Product Delivery Manager

5 years of experience in product delivery, analytics, or data management. - Demonstrated expertise in validating raw, trusted, and refined data models for analytical, visualization, and generative BI use cases. - Strong understanding of data visualization technologies and generative AI/BI tools. - Experience with dashboard development, reporting, analytics enablement, and business intelligence automation. - Proven ability to manage delivery processes and implement continuous improvement in analytics validation and generative BI. - Ability to translate business needs into technical requirements for analytics, visualization, and generative BI. - Excellent collaboration, communication, and stakeholder management skills. - Experience working in cross-functional teams and matrixed organizations. Role Overview: As a Product Delivery Manager in Consumer and Community Banking, your primary responsibility will be to lead the validation and delivery of raw, trusted, and refined data models optimized for advanced analytics, visualization, and generative business intelligence. You will play a crucial role in championing the use of modern visualization technologies and generative AI solutions to derive actionable insights from both internal and external product feature data. Your role will involve managing the end-to-end delivery process to ensure data models are accurate, reliable, and ready for analytical, visualization, and generative business intelligence applications. Key Responsibilities:

Lead the validation and delivery of raw, trusted, and refined data models for analytics, visualization, and generative business intelligence purposes. - Oversee the development and deployment of interactive dashboards, visualization solutions, and generative BI tools leveraging product feature data from various sources. - Collaborate with analytics, data science, and technology teams to ensure data models support advanced analytical use cases, generative AI, and business intelligence automation. - Manage intake, dependency management, and release processes for analytics-ready and generative BI-enabled data models. - Ensure data models are tested for accuracy, completeness, and reliability while aligning with business objectives and compliance standards. - Drive continuous improvement in analytics validation, visualization capabilities, and generative BI outcomes. - Monitor delivery timelines, manage blockers, and ensure adequate resources for analytics, visualization, and generative BI initiatives. - Provide leadership and guidance to cross-functional teams, fostering a culture of innovation and data-driven decision-making. - Liaise with stakeholders to gather requirements and feedback