Product Innovation Analyst

Responsibilities
• Partner with business stakeholders, customers, product owners, and development teams to identify, prioritize, and define AI-driven opportunities, translating business needs into requirements, use cases, user stories, and acceptance criteria.
• Analyze customer feedback, product usage metrics, KPIs, and business outcomes to measure the effectiveness, adoption, and value of AI capabilities, and recommend enhancements that improve customer productivity and operational efficiency.
• Develop business cases, process flows, presentations, training materials, and product documentation to support AI initiatives, customer adoption, and strategic decision-making.
• Drive execution of AI product initiatives from concept through release by coordinating business, engineering, QA, and operations teams while monitoring timelines, risks, dependencies, and deliverables.
• Evaluate and validate AI-generated outputs through testing, prompt refinement, business review, and feedback analysis to improve quality, accuracy, relevance, and user experience.
• Participate in customer meetings, demonstrations, pilot programs, and feedback sessions to understand business challenges and identify opportunities for product enhancement.

Qualifications
Required

Bachelor’s degree in business, Insurance, Technology, Artificial Intelligence, or a related field.
2-5 years of experience in product analysis, business analysis, technology consulting, or a related role translating business/client requirements into technical specifications.
Comfortable using AI-powered tools and assistants to accelerate research, problem-solving, and business analysis while ensuring responsible, ethical, transparent, and compliant use of AI technologies.
Strong analytical and problem-solving skills, with the ability to gather, analyze, and document business requirements, process flows, functional specifications, and acceptance criteria, translating business needs into actionable product requirements.
Experience working within Agile software development environments, including managing product backlogs, user stories, sprint planning activities, and collaboration with cross-functional development teams.
Ability to work effectively in a cross-functional environment with business, technology, and customer-facing teams.
Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

Preferred

Experience supporting the launch of AI products, conversational assistants, intelligent automation solutions, agentic workflows, or generative AI capabilities from concept through production.
Knowledge of AI concepts such as prompt engineering, retrieval-augmented generation (RAG), model evaluation, agentic workflows, and conversational AI.
Insurance industry experience, particularly in forms management, underwriting, regulatory compliance, product development, or insurance technology, is a plus.
Experience supporting SaaS, cloud-based, or enterprise software products.
Demonstrated ability to identify business opportunities and translate them into innovative product solutions.