Master's Degree in Water Resources Engineering, Civil or Environmental Engineering, Data Science, Business, Public Administration, or a related field is preferred; doctoral study or an advanced degree is a plus.20+ years of relevant professional experience, including significant leadership responsibility for complex water-sector programs, modeling initiatives, digital transformation, innovation delivery, or client advisory services. The ideal candidate will combine deep water-sector domain expertise with executive-level leadership in digital twins, hydraulic and hydrologic modeling, AI-enabled applications, data governance, dynamic master planning, and capital improvement planning .