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AI/ML Technical Lead is responsible for defining, operationalizing, and governing enterprise AI strategy. This leader will modernize and rationalize existing predictive modeling capabilities while introducing pragmatic, high-impact Generative AI and LLM-enabled solutions primarily through vendor partnerships. This role requires a builder’s mindset with executive judgment. The successful candidate will independently design the AI technology roadmap, select and integrate vendors, ensure security and compliance alignment, and translate business strategy into executable AI initiatives without relying on a large internal team.
Job Responsibility:
Co-create and own the enterprise AI strategy in partnership with the CDAIO and Head of Data & Analytics
Define a multi-year AI roadmap spanning: Traditional predictive / statistical models, Machine learning and decision intelligence, LLM-enabled and agent-based capabilities
Balance innovation with risk, regulatory posture, and operational readiness
Define AI reference architectures including: Model lifecycle management, Data pipelines and feature stores, LLM orchestration, RAG patterns, and model hosting strategies
Ensure alignment with enterprise data platforms, cloud strategy, and security architecture
Establish guardrails for scalability, cost control, and vendor lock-in mitigation
Lead selection, contracting input, and ongoing oversight of AI vendors and system integrators
Serve as technical authority in vendor solution design and delivery quality
Drive outcome-based vendor accountability tied to measurable business value
Partner closely with the CISO, Legal, Compliance, and Risk functions to: Define AI risk controls and model governance standards, Ensure safe, explainable, and auditable AI usage, Establish policies for LLM usage, data privacy, and model monitoring
Support internal and regulatory transparency for AI-driven decisions
Oversee execution of AI initiatives while remaining hands-on where needed
Enable business leaders and analytics teams to responsibly adopt AI capabilities
Communicate progress, risks, and value realization to executive stakeholders
Requirements:
10+ years in data, analytics, or AI technology roles with progressive leadership responsibility
Demonstrated experience designing and deploying AI solutions in regulated environments
Strong understanding of: Predictive modeling and ML techniques, LLMs, GenAI architectures, and vendor platforms, Cloud-based AI ecosystems
Proven success managing vendors and external partners
Ability to operate autonomously with limited staff support
Nice to have:
Insurance, financial services, or healthcare risk domains
Experience standing up AI governance frameworks
Prior accountability for enterprise-level AI strategy or platforms