8+ years of experience in a Data Visualization, Data/Analytics Engineering, Data Science, or Software Engineering role, with demonstrated progression into more senior or technical-lead scope • Hands-on experience building and deploying custom web applications (e.g., using frameworks such as React, Streamlit, Flask, Django, Next.js, or similar) as an alternative or complement to traditional BI tools • Practical experience integrating AI/LLM capabilities into applications or workflows (e.g., prompt-based interfaces, retrieval-augmented generation, AI agents, copilots, or automated insight/reporting generation) • Strong SQL skills and experience designing data models and pipelines to support responsive, highly interactive applications • Proficiency with data visualization tools for legacy reporting in support of custom-built web applications • Familiarity with data engineering tools and concepts, data pipeline development, and aggregation strategies at scale • Excellent communication, presentation, and stakeholder management skills, with the ability to influence senior partners and represent the team's technical direction • Proven ability to lead projects independently, mentor other engineers, and balance multiple high-visibility initiatives with tight deadlines • BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field