I am a data enthusiast owning the Enterprise Data strategic vision. I enjoy leading teams leveraging data for driving world-class data-enabled insights, decisions and automation. My teams develop data strategies, products, services, and driving outcomes aligned tightly to success metrics for creating value out of trusted data products. My mission is to lead by example, prove success with product metrics, and innovate in all areas of data for analytics, data science, AI, engineering, applications, platforms, and infrastructure.Leadership – Vision, Technology and Collaboration- Enabling data-driven insights through strategic data products for organizations such as Audacy, Disney Streaming, Hulu, Comcast/NBCU, and ATT/DIRECTV to cultivate their business through decision science and product launch methodologies including blending business frameworks, analytics, technology, and data science for model-driven decision making- Thrives in matrixed environments requiring successful cross-team collaboration, big-picture approach, distinguishes tactics from strategy, breaking down barriers, anticipating issues- Drives data product strategy for portfolio insights providing the data organization with product portfolio, workforce management, delivery management and costing data services- Providing data and partner organizations with data product launch services for assembly of tactics, amplification of products for adoption, accounting for value, and announcing for awareness- Partnering with data and stakeholder teams on product strategy for building product vision alignment, OKRs, success metrics, solicited and unsolicited feedback loops, data product roadmaps, intake prioritization, and data-driven delivery accountability- Development of multiple enterprise-level viewing and digital data Products including the first Emmy award winning national addressable advertising system, audience measurement system, sessionized STB, digital viewing, viewing intensity, content, marketing, and subscriber data marts, digital task completion, data activation, Snowflake share environments, and data science utilized customer journey assets- AI, machine learning data subject matter expertise designing data products used by vertical such as Content, Marketing, Advertising and Finance teams saving millions of dollars in programming and generating millions in ad revenue