Designs and leads scalable data infrastructure supporting product analytics, enterprise digital twins, and data-driven decision-making. Partners with product, engineering, and go-to-market stakeholders to identify requirements, integrate enterprise and telemetry data, ensure data quality, and conduct analytical investigations. Provides technical leadership across the data ecosystem, facilitates insight-driven discussions, and builds resilient analytic repositories in a fast-growing SaaS environment.

Build data and financial models, forecasting logic, scenario analyses, KPIs, predictive models, automated dashboards, and self-service data products for Finance and GTM operations. Partner with business stakeholders to translate questions into analyses and recommendations, maintain data quality and governance, and use SQL, Python, statistical methods, and AI tools to automate insights and improve decision-making.

Lead and empower a team of Enterprise Architects, ensuring alignment with business goals, engaging with C-level executives, and driving enterprise modernization using emerging technologies.