PURE Insurance is seeking a VP, Head of AI to establish and lead their enterprise AI/GenAI strategy and execution, aiming to transform the P&C insurance industry by leveraging AI and GenAI capabilities.
Requirements
- 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, including hands-on expertise with predictive modeling, deep learning, NLP, computer vision, or time-series analysis.
- Experience with generative and agentic AI, including deploying real-world use cases into production.
- Skilled at leading and mentoring multidisciplinary teams, uniting data scientists, ML/AI engineers, and MLOps engineers to deliver at scale.
- Proven ability to deliver MVPs quickly, manage technical debt wisely, and scale solutions responsibly.
- Adaptability with technology: not tied to specific tools but skilled at discerning when a platform is an asset versus a liability.
- Demonstrated ability to measure and communicate business value, tying data science and ML/AI outcomes to enterprise objectives.
Responsibilities
- Oversee Data Science, AI engineering, and MLOps teams, ensuring seamless collaboration to deliver production-ready, high-impact solutions.
- 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.
- Anticipate and navigate evolving regulatory considerations for AI in insurance, ensuring PURE stays ahead of compliance requirements.
- Define and track key performance metrics to measure the business value and ROI delivered by data science and AI initiatives, and communicate results effectively to senior leadership.
Other
- 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 (3 initial hires).
- 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.
- Work with change management experts to drive enterprise-wide adoption, ensuring AI solutions are understood, trusted, and embedded into workflows that elevate performance.
- Foster a sustainable talent pipeline by defining career paths, supporting professional development, and ensuring succession planning across Data Science, AI Engineering, and MLOps/AIOps Engineering teams.
- Stay at the forefront of emerging AI trends, infuse fresh insights into PURE’s strategy, and represent the company as an industry thought leader.
- Strong appreciation for organizational change management and the human side of adoption, ensuring that technology enhances workflows rather than causing disruption.
- A collaborative and customer-first leader whose success comes from building solutions that deliver lasting value for PURE’s members, brokers, and employees.
