Engineering Manager, Claims Technology

Duties And Responsibilities

• Ensure delivery of well-architected, maintainable and secure automation workflows that comply with enterprise standards.
• Collaborate with infrastructure, security and architecture teams to ensure enterprise governance, scalability and performance alignment.
• Oversee the delivery of scalable, intelligent Claims automation solutions that leverage advanced automation techniques and AI-enabled capabilities like Azure AI Services (Cognitive Services, Form Recognizer, Document Intelligence, etc.) to improve efficiency and outcomes and integration with enterprise systems.
• Work closely with Claims business and operations leaders to understand pain points, assess automation feasibility and prioritize high-value initiatives.
• Translate business needs into technical designs and actionable engineering work.
• Provide clear, proactive communication to stakeholders regarding progress, risks and benefits of automation programs.

Qualifications, Skills, And Experience

• 10+ years of hands-on experience driving end-to-end delivery of workflow automation solutions, including solution design, implementation oversight, and adoption of standard automation patterns.
• Strong experience with Azure AI Services including Azure OpenAI, Cognitive Services, Document Intelligence, LLM orchestration, prompt engineering and responsible AI practices.
• Proficiency with Azure cloud services such as Azure Functions, Logic Apps, API Management, Service Bus and identity/role management.
• Experience integrating automations with enterprise systems (APIs, SaaS platforms, legacy systems).
• 3+ years of experience leading engineering teams, including mentoring, performance management and technical coaching.
• Strong problem-solving skills with the ability to evaluate complex workflows and propose automated, AI-enhanced solutions.
• Experience with Agile delivery models, backlog management and iterative value delivery.
• Excellent communication skills, capable of translating business needs into technical outcomes.
• Curious, adaptable and eager to explore cutting-edge tools and engineering approaches.