AI Technology Leader

Berkley • Urbandale, IA

76d

About The Position

Berkley Technology Services (BTS) is a dynamic company committed to providing world class IT services. We offer a unique culture, enabling our team members to be on the cutting edge of technology while delivering high quality solutions.
We are a $14B commercial and specialty insurance provider delivering innovative, data-driven risk solutions to clients across a wide range of industries. As part of our enterprise transformation, we are investing in next-generation AI technologies to reimagine how we operate, serve customers, and manage risk.
We are seeking a strategic, enterprise-focused AI Technology Leader to lead the architecture, platform strategy, technology standardization and enablement of Generative and Agentic AI capabilities across the organization. This is a leadership role focused on incubating ideas for automation, implementation of those ideas with handful of operating units and working with other applications development and data teams to scale. This role will solely focus on process automation and not predictive model development or data science.
This leader will lead a small, early-stage team of AI engineers and product managers, work in close partnership with the Corporate AI Leader and Chief Data & Analytics Officer, and collaborate across technology, data, and governance functions to deliver scalable, secure, and responsible AI capabilities. The function is in its infancy, offering a unique opportunity to shape foundational capabilities and influence enterprise-wide transformation.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field; MBA or equivalent business education is a plus.
• 12+ years of experience in enterprise technology leadership roles, with at least 3 years focused on AI/automation strategy, architecture, or platform enablement.
• Experience in commercial or specialty insurance, financial services, or other regulated industries is strongly preferred.
• Strong understanding of Generative AI (LLMs, RAG, prompt engineering) and Agentic AI (multi-agent systems, autonomous workflows) from a platform and architecture perspective.
• Familiarity with enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI), orchestration frameworks, and cloud-native design.
• Knowledge of core insurance systems and processes (e.g., Guidewire, Duck Creek, policy admin, claims, underwriting) is a plus although not required.
• Strong understanding of modern application development frameworks and agile
• Proficiency in MLOps practices and tools ( CI/CD for ML, containerization, orchestrated model deployment), developing reproducible deployment pipelines) - we’ll need someone to define and implement
• Proven experience leading cross-functional technology teams, including product managers and engineers.
• Strong ability to influence senior stakeholders and drive enterprise-wide alignment.
• Excellent communication and storytelling skills to articulate complex AI concepts to both technical and non-technical audiences.

Nice To Haves

• Experience with intelligent automation, digital workers, or AI-driven process orchestration in insurance operations.
• Familiarity with regulatory frameworks and ethical considerations for AI in financial services (e.g., NYDFS, NAIC, GDPR, AI Act).
• Participation in industry forums, standards bodies, or AI governance initiatives.

Responsibilities

• Enterprise AI Technology Strategy
• Platform Architecture & Enablement
• Team Leadership
• AI Ecosystem & Technology Selection
• Governance & Risk Collaboration
• Cross-Functional Alignment

Benefits

• A high-impact leadership role at the forefront of AI transformation in a $14B enterprise.
• Competitive compensation, performance incentives, and executive benefits.
• A collaborative, innovation-driven culture with strong executive sponsorship for AI.
• Opportunities to shape the future of insurance through cutting-edge technology.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Number of Employees: 5,001-10,000 employees