The P&C Product Manager III – Product Innovation drives product innovation and transforms CSAA’s underwriting, digital experiences, and product by maximising AI-powered solutions, emerging technologies, and advanced innovation practices.
This role is dedicated to modernizing processes through the adoption of artificial intelligence (AI) capabilities, leading discovery and experimentation to reimagine underwriting, digital experiences, and product.
By partnering with cross-functional teams – including Design, Delivery, State Management, Distribution, Data Science, Technology, Actuarial, Legal, and Compliance – the Product Manager III envisions, builds, tests, and scales next-generation AI driven solutions that optimize efficiency and enhance customer and agent experiences.
Operating with broad autonomy, the Product Manager III shapes strategic direction and informs roadmaps by translating research and experimentation into recommendations.
They guide initiatives from concept through pilot and enterprise scale, emphasizing measurable outcomes, scalable design, and alignment to strategic goals.
Requirements
8+ years of progressive product management experience, ideally including innovation initiatives or large-scale technology modernization.
Bachelor’s degree in business, marketing, technology, or a related field (or equivalent experience)
Deep expertise in Product functions and customer experience, with solid understanding of insurance operations, underwriting, digital experiences, and product.
Strong command of innovation methods, research techniques, and lean experimentation frameworks.
Ability to apply AI/ML and analytics to product discovery and delivery (e.g., prototyping, evaluation, iteration) and scale what works responsibly.
Skilled in designing and driving pilots for advanced technology solutions, including success metrics and change-management considerations.
Demonstrated ability to translate experiment outcomes into insights and adoption plans that improve customer and agent experiences.
Ability to embed experimentation and data-informed decision-making in cross-functional teams.
Proven ability to apply modern tools (including AI-enabled capabilities) to improve decision-making and day-to-day execution.
Advanced analytical and problem-solving skills, including data-driven evaluation and development of strategic recommendations.
Exceptional communication skills with the ability to synthesize complexity and influence diverse stakeholders.