PURE Insurance is seeking to establish and lead an enterprise AI/GenAI strategy and execution to transform the P&C insurance industry
Requirements
- Experience with generative and agentic AI, including deploying real-world use cases into production
- Hands-on expertise with predictive modeling, deep learning, NLP, computer vision, or time-series analysis
- Familiarity with P&C insurance or financial services is highly desirable
- Experience with Databricks, dbt, GitHub, Hex, and Arize
- Proficiency in Python and other languages
- Experience making build vs. buy decisions, balancing short-term needs with long-term strategic priorities
- Adaptability with technology: not tied to specific tools but skilled at discerning when a platform is an asset versus a liability
Responsibilities
- Lead, grow, and foster a culture of innovation, accountability, safe experimentation, and continuous learning across three core teams: Data Science, MLOps Engineering, and a new AI Engineering team
- Partner with executive leadership to prioritize and roadmap high-impact AI/GenAI initiatives, balancing pragmatic near-term opportunities with longer-term “moonshot” innovations
- Engage senior leaders to frame business problems, champion transformative possibilities, and ensure AI initiatives align with enterprise priorities
- Shape PURE’s long-term philosophy on building vs. buying AI solutions, balancing cost, scalability, speed, and strategic value
- Ensure data science and automation approaches are fully leveraged where they are the right solution, recognizing that not every problem requires AI
- Collaborate with IT, Technology, Data Engineering, and Analytics Engineering teams to ensure that PURE’s data and source systems can support AI solutions in a scalable and pragmatic way
- Lead PURE’s commitment to ethical and responsible AI, ensuring transparency, fairness, and trust in every solution we deliver
Other
- Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field; advanced degree preferred
- 10+ years of experience in data science, machine learning, and AI, with increasing responsibility over time and at least 3 years in a senior leadership role
- Strong appreciation for organizational change management and the human side of adoption, ensuring that technology enhances workflows rather than causing disruption
- Demonstrated ability to measure and communicate business value, tying data science and ML/AI outcomes to enterprise objectives
- A collaborative and customer-first leader whose success comes from building solutions that deliver lasting value for PURE’s members, brokers, and employees
