Head of AI

Palomar•San Diego, CA

8d•$235,000 - $355,000

About The Position

Palomar is seeking a Head of AI Enablement to drive enterprise-wide adoption, integration, and operationalization of Artificial Intelligence (AI). This leader ensures AI capabilities translate into measurable business value by aligning technology, data, governance, talent, and change management. This role bridges executive strategy, technical execution, and organizational transformation to scale AI responsibly and effectively across the enterprise. This is a hands-on role requiring a self-starter who is comfortable taking end-to-end ownership of initiatives and delivery.

Requirements

10+ years of experience in technology, data, or digital transformation.
5+ years leading AI/ML initiatives at enterprise scale.
Proven experience in strategy development and execution.
Deep understanding of AI/ML, data platforms, and cloud ecosystems.
Experience with governance, risk, and regulatory environments.
Strong executive communication and stakeholder management skills.
Experience with Generative AI and LLM implementations.
Background in consulting or large-scale transformation programs.
Demonstrable track record of working autonomously and driving progress
Be intellectually curious, think creatively, and pragmatic

Nice To Haves

Previous experience in P&C Insurance industry preferred

Responsibilities

AI Strategy & Roadmap
Define and lead the enterprise AI enablement strategy aligned with business objectives.
With other business leaders, identify high-impact AI use cases and prioritize based on ROI and feasibility.
Develop a multi-year AI capability roadmap (people, tools, governance, platforms), especially helping with key Build Vs Buy decisions.
Partner with C-suite leaders to embed AI into business transformation initiatives.
AI Governance & Responsible AI
Enforcer of AI governance frameworks, policies, and standards.
Ensure compliance with regulatory, legal, privacy, and ethical guidelines.
Platform & Infrastructure Enablement
Oversee selection and deployment of AI/ML platforms and tools, whether internal or external.
Standardize development, deployment, and monitoring frameworks.
Enable reusable AI components, APIs, and accelerators.
Partner with IT and data teams to ensure scalable infrastructure.
Cross-Functional Collaboration
Act as the bridge between Business, Data, Tech Engineering, Risk, and Compliance teams.
Support business units in identifying and scaling AI solutions.
Create AI enablement playbooks, toolkits, and frameworks.
AI Literacy & Change Management
Remain current with AI technology advances and vendors
Develop enterprise AI education and upskilling programs.
Promote AI literacy at executive and operational levels.
Build an internal AI community of practice.
Team Leadership
Build and lead a multidisciplinary AI enablement team.
Recruit and develop AI product managers, ML engineers, and governance specialists.
Foster a culture of experimentation and innovation.