Vincent Wang Email and Phone Number

Driving enterprise-level Generative AI innovation across diverse industries.

Strategized, executed, and launched the first B2B subscription-based enterprise Generative AI product for case management, delivering a low-latency, highly scalable, and highly available solution that achieved a 33% efficiency improvement, reduced training efforts by 80%, and resulted in 100% regulation compliance. It also secured its first energy and utilities enterprise customer within 3 months.Led the ML research, data, and engineering, and business stakeholders in developing advanced Generative AI Agents, which integrate industry-specific knowledge, achieved over 80% accuracy, and leveraged the Azure OpenAI API (GPT-4o) and AWS Bedrock. They incorporate ML algorithms for knowledge assistance, data analytics with visualization, natural language processing for customer interactions, and process automation for repetitive tasks.Collaborated with Enterprise Solution Architects to design a flexible Generative AI architecture within AWS (S3-Aurora-Bedrock) and SAP BTP, built on SAP S/4HANA for a global manufacturing client. This solution was endorsed by AWS & SAP and attracted interest from other major clients, including one of the world’s largest smartphone manufacturers.Drove product features among executive leadership through a data-driven roadmap, evaluated trade-offs, defined KPIs, agile methodology, and stringent product quality standards. Worked with 10+ cross-functional teams across different countries to conduct A/B testing, and coordinate UAT. The GenAI product was launched within 4 months, resulting in a 50% quarterly increase in customer opportunities and leads for Sales.Identified and mitigated potential risks resulting in a 30% budget reduction and ensuring on-time product launches.Led the transition from a consulting-focused business model to a subscription-based product model.

Prioritized features via the RICE model, building the product roadmap, and defining OKR/KPI, business/technical successful metrics of enterprise products by identifying customer pain points with functional financial and controlling experts.Led architecture to build low code cloud solution as PM based on Robotic Process Automation to reduce 70% the manual development effort.Led as a product manager to incubate and design an automated Google Cloud Platform Analytics Solution to store data in Google Cloud Bucket, consume and ETL through Google Cloud Data Flow, analyze and design a data model in Big Query, visualize data by leveraging Tableau and Data Studio from multiple SAP cloud systems, MS Office SharePoint and non-cloud-based data sources within energy enterprise products. Led to the reduction in manual workflow by 70% including data visualization executive dashboard creation for "C" level decision.Managed 6 concurrent consulting projects successfully, earning the Employee of the Year award for exceptional performance and multitasking abilities.