Head of Segment Data and Advanced Analytics

Company Details

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."

 

Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.

 

Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $14 billion.

 

Today the Berkley brand comprises more than 60 + businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.  Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

 

The company is an equal opportunity employer.

Responsibilities

The Head of Segment Data and Advanced Analytics reports to Heath Kidd, Segment Leader, and supports the Alternative Market Segment operating units (OUs) and their respective leadership teams. This officer level role is a champion for segment data, advanced analytics, and artificial intelligence (AI) supporting business strategy and objectives.  Key functions include but are not limited to:

 

Drive vision, strategy, communication, and execution in a federated operating model

• Strategy: Work with leadership and others to develop and maintain data and analytics strategy for the segment including the deployment of artificial intelligence capabilities within the segment.
• Alignment: Work with segment business and technical teams to develop a consistent data and analytics strategy across OUs, within each OU, ensuring alignment with the Berkley DNA team.
• Partner: Provide open and ongoing partnership across all levels of the segment and OUs to guide and support data and analytical efforts and the related systems including leading and overseeing the budget for the segment data and analytics organization.
• Staffing: Assist in guiding and partnering with the staff at the segment OUs to provide the best segment outcome. Assess strategic need over time, then as needed optimize staffing with a cost-effective data and analytics organization of potentially 3-5 personnel.  These personnel will have analytics and AI expertise that efficiently supplement the segment OU staffing models.
• Communication: Guide the communication strategy for data and analytics within the segment.
• Change Management: Provide formal and informal change management leadership, (i.e. communication, buy-in, understanding, status, decisions, process, etc.) to effectively operationalize data and analytics use within the segment OUs. This includes advanced analytics and AI adoption.
• Advanced Analytics: Oversee the identification, recommendation, development, deployment and implementation of machine learning, artificial intelligence, and related systems supporting segment strategic objectives enabling trusted data-driven decision making. Also, the use of AI to streamline operations and processes and improve efficiency.
• AI Governance: Ensure AI governance compliance for the segment and all operating units.
• Data Governance: Oversee development, deployment, and maintenance of segment data governance processes. Partner appropriately with segment OUs to ensure this is seamless.
• Development and Production Support: Responsible for the development and the ongoing maintenance of segment data repositories, data pipelines, business intelligence, ad-hoc analytics, and advanced analytics supporting a federated operating model.
• Metrics: Provide regular reporting and metrics on the status of the data strategy program to the EVP and segment leadership.

Ensure execution alignment, development, maintenance, and governance leadership:

• Project Alignment: Partner with Presidents and others to ensure continuity across multiple and individual projects supporting the segment data and analytics strategy.
• Leadership: Set and communicate project specific vision and strategy and provide project level direction, decisions, etc. as needed.
• Delivery: Ensure major milestones are documented, specifications are met, understood and managed.

Qualifications

• Bachelor’s degree in business or technology, or related field required.  JD, MBA and/or CPU p