In 2022, I worked with Immersa as a Product Designer. My role was to iterate and present new ways to improve Immersa's data management products. I worked with the team to streamline connecting and observing data from many sources. The team I worked with grew rapidly, but originally consisted of a product manager, a few engineers, and myself.
Led the end-to-end design strategy and execution for Immersa’s enterprise data software suite, transforming complex, multi-source data points into intuitive, actionable visualizations. Served as the primary interface between technical engineering and diverse business stakeholder groups.
How does the user ensure that their data is connected and telling the truth?
Data Architecture & UX: Defined the product experience for key business units (Sales, Marketing, and Customer Success). These efforts ensured that the platform provided data insights that directly drove revenue-generating processes.
Product Scaling & Vision: Championed the expansion of the platform’s integration library, advocating for and successfully delivering critical use cases that significantly broadened the product's market appeal & total addressable market (TAM).
Solution Architecture: Conceptualized and designed a modular system architecture for data management, unlocking new screen viewport contexts and providing engineering and design teams with flexibility for rapid iteration.
Data Visualization: Led design for the "Entities" feature, centralizing disparate data points into a single, cohesive dashboard, greatly enhancing the ability of data scientists and business users to make informed decisions.
Stakeholder Alignment: Designed modular data visualization tools for advanced users (data scientists), simplifying highly complex data sets and enabling non-technical business users to extract deep insights rapidly and independently. I also successfully presented new features and system requirements to the executive board, securing buy-in and ensuring product development efforts aligned with core business objectives.
Impact Highlight: Transformed complex, cumbersome data workflows into a centralized, modular system, improving the speed and reliability of data-driven decision-making across the organization.
