Risk & Insurance Enablement Manager

Justworks•New York, NY

2d•Hybrid

About The Position

This role is central to the Risk & Insurance team's transformation, helping the team move from manual, fragmented workflows to scalable, technology-enabled operations. By combining hands-on building, team enablement, and operational execution, this role will unlock how the organization works. This is not a traditional operations or analyst role. You are a builder. Someone who turns manual workflows into automated systems, data into usable infrastructure, and ideas into real, working solutions. As the Risk & Insurance Enablement Manager, you will act as a force multiplier across the Risk & Insurance function. You will design and build AI-powered workflows, enable teams to adopt new tools and ways of working, and help evolve how the function operates at scale. This role sits at the intersection of people, process, data, and technology, and plays a critical role in helping Risk & Insurance scale output and complexity without linear headcount growth.

Requirements

4+ years of experience in operations, analytics, automation, or a related field
Proven experience building and implementing workflows or automation solutions (not just recommending them)
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

Responsibilities

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, etc.)
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
Design and lead a department-wide learning/experimentation strategy that levels up core skills in: Low-code/no-code tooling, 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
Create and run queries and pull 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