Risk & Insurance Enablement Manager

Responsibilities

Build

• Design and build AI-powered tools, automations, and workflows that improve speed, accuracy, and scalability across Risk & Insurance
• Identify manual, repetitive processes or friction points and replace them with automated, low-code, or AI-driven solutions
• Prototype and implement solutions using tools such as SQL, Python, APIs, and low-code/no-code platforms (e.g., Airtable, Zapier, Gumloop)
• Partner with Product, Engineering, Data, and Revenue Operations when solutions require deeper system integration
• Map and maintain an inventory of manual, repetitive processes across Risk & Insurance, prioritizing opportunities for automation based on impact, frequency, and complexity
• Act as a thought partner to leadership on how AI and automation should reshape workflows across health underwriting, workers’ compensation underwriting, operations & claims, business insurance

Enable

• Design and lead a department-wide learning/experimentation strategy that levels up core skills in low-code/no-code tooling and applied AI in underwriting & operations (prompt design, automation use-cases)
• Upskill team members through hands-on training, real use cases, and embedded support
• Run initiatives that normalize experimentation, iteration, and feedback loops (hackathons, cohorts, hives, experimentation sessions)
• Create a community of builders across the team; lead this collective group in automating processes and launching self-made solutions

Operate

• Execute operational reporting workflows, including creating and running queries and pulling structured datasets
• Format and deliver reports to insurance carriers
• Improve data accessibility and process efficiency to support the broader Risk & Insurance
• Identify opportunities to automate this work, reducing manual operational effort over time

Qualifications

• 4+ years of experience in operations, analytics, automation, or a related field
• Proven experience building and implementing workflows or automation solutions
• Experience applying AI tools (e.g., prompt design, workflow automation, LLM-powered use cases) in real-world workflows
• Strong working knowledge of SQL; experience querying and manipulating data required
• Experience with low-code/no-code tools (e.g., Airtable, Zapier) and/or scripting (Python, JavaScript)
• Familiarity with APIs and integrating systems or moving data between tools
• Clear, concise communicator with the ability to partner across technical and non-technical teams
• Excellent leadership skills and ability to inspire and support others

Compensation

Base wage range: $109,000 - $136,000 per year (New York City office).