Technical Specialist-App Development
HybridWarren Township, New Jersey, United States
Job Summary
Own the end-to-end lifecycle of AI products and use cases, from ideation through implementation and scaling. Partner with business stakeholders across Underwriting and Claims to identify, prioritize, and define high-impact AI opportunities. Translate business needs into clear product requirements, user stories, and acceptance criteria while developing roadmaps aligned with enterprise strategic priorities. Lead backlog prioritization and sprint planning in collaboration with data science, engineering, and delivery teams. Create detailed process maps to identify optimization opportunities and ensure successful implementation, including change management and stakeholder communication. Monitor product performance, define KPIs, and drive continuous improvement based on insights. Collaborate closely with technical teams to ensure feasibility, scalability, and integration with existing systems. Support and enhance enterprise AI platforms by aligning use cases and capabilities with business needs.
Required Qualifications
- Bachelor's degree in Business, Technology, Data Science, or a related field (MBA preferred)
- 5+ years of experience in Product Ownership, Business Analysis, or related roles
- Strong domain knowledge of insurance operations, particularly Underwriting and Claims
- Proven experience in implementing AI/ML or advanced analytics use cases in a business environment
- Excellent business analysis skills, including requirements gathering, process mapping, and documentation
- Strong understanding of Agile methodologies (Scrum, Kanban) and product management practices
- Technical acumen with the ability to work closely with data scientists and engineers (familiarity with AI/ML concepts, data pipelines, APIs, etc.)
- Experience with tools such as JIRA, Confluence, and process mapping tools (e.g., Visio, Lucidchart)
- Strong analytical thinking and problem-solving skills
- Excellent communication and stakeholder management skills, with the ability to influence across all levels of the organization
Desired Qualifications
- Experience working with enterprise AI platforms or copilots (e.g., similar tools)
- Familiarity with data governance, model risk management, and regulatory considerations in insurance
- Experience driving digital transformation initiatives in the insurance industry
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