AVP, Data Strategy and Enablement

Company Details

 

Berkley Alternative Markets Tech started in early 2019 as a small group of technologists with a passion for making insurance better. Today we are working with a team of industry experts who run five different insurance brands and collectively control $1 billion in annual premiums.

 

We believe in an idea and execution meritocracy. In other words, a place where the best ideas win and the people who deliver the most value get the most opportunities.

As we grow our team, we are looking for inquisitive, entrepreneurial people who are excited to reimagine the insurance industry.

 

Insurance is too complex. Help us make it better.

Responsibilities

The AVP of Data Strategy and Enablement drives the segment’s data and analytics strategy in close collaboration with senior leadership. This role ensures strategic alignment across all operating units and with enterprise-wide objectives. The AVP oversees the development, implementation and execution of comprehensive data governance frameworks, program management methodologies, and AI adoption strategies. By delivering scalable, high-impact solutions, this role plays a critical part in driving business transformation and operational excellence. Key responsibilities include ensuring transparency and accountability through regular performance reporting, managing budgets for data initiatives, and serving as a cross-functional liaison to foster integration, change management, and a data-driven culture across the organization. Success in this role is pivotal to optimizing operations, accelerating the adoption of advanced analytics, and maximizing business value.

 

Strategic Development & Alignment:

 

• Partner closely with the SVP of Segment Data, Analytics, and AI to define and evolve the segment’s overarching data and analytics strategy, including the integration and scaling of artificial intelligence capabilities.
• Collaborate with business and technical leaders across Operating Units (OUs) to ensure a unified and consistent data strategy that aligns with enterprise objectives and the corporate Data & Analytics (DNA) team.
• Support the SVP in evaluating long-term strategic needs and providing consultative guidance to OU teams to drive measurable business value.

 

Data Governance (Processes):

 

• Oversee the design, implementation, and continuous improvement of right-sized data governance processes across the segment, ensuring alignment with both segment-specific and enterprise-wide standards.

 

Program & Performance Management:

 

• Assist the SVP in managing the segment’s data and analytics budget, ensuring efficient allocation of resources and alignment with strategic priorities.
• Deliver regular reporting and performance metrics to the EVP and segment leadership, providing transparency into program progress and impact.
• Partner with segment and OU leadership to ensure alignment and continuity across multiple data and analytics initiatives.
• Support the SVP in articulating project-specific vision and strategy, offering direction and decision-making support as needed.
• Ensure that key milestones, deliverables, and specifications are clearly defined, communicated, and met across all initiatives.

 

Business Integration, Change Management & AI Adoption:

 

• Lead the execution of a comprehensive communication strategy to promote data and analytics initiatives across the segment.
• Provide both formal and informal change management leadership to drive adoption of data governance, advanced analytics, and AI solutions within OUs.
• Collaborate with corporate teams—including DNA, BTS (technology), and BAMTech (segment technology)—to advance the segment’s analytics strategy.
• Support the SVP in identifying and recommending AI and machine learning solutions that align with strategic goals and enhance operational efficiency.

 

Innovation & Continuous Improvement

• Evaluate and implement emerging technologies, methodologies, and tools to enhance segment data and analytics capabilities.
• Drive process improvements for efficiency, scalability, and reliability in data and analytics operations.
• Foster a culture of innovation, experimentation, and continuous learning.

 

Budgeting & Vendor Management

• Assist the SVP in managing the segment’s data and analytics budget to ensure cost-effective delivery of solutions.
• Oversee the selection, engagement, and performance of external vendors, contractors, and technology partners as needed.

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