throughout the enterprise
  • Partner with Data Engineering leaders to build and evolve COMPANY’s data science/ML platforms, with a focus on rapid iteration and operational deployment of predictive models
  • Evaluate and help make the call on analytical approaches
  • In collaboration with the CDO, lead strategic planning, roadmap development, and operational planning for your teams

You will know you are successful if…

  • COMPANY’s Data Science organization and solutions make step function advancements under your leadership, with major delivery milestones in 2020 and beyond
  • The value of COMPANY’s data is unlocked through operationalized predictive analytics
  • You successfully collaborate with the business to deliver solutions that successfully drive incremental business value
  • Your stakeholders are delighted by the excellence, impact, and delivery-focused mindset of your team

What We’re Looking For:

  • 10+ years of experience in an analytical or strategic role with experience managing an analytical team/having direct reports
  • Masters or Ph.D. in Mathematics, Economics, Statistics or similar Quantitative Discipline
  • Broad industry experience, with Insurance (Underwriting), Finance, Marketing, and Product Analtyics experience strongly preferred
  • Experience with modern operationalized data science and machine learning pipelines
  • Advanced understanding of languages such as Python, SQL, R
  • Experience with Machine Learning Algorithms
  • Delivers excellent verbal and written communication to include expression of facts and ideas, interpretation of information and the ability to make clear and convincing presentation
  • Ability to navigate the levels of audiences and articulate ideas to both technical and non-technical audiences
  • Sets and manage priorities judiciously
  • Maintains strong self-motivation and team motivation through high degrees of collaboration
  • Team lead who occasionally performs work independently
  • Exhibits superior analytical, evaluative, and problem-solving abilities
  • Very comfortable with ambiguity and enjoys creating structure out of chaos




Contact Information
ExecuNet



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