IT Product Manager - Data Analytics

The IT Product Manager for Data Analytics is a key player in the team who is hands-on and brings together all aspects of a cloud data analytics platform implementation. The position requires strong customer empathy and focus, communication skills, technical skills, customer presence, industry knowledge, and exceptional delivery skills. This position will be responsible for the successful delivery of a transformational data analytics products.Key Essential Job Duties & Responsibilities:Establish prioritized roadmaps and implement strategies for executing with teams cross-functionally to build products that will advance the organization's productivity through data & analysis.Create actionable, insights driven data products for a variety for strategic business initiatives, stakeholder goals, and user needs.Drive innovation in how Wynn uses data to positively impact business strategiesDocument feature requirements and detailed user stories; drive technical grooming sessionsEngage with business leaders and operational managers to define use cases and consistently deliver business functionalities on a cloud data analytics platformEnsure on-time & high-quality deliverables from teamWork with project managers to manage all aspects of project lifecycle, including but not limited to quality assurance, risk management, schedule management andAssist in understanding end user business needs & work with the team to convert those into technical specificationsLead the engagement with the end users of the data analytics platform and other business stakeholders to ensure adoption and satisfactionCreate / provide thought-leadership to the organization internally and externallyDefine and author needed artifacts, documentation, or patterns for the cloud data analytics platform in partnership with architects and project managersIdentify and prioritize key issues and opportunities for innovation.Implement a user-centric design methodology, focusing on goal definition, design exploration, and idea refinement.Communicate how users will interact with data products through multi-step user flows, designs, and prototypes.Manage data sharing and logic with internal and externals partners