Director, Optimization Analyst (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Remote in the United States; employees near offices may choose fully remote or hybrid work with office attendance on Tuesdays and Wednesdays. Occasional business travel is required, approximately 4–6 times per year.
Salary: $88,000–$140,000 annually, adjusted based on location, experience, qualifications, and market data.
Company
is a self-sustaining nonprofit supporting digital assessment delivery, customer engagement, and educational opportunities for millions of students.
What you will do
- Own demand-forecasting and capacity-optimization models for digital assessments from methodology selection through deployment.
- Develop, validate, and deploy forecasting, optimization, simulation, predictive, and policy-impact models.
- Build analytics pipelines, reporting, and dashboards that improve operational visibility, cost efficiency, and decision speed.
- Partner with Product, Program, Operations, Technology, Finance, and customer-experience stakeholders to embed analytics into operational decisions.
- Translate analytic findings and ambiguous operational problems into clear recommendations and structured approaches.
- Shape the analytics roadmap by identifying modeling opportunities, technical tradeoffs, and emerging needs.
Requirements
- 5–7+ years of practical data analysis experience, including leading analytics work in a professional setting.
- Undergraduate degree in business, engineering, economics, or another quantitative field.
- Advanced skills in forecasting, statistical analysis, and cost assessment.
- Experience with predictive modeling, optimization, forecasting, cost assessment, or decision support.
- Experience applying analytics to operational, customer-experience, or process-improvement challenges in government, education, technology, or service-based industries.
- Authorization to work in the United States and ability to travel 4–6 times annually for business.
Nice to have
- Master’s degree in a quantitative or equivalent field.
- Experience with modern analytic tools, AI-assisted coding, or data synthesis.
Culture & Benefits
- Mission-driven work focused on expanding educational and career opportunities.
- Supportive, collaborative, and empathetic working environment.
- Encouragement to experiment with emerging technologies and AI-driven solutions.
- Transparent compensation discussions and a comprehensive benefits package.
- Flexible remote or hybrid work options for employees near offices.
Hiring process
- Resume and application review, followed by a recruiter phone or video screen.
- Hiring manager interview, performance exercise, panel interview, leadership conversation, and reference checks.
- Applications are reviewed immediately and remain open for at least five business days.
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