Senior Vice President, Data and Analytics

About the Role

Key Responsibilities

• Define and Execute an Enterprise Data Strategy - Establish a company-wide data and analytics vision that transforms Scholastic's data ecosystem into a strategic asset, driving innovation, customer engagement, and revenue growth.
• Drive Business Insights & Revenue Optimization - Leverage sales trends, customer behavior, and market data to uncover growth opportunities, optimize go to market strategies, and enhance business performance.
• Enhance Customer Intelligence & Personalization - Develop AI-driven segmentation and predictive models to create tailored experiences that significantly boost customer lifetime value.
• Elevate Digital Analytics & Marketing Performance - Build a dynamic analytics framework that integrates marketing automation, customer insights, and performance data to drive campaign effectiveness, optimize digital experiences, and maximize revenue opportunities.
• Establish and Implement Robust Data Governance - Implement scalable governance frameworks that ensure high-quality, compliant, and accessible data to enable smarter decision-making and business impact.
• Lead and Develop a High-Performing Team - Build, mentor, and empower a best-in-class data and analytics team, fostering a culture of innovation, collaboration, and continuous learning to drive business impact.

Requirements

• Proven Track Record in Data-Driven Revenue Growth - Extensive experience leveraging data, analytics, and AI to uncover business opportunities, optimize strategies, and drive significant revenue growth.
• Executive Leadership & Strategic Influence - Demonstrated success in advising senior leadership, cultivating a data-driven culture, and embedding advanced analytics, AI, and machine learning into enterprise-wide decision-making.
• Expertise in Enterprise Data Initiatives & Scaled Execution - Deep experience leading large-scale data initiatives that enhance operational efficiency, accelerate digital transformation, and drive sustained business impact.
• 15+ years of experience in data analytics, data science, or related fields, with at least 5 years leading high-performing teams and driving business performance at a large enterprise.
• Deep experience with Python or other programming languages, along with developer platforms, to enable scalable, data-driven decision-making.
• Proven ability to build and lead high-impact teams, foster a data-driven culture, and drive organizational change.
• Exceptional ability to translate complex data, analytics, and AI insights into clear, compelling narratives for senior leadership and cross-functional stakeholders.
• Experience managing multiple large-scale initiatives, balancing strategic priorities, and delivering results in a fast-paced, deadline-driven environment.
• Bachelor's degree in a relevant field; MBA or other advanced degree preferred.

Nice to Have

• Experience with marketing automation and customer insights tools.
• Knowledge of AI and machine learning applications in business contexts.

Benefits & Perks

• Full suite of health and wellness benefits (including a $0 deductible Medical Plan).
• Retirement Savings Plan 401(k) with options for both Roth and Traditional Contributions.
• Tuition-Free programs for undergraduate and graduate degrees.
• Generous Parental Leave Program.
• Employee Stock Purchase Plan (ESPP) with opportunity for discounted stock at a 15% discount.