SVP, Data Science

Responsibilities

• Collaborate with business partners to design end-to-end processes that solve business challenges
• Lead a team of Data Engineers and Data Scientists to execute analytical projects and communicate results to senior leaders, with a focus on PRS
• Coach and mentor junior and senior Data Scientists on technical skills and career development
• Serve as a thought leader and strategy lead for the Data Science discipline within PRS
• Shape hiring, retention, and placement strategies for Personal Lines data scientists
• Advise on upskilling, tools, and platforms for the PRS data science workforce
• Enable expanded modeling capabilities and variable exploration within the PRS ecosystem
• Enhance customer, distribution, and digital intelligence
• Deepen insights aligned with strategic plan objectives
• Expand customer lifetime value analytics
• Utilize AI and third-party data to optimize the Valuables business
• Improve insured-to-value insights and modeling
• Support PRS opportunity geography insights and strategy

Qualifications

• 10+ years of experience in Data and Analytics leadership, or as a Data Science leader
• Bachelor’s degree or equivalent work experience; Master’s degree preferred
• Expertise in advanced and emerging analytical tools, such as web scraping, machine learning models, and knowledge graphs
• Experience providing data-driven consultation to business unit leaders, either internally or as an external consultant
• Background in developing analytics products, including querying tools, dashboards, applications, and business insights
• Demonstrated ability in Data Science solution delivery
• Strong ability to set execution plans, monitor progress, and drive actions for successful outcomes across asset development and deployment phases
• Excellent communication skills and insurance knowledge; pricing experience required
• Proven track record managing competing priorities with multiple deliverables and deadlines
• Experience working with interdisciplinary teams, particularly in leadership roles, to achieve project completion and establish productive relationships with stakeholders
• Prior management experience required
• Prior working experience with R and Python is essential; familiarity with SAS, SQL, Radar, and QlikView is a plus
• Strong verbal and written communication skills; ability to present complex issues in a manner easily understood by non-technical audiences
• Creative problem solver with the ability to quickly identify and resolve errors through collaborative solutions

Pay

The pay range for the role is $249,000 to $333,000. The specific offer will depend on an applicant’s skills and other factors.

About the Role

This position will be primarily responsible for personal lines product such as Homeowners and Auto. Although pricing will be a heavy focus, this position will also work with other forms of models, e.g. underwriting models, customer segmentation, lifetime value, customer journey, and operational analytics.