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Assistant VP - Advanced Analytics Strategy

Overview
Our AVP - Advanced Analytics and Data Science will play a critical role in assessing emerging data science /analytics technologies, growing a data driven decision making culture and leading the ongoing evolution of our enterprise analytical capabilities. Lead strategies that utilize advanced analytics & growing capabilities (i.e., machine learning, AI, RPA) into the insurance operation that will deliver insights, improve efficiencies, and drive strategic and tactical decisions resulting in improved business outcomes. Develop strong partnerships with business leaders and the IT team to achieve success through data science. Provide oversight and leadership to our Advanced Analytics and Data Science team.
Responsibilities
Proactively partners with business leaders to understand business opportunities and challenges. Identifies opportunities to infuse analytics and emerging technologies into our insurance operations to improve operational efficiency, operational effectiveness, and decision making capabilities, ensuring business use cases are aligned with business strategies.
Identifies, assesses and champions appropriate new techonogies and strategies in the data analytics space.
In partnership with the predictive modeling team and IT, shapes the data, technology, process and people capabilities required to sustain analytics offerings and ensuring successful deployment and adoption of solutions within business areas. Stays current on industry developments and best practices.
Tracks, monitors, and analyzes key success metrics to ensure analytics are delivering desired business impact. Interprets results of analytical insights and communicates results to business leaders to drive value.
Leads and manages all activities of the Advanced Analytics unit to ensure quality work while maintaining high production and service standards. Coaches and mentors team members, providing growth opportunities, optimization of talent, and maximum resource utilization.
Qualifications
5+ years statistical modeling, data analytics and/or data science experience
3+ years leadership experience preferred.
5+ years Underwriting, Claims, Loss Control, or other insurance experience preferred.
Proficient in Excel, Access, SQL, Cognos, or other software to analyze and interpret data.
Python and any other big data computer language experience a plus.
Experience with BI tools like Tableau, MSBI etc. is plus.
Experience using statistical modeling software such as R, Statistica, SAS, SPSS, etc.
Working knowledge of statistical analysis techniques.
Experience with machine learning and AI strongly preferred.
Exposure to and working knowledge of RPA a plus
Excellent analytical and problem-solving capability.
Track record of developing and implementing analytical solutions that resulted in improved business outcomes.
Excellent networking and relationship building skills; proven ability to interface with senior management.
College degree required in Mathematics, Statistics, Economics, Business or related field.
Selective is an Equal Employment Opportunity employer. Selective maintains a drug-free workplace.
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