AVP, Data Science

Company Details

 

 

Berkley Regional Shared Services (BRSS) is the service provider for the Regional Segment of W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations across the United States, BRSS provides insurance service support to our six Regional Segment companies, allowing them to focus on their unique competitive advantages and differentiators within their local marketplaces. BRSS’s wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.  

 

Driven by a commitment to collaboration, BRSS partners with our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the “What’s Next” in our industry and beyond.  Our mission is to drive transformation and provide exceptional capabilities and service to the operating units. BRSS generates meaningful and measurable value by delivering insights for our customers, partners, and shareholders using data and analytics. 

 

Our vision is to enable operating unit profit and growth objectives by designing and delivering scalable solutions.

 

With a culture centered on innovation and service stewardship, BRSS stands as a community of leaders with eyes toward the future -- leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine.  BRSS offers endless ways to get involved and have the chance to grow your career into a wide range of roles. Come join us as we push forward into the future of industry leading technology and service solutions

Responsibilities

 

The AVP, Data Science is a senior leader responsible for advancing analytics, AI, and machine learning capabilities across the Regional Segment. This role drives data-driven decision making, delivers measurable business impact, and partners with business and technology leaders to develop scalable solutions that improve underwriting, claims, operational efficiency, profitability, and customer outcomes.

Key Responsibilities

• Define and execute the Regional Segment's data science strategy and roadmap aligned to business objectives.
• Partner with Underwriting, Claims, Actuarial, Product, and Operations leaders to identify opportunities and deliver measurable ROI.
• Lead the development, deployment, and governance of predictive analytics, machine learning, and AI solutions.
• Oversee the full model lifecycle, including development, validation, monitoring, and continuous improvement.
• Champion responsible AI practices, model governance, regulatory compliance, and analytics best practices.
• Collaborate with data engineering, enterprise analytics, and technology teams to scale data products and AI capabilities.
• Promote cross-functional adoption of analytics and foster a culture of data-driven decision making.
• Represent the Regional Segment in enterprise analytics and AI initiatives.

Leadership Responsibilities

• Lead, mentor, and develop a high-performing team of Data Scientists and Data Engineers.
• Drive talent acquisition, performance management, succession planning, and career development.
• Foster a culture of innovation, collaboration, technical excellence, and continuous learning.

Education Requirement

Advanced degree (Master's or PhD) in a quantitative discipline — Data Science, Statistics, Mathematics, Computer Science, Economics, Actuarial Science, Operations Research, or equivalent — OR 7–10 years of demonstrated experience developing and deploying predictive, prescriptive, and machine learning models in a production environment.

 

Qualifications

• Proven leadership of data science teams delivering measurable business results.
• Expertise in machine learning, AI/GenAI, predictive modeling, and model lifecycle management.
• Strong understanding of P&C insurance operations, including underwriting, claims, pricing, and actuarial functions.
• Experience with AI governance, regulatory compliance, and responsible AI practices.
• Proficiency in Python, R, SQL, Spark, and cloud-based analytics platforms (e.g., Databricks).
• Strong data visualization and business intelligence skills (Power BI preferred).
• Ability to analyze complex data and communicate insights effectively to both technical and executive audiences.
• Demonstrated success building, developing, and mentoring high-performing teams.
• Excellent leadership, collaboration, communication, and problem-solving skills.
• Proficiency in Microsoft Office Suite and willingness to travel occasionally.

Additional Company Details

We do not accept any unsolicited resumes from external recruiting firms. The company offers a competitive compensation plan and robust benefits package for full-time regular employees which for this role includes: Base Salary Range: $132,000-$189,000 The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Eligible to participate in the annual discretionary bonus program. Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans.

Additional Requirements

We do not accept unsolicited resumes from third party recruiting agencies or firms.

Sponsorship Details

Sponsorship not Offered for this Role

Responsibilities

The AVP, Data Science is a senior leader responsible for advancing analytics, AI, and machine learning capabilities across the Regional Segment. This role drives data-driven decision making, delivers measurable business impact, and partners with business and technology leaders to develop scalable solutions that improve underwriting, claims, operational efficiency, profitability, and customer outcomes.
Key Responsibilities
- Define and execute the Regional Segment's data science strategy and roadmap aligned to business objectives.
- Partner with Underwriting, Claims, Actuarial, Product, and Operations leaders to identify opportunities and deliver measurable ROI.
- Lead the development, deployment, and governance of predictive analytics, machine learning, and AI solutions.
- Oversee the full model lifecycle, including development, validation, monitoring, and continuous improvement.
- Champion responsible AI practices, model governance, regulatory compliance, and analytics best practices.
- Collaborate with data engineering, enterprise analytics, and technology teams to scale data products and AI capabilities.
- Promote cross-functional adoption of analytics and foster a culture of data-driven decision making.
- Represent the Regional Segment in enterprise analytics and AI initiatives.
Leadership Responsibilities
- Lead, mentor, and develop a high-performing team of Data Scientists and Data Engineers.
- Drive talent acquisition, performance management, succession planning, and career development.
- Foster a culture of innovation, collaboration, technical excellence, and continuous learning.
Education Requirement
Advanced degree (Master's or PhD) in a quantitative discipline — Data Science, Statistics, Mathematics, Computer Science, Economics, Actuarial Science, Operations Research, or equivalent — OR 7–10 years of demonstrated experience developing and deploying predictive, prescriptive, and machine learning models in a production environment.