Director, Business Automation P&C Insurance; remote
Morristown, Morris County, New Jersey, 07960, USA
Listed on 2025-12-20
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IT/Tech
Data Analyst
Crum & Forster Company Overview
Crum & Forster (C&F), with a proud history dating to 1822, provides specialty and standard commercial lines insurance products through our admitted and surplus lines insurance companies. C&F enjoys a financial strength rating of "A+" (Superior) by AM Best and is proud of our superior customer service platform. Our claims and risk engineering services are recognized as among the best in the industry.
Our most valuable asset is our people: more than 2500 employees in locations throughout the United States. The company is increasingly winning recognition as a great place to work, earning several workplace and wellness awards for four years running, including the Great Place to Work® Award for our employee‑first focus and our steadfast commitment to diversity, equity and inclusion.
C&F is part of Fairfax Financial Holdings, a global, billion dollar organization. For more information about Crum & Forster, please visit our website:
Job DescriptionCrum & Forster is seeking a Director of Business Automation to lead the strategy, delivery, and governance of automation and AI solutions that solve real business problems and drive operational efficiency across our Property & Casualty operations. This leader will oversee a small team of developers and analysts, partner closely with underwriting, claims, operations, IT, compliance, and procurement, and scale BOTs and AI capabilities (e.g., RPA, intelligent document processing, conversational AI, and advanced analytics) that enhance speed, quality, compliance, and customer experience.
What you will do:Leadership:
- Supervise, mentor, and manage a small group of developers.
- Maintain strong relationships with internal customers, external partners, and key stakeholders.
- Coach and mentor Managers, Specialists, and Analysts.
- Establish and communicate a clear automation strategy, roadmap, and operating model aligned to business goals.
- Foster a culture of innovation, collaboration, and continuous improvement.
- Own yearly budgeting for automation initiatives, platforms, and vendors.
- Monitor monthly expenses, track variances, and ensure disciplined financial management.
- Build and maintain business cases (ROI, payback, value realization) and report on benefits realization.
- Develop goals and initiatives that support the broader business strategy.
- Identify, prioritize, and deliver automation use cases across underwriting, policy servicing, claims, billing, finance, and compliance.
- Drive continuous improvement opportunities for processes, procedures, and strategic goals; lead process re‑engineering where needed.
- Manage cross‑functional projects with multiple departments; run agile ceremonies, manage backlogs, and ensure timely delivery.
- Be results‑oriented; define KPIs and measure success (e.g., cycle‑time reduction, straight‑through‑processing rates, error reduction, SLA adherence, cost‑to‑serve, customer satisfaction).
- Apply a strong understanding of Property & Casualty insurance operations and regulatory requirements to design compliant automation solutions.
- Maintain an innovative mindset to create new and effective solutions leveraging RPA, IDP/OCR, NLP, LLMs, and analytics.
- Use analytical skills to interpret data and generate insights that inform prioritization, design, and ongoing optimization.
- Manage vendor relationships; partner with procurement on selection, contracting, SLAs, and performance management.
- Oversee platform reliability, monitoring, and ongoing support; establish production runbooks and incident response.
- Own the end‑to‑end automation lifecycle: discovery, design, build, test, deploy, monitor, and optimize.
- Implement and scale core technologies (e.g., UiPath/Automation Anywhere/Blue Prism; intelligent document processing; model APIs; conversational AI; integrations).
- Coordinate integrations with policy administration systems, rating engines, data warehouses/lakes, and enterprise tools.
- Establish AI and model governance (documentation, validation, monitoring, retraining), and ensure compliance with data privacy, security, explainability, and bias testing standards.
- Create…
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