[Hiring] Senior Director, Applied Insights @McGraw Hill LLC.

Role Description

The Senior Director, Applied Insights leads the delivery of applied data science and machine learning solutions that generate actionable business insights generating measurable business impact across McGraw Hill’s business units. This role will use data to:

• Segment users and customers to enable improved engagement
• Implement data quality AI agents to improve data quality
• Use sales history to perform churn analysis to better retain customers
• Address other prioritized solutions

Reporting to the VP of Data & Analytics, this role partners closely with Analytics Delivery Leads and business leaders to identify, prioritize, and solve high-impact, BU-specific problems using advanced analytics, statistical modeling, and machine learning.

This role blends strategic consulting, hands-on data science leadership, and business-facing storytelling. The Sr. Director, Applied Insights must understand business strategy, sales, operations, & marketing while also guiding teams through model development, validation, and operationalization. Success requires deep collaboration across BU Leadership, Sales, Marketing, Data Science and AI, Data & Analytics, Global Technology Solution, and Customer Success to translate complex data into insights that drive adoption, efficacy, growth, and operational efficiency.

This is a remote position open to applicants authorized to work for any employer within the United States.

Qualifications

• Bachelor’s degree in a quantitative or related field (e.g., Data Science, Statistics, Mathematics, Computer Science) or equivalent experience
• Master’s degree or PhD preferred
• 10+ years of progressive experience in data science, advanced analytics, or machine learning roles, including leadership experience
• Proven experience delivering applied data science and machine learning solutions that improve business outcomes
• Strong background in statistical modeling, predictive analytics, and machine learning techniques
• Familiarity with modern data platforms, cloud-based analytics, and model operationalization
• Experience translating ambiguous business problems into analytical frameworks and production-ready models
• Ability to communicate complex analytical insights clearly to executive and non-technical audiences
• Experience partnering cross-functionally with product, sales, marketing, and operations teams
• Demonstrated people leadership experience building and managing high-performing technical teams
• Close familiarity with data and data management practices, including an understanding of the challenges faced by a SaaS organization when dealing with data
• Ability to understand the big picture and clearly articulate a holistic vision in a range of stakeholder contexts
• Ability to influence leaders across the enterprise and build consensus

Requirements

• Experience developing customer segmentation, demand forecasting, or usage-based predictive models
• Experience working with education data and understanding its unique challenges (e.g., efficacy, adoption, longitudinal analysis)
• Experience and perspective on leveraging agentic AI to supplement existing data to increase intelligence

Benefits

• The pay range for this position is between $175,000 - $235,000 annually
• Base pay offered may vary depending on job-related knowledge, skills, experience, and location
• An annual bonus plan may be provided as part of the compensation package
• A full range of medical and/or other benefits, depending on the position offered