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Data Science & Analytics Director (R5833)

American Family Insurance

Madison, Wisconsin 53783
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Full Time
1st Shift
  • Data Analytics
  • Data Engineer
  • Data Scientist
  • Statistician
American Family Insurance
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Job Details

Preferred candidate will have a MS or PhD and bring deep data science and leadership experience, with the ability to lead strategy, architecture, development and integration of advanced analytics, driving business impact across the organization.

Candidate will demonstrate good versatility, serving as both strong internal business partner and divisional leader, as well as a key technical advisor for the team across a wide spectrum of machine learning and statistical techniques.

This position is responsible for oversight and strategic direction of advanced analytics, including predictive modeling, that drive business performance consistent with company goals and objectives. Works with internal business partners to understand and validate scope of advanced analytics projects and directs projects teams to support those projects. Collaborates within the division and cross-divisionally to develop and integrate statistical models into various processes. Oversees research of new and innovative analytic tools and techniques. Monitors industry trends in analytics and investigates new concepts, ideas, and data sources.


Specialized Knowledge and Skills Requirements

  • Demonstrated experience providing customer-driven solutions, support or service
  • Demonstrated ability to develop strategic partnerships.
  • Demonstrated ability to identify potential issues, and to proactively work to the mitigation of those issues.
  • Demonstrated experience communicating business implications of complex data relationships and results of statistical models to multiple business partners.
  • Demonstrated experience formulating, approaching, and solving problems in massive, complex datasets.
  • Demonstrated experience in public speaking and use of appropriate presentation skills.
  • Demonstrated experience interfacing with business clients and driving solution discussions with both IT and business stakeholders.
  • Demonstrated experience performing advanced statistical analysis, including generalized linear models, decision trees, neural networks, etc., to discover business insights and develop predictive models.
  • Demonstrated experience with statistical and modeling software tools, such as SAS or R.
  • Demonstrated management or leadership experience.
  • Solid knowledge and understanding of mathematical modeling and research.


  • MS degree in Mathematics, Statistics, Economics, Engineering Actuarial Science or related field or equivalent designation, such as Fellowship of the Casualty Actuarial Society.


Offer to selected candidate will be made contingent on the results of applicable background checks.

Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions.

Relocation assistance is available.

Candidates selected for an interview with the hiring manager will be asked to complete a leadership skills assessment.