Technology Head Of AI

TL;DR

Technology Head of AI: Owns the technology strategy and roadmap for AI, automation, and emerging technologies within a reinsurance broker, with an accent on translating innovation into scalable capabilities across broking, placement, analytics, and client servicing. Focus on responsible AI governance, model lifecycle management, and driving rapid experimentation to enhance agility and global scalability.

Location: New York, US

Salary: $184,000 - $230,000 - $276,000

Company

hirify.global combines specialist broking with analytics, modeling, and research to help insurers optimize risk transfer, strengthen balance sheets, and achieve sustainable growth.

What you will do

• Define and own the technology strategy for AI, aligned to business priorities, and translate value propositions into a roadmap.
• Lead delivery of AI solutions across pricing support, submission triage, document and market data extraction, client insight, workflow automation, and co-pilot experiences for employees.
• Establish responsible AI governance and controls in partnership with Cyber, Data Protection, and Legal.
• Build the target operating model for AI engineering and MLOps, including model lifecycle management, monitoring, incident response, versioning, and cost/performance optimization.
• Develop and manage strategic vendor and partner relationships, balancing build vs. buy decisions and negotiating commercial and risk terms that protect value.
• Maintain horizon scanning and technology assessment, identifying pragmatic opportunities to introduce new capabilities that enhance agility and global scalability.

Requirements

• Significant experience leading digital transformation, with proven delivery of AI, automation, and emerging technology in complex, cloud-first environments.
• Proven capability to architect end-to-end solutions and deliver them, from reference architectures and integration patterns through to production rollout and adoption.
• Proven delivery of AI/ML and GenAI solutions in production, including document intelligence, NLP, search/summary, recommendation, decision support, and workflow automation.
• Strong grasp of responsible AI, security, and compliance, including model risk management, privacy, data residency, human oversight, and auditability.
• Hands-on understanding of AI/MLOps practices and platforms, including model lifecycle, observability, cost control, CI/CD, feature stores, and data integration.
• Excellent communication and stakeholder management skills, with credible engagement at all levels and across multi-region teams.

Culture & Benefits

• Competitive total rewards package includes health and welfare benefits.
• Paid time off, 401K savings, and other retirement programs.
• Employee assistance programs.
• Committed to embracing a diverse, inclusive, and flexible work environment.
• Provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability, orientation, or any other legally protected categories.