AI Digital Product Manager- MSI

MSI is a leading MGA specializing in insurance solutions. They are seeking an experienced AI/ML Product Manager to define, deliver, and optimize AI-powered digital solutions, acting as a link between business objectives and technology execution.

Responsibilities:

• Conduct in-depth analysis of customer business drivers, key use cases, and objectives to develop tailored solutions
• Develop and maintain a clear AI/ML products roadmap aligned with business goals and KPIs for adoption, outcomes, and financial impact to ensure resources are invested where they matter most
• Lead and mentor Digital Product Managers to deliver enterprise-wide AI solutions that drive innovation and competitive advantage
• Design and maintain workflows aligned with strategic objectives
• Accelerate delivery by using AI to build AI – adopting AI-powered processes to drive efficiency and speed
• Lead the design and delivery of AI-enhanced features, such as:
• Smart UI components
• Predictive analytics
• Natural language interfaces
• Automated compliance checks
• Intelligent reporting and modeling tools
• Champion AI tools to accelerate development - even for non-AI features
• Establish organizational best practices for AI usage, including prompt engineering, model selection, and ethical guidelines
• Contribute to policies for responsible AI development, deployment, and monitoring in compliance with regulatory standards
• Scale enterprise-wide AI initiatives, promoting reusability of AI capabilities to accelerate time-to-value and reduce duplication

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or related field
• Minimum 5+ years in product management with 2+ years focused on Ai or data-driven products in a start-up or high-growth environment
• Strong understanding of AI/ML concepts: NLP, predictive modeling, recommendation systems, model evaluation, and MLOps fundamentals
• Experience with AI platforms and tools (Microsoft Copilot, Open AI, MLflow, etc.)
• Proven ability to prioritize based on ROI, including building business cases and evaluating trade‑offs
• Experience with Agile methodologies and ability to write clear business and technical specifications (Feature designs, User Stories, Acceptance Criteria)
• Knowledge of data governance, model validation, and compliance frameworks (privacy, auditability, explainability)
• Excellent communication and leadership skills; ability to influence cross-functional teams and senior stakeholders
• Ability to clearly communicate complex system concepts clearly to technical and non-technical audiences
• Advanced analytical and problem-solving skills with the ability to independently troubleshoot issues
• Proven ability to manage competing priorities in a fast-paced environment
• Comfortability navigating ambiguity and influencing without direct authority
• Collaborative team player, committed to fostering innovation