The Small Commercial (SC) Product Design and Modeling team is hiring a Senior Director I, Data Science to lead the development and delivery of predictive analytics tools and insights, to enable data driven strategic decision making. This executive-level role will oversee SC General Liability and SC Property data science resources. You will provide strategic and tactical direction at the highest levels within own function and department. This level reflects deep knowledge of data science techniques, and advanced application of applying those techniques to business issues.

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.**

Responsibilities:

• Responsible for the management, technical oversight and development a team of data scientists, which may include subordinate managers.
• Coaches team to understanding of organizational vision and goals.
• Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making.
• Provides strategic and tactical direction at the highest levels.
• Has accountability for the performance and results of one or more large, strategically important business unit in an extremely large market.
• Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends.
• Owns relationship with a defined segment of the business, delivering advanced tools and insights, including ongoing monitoring of metrics and initiatives.
• Responsible for highly technical, individualized and difficult to develop tools and their usage which are transformative in nature and have broad strategic impact to the aligned business units(s).
• Leads highly technical, complex, and cross functional projects that drive change across function, SBU or Corporate Department.
• Directs and may perform highly complex, technical and creative predictive analytics projects and cross functional assignments within designated business unit collaborating with multiple functions.
• Shapes the data science community and/or larger audiences and leads cross functional working groups.

• Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
• Expert knowledge of predictive toolset, to include highly technical tools.
• Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
• Exchanges ideas and conveys complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts up to and including SBU/Corp Dept leadership.
• Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the aligned functional area and client group.
• Ability to give effective training and presentations to all levels of the organization.
• Interacts with senior executives.
• Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly.
• Deep knowledge of business drivers and market context.
• Deep understanding of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal and Sales departments.
• Utilizes significant business experience and judgment to direct work of unit and communicate results.
• Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 8 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 10 years of relevant experience.
• Insurance or financial services industry experience preferred.