AVP Advanced Analytics - Marketing Customer Experience & Distribution

May 31

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Horace Mann

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Auto Insurance • Home Insurance • Renters Insurance • Life Insurance and Retirement Annuities for Educators • Supplemental Insurance

1001 - 5000

Description

• The AVP Advanced Analytics, Marketing Customer Experience & Distribution provides visionary leadership and strategic direction for the organization's data science initiatives, machine learning, modeling, driving innovation, and leveraging data-driven insights to achieve business objectives and competitive advantage. This role will have a marketing focus but will touch on all areas of insurance. • Key Skills: - Strategic Communication: Demonstrates exceptional strategic communication skills with an ability to articulate complex concepts to executive-level stakeholders. - Executive-Level Data Presentation: Ability to present data-driven insights and recommendations to executive leadership in a clear and compelling manner. - Advanced Data Analysis and Machine Learning: Mastery of strategic data analysis, machine learning techniques, and statistical model frameworks to solve complex business problems and drive organizational strategy and innovation. - Technical Data Mastery: Expert-level proficiency in working with data using query languages such as SQL, R, or Python, with a deep understanding of relational data and data tools (Git, github, snowflake, open source ecosystem, etc). - Coding Expertise: Expertise in writing complex, efficient, and scalable production-ready code in Python or R. Knowledge of generative AI for coding is a plus. - BI Strategy: Ability to develop and execute a comprehensive BI strategy that aligns with organizational goals and objectives. - Visionary Leadership: Demonstrates visionary leadership in driving data-driven initiatives and fostering a culture of innovation and excellence. - Strategic Partnerships: Ability to build strategic partnerships both internally and externally to leverage data assets and drive business growth and transformation. - Manager skills: (if a manager) ability to coach/mentor/inspire other data scientists and non-technical people in the use of data science and analytics

Requirements

• Master’s degree or higher in data science related areas (statistics, applied economics, data science) • 8+ years of professional analytical experience (4 required) • 8+ years of P&C or Life/Retirement experience (4 required)

Benefits

• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service