Build strong relationships and partner with heritage institutions, museums, libraries, and research organizations to define product vision, business objectives, strategy, and roadmap for AI and data initiatives
Lead stakeholder engagement to develop value propositions for AI-powered heritage solutions and secure buy-in for product initiatives
Conducting product discovery and user service journey workshops
Conduct competitive landscape analysis and market positioning for heritage technology solutions
Define go-to-market strategies and product launch plans
Create and maintain product documentation and knowledge bases
Conduct user testing sessions with historians, curators, and heritage enthusiasts to translate insights into AI and data product improvements
Manage product backlog, conduct user interviews, run design sprints, development sprints, and prioritize features to deliver maximum value for users
Define, implement, and track key product metrics including user acquisition, engagement, conversion rates, and retention across AI and data platform features
Own product performance through comprehensive analytics, monitoring user behavior patterns, feature adoption rates, and platform usage trends to drive data-driven product decisions
Write clear product requirements and user stories for AI models, data pipelines, and analytics platforms
Own product performance and track user engagement by making data-driven decisions through advanced analytics and AI metrics
Maintain and manage updates, model retraining, and bug fixes to ensure AI system reliability and data platform stability
Develop and manage product budgets and resource allocation
Justify ROI and business value of product initiatives
Present product updates to senior leadership and board members
Create regular product performance reports and dashboards
Communicate product roadmap changes to stakeholders
Manage external vendor relationships and partnerships