• Serve as the principal architect for designing data systems to support AIR’s health research projects, ensuring scalability, efficiency, and reproducibility. • Lead cross-functional teams in the development of innovative data solutions, using tools such as Databricks, R, Python, Stata, SAS, and Git. • Provide strategic oversight of data management and analytics pipelines, including governance, automation, and quality assurance. • Design and implement advanced statistical programming methodologies for complex longitudinal, hierarchical, and multi-source datasets. • Act as a senior advisor to project directors, statisticians, and clients on data strategy, analytic design, and technical feasibility. • Spearhead the development of enterprise-wide programming standards, reusable assets, and documentation practices. • Mentor and coach senior programmers and analysts, fostering a culture of technical excellence and continuous learning. • Lead technical contributions to proposals, including conceptualizing analytic frameworks, developing budgets, and writing compelling technical narratives. • Represent AIR in high-level client engagements, conferences, and professional forums. • Monitor emerging technologies and trends in data science and health analytics, recommending strategic investments and innovations.