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Remote, mid-level, generalist Program Manager title with few niche requirements increases applicant competition.
Requires forecast science, policy translation, and development experience, so backgrounds transfer poorly.
Explicit 4-6 years plus required Python/R and forecasting knowledge enforces strict filters.
Own technical translation of weather forecast model capabilities, limitations, and uncertainties for internal teams and government partners.
Synthesize and communicate complex scientific data (forecast models, agronomic research, MEL data) into accessible reports and policy briefs.
Coordinate cross-functional communication ensuring technical realities of forecasting inform program and policy decisions.
4-6 years of relevant work experience.
Bachelor's or Master's degree in physics, mathematics/statistics, computational science, engineering, economics with quantitative focus, or equivalent with strong quantitative training.
Proficiency in Python or R mandatory; experience with data pipelines, cloud workflows, or geospatial tools preferred.
Strong foundational knowledge of ensemble modeling, probabilistic forecasting, forecast skill metrics, and model uncertainties.
Experienced in translating technical meteorological and forecasting concepts to non-specialist audiences including policymakers.
Comfortable working at the intersection of meteorology, program delivery, and policy with both technical teams and government stakeholders.
Demonstrated ability to manage multiple complex workstreams with attention to detail and strong organizational skills.