Director, Optimization Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of the demand-forecasting and capacity-optimization models within Assessment Delivery Operations from start to finish.

• Create, validate, and implement models for forecasting, optimization, simulation, predictive analysis, and policy impact.

• Establish demand-forecasting pipelines specifically for assessments.

• Develop models for real-options and capacity optimization aimed at reducing committed costs while maintaining scalability.

• Provide analytics reporting and dashboards to enhance operational metrics and facilitate quicker decision-making.

• Investigate and integrate modern analytical tools and techniques, including AI-assisted coding and data synthesis.

• Enhance the reliability and reusability of models.

• Collaborate with Product, Program, Operations, Technology, Finance, and customer experience teams.

• Analyze and mitigate cross-program challenges in customer flow.

• Oversee budget assumptions, cost drivers, and variance tracking.

• Convert analytical insights into actionable recommendations that influence operational choices.

• Shape the analytics roadmap and provide guidance on technical feasibility, sequencing, and trade-offs.

• Transform vague operational issues into structured analytical strategies.

• Report directly to the Senior Director of Data Analytics.

⛳️ Requirements

• 5–7+ years of hands-on data analysis experience, including leadership in analytics within a professional context.

• Undergraduate degree in business, engineering, economics, or another quantitative discipline (mandatory).

• Advanced capabilities in data analytics, particularly in forecasting, statistical analysis, and cost evaluation.

• Strong preference for candidates with experience in predictive modeling, statistical analysis, optimization, forecasting, cost assessment, or decision support.

• Demonstrated success in driving operational excellence and achieving measurable outcomes.

• Background in applying analytics to enhance operational, customer experience, or process improvement in sectors such as government, education, technology, or service industries.

• Willingness to travel 4–6 times annually to College Board offices or for College Board business.

• A keen interest in emerging technologies, readiness to embrace AI-driven solutions, and the ability to learn new digital tools independently.

• Strong written and verbal communication skills that are clear and concise.

• Authorization to work in the United States.

🏝️ Benefits

• Option for full remote work or hybrid arrangements for candidates residing near College Board offices.

• Travel opportunities required 4–6 times a year for College Board-related business.

• Comprehensive compensation and benefits package.

• Compensation adjusted according to location.

• Open and transparent discussions about compensation and benefits during the hiring process.