SVP, Enterprise Analytics

Responsibilities

• Develop and implement an integrated data roadmap that aligns with Cengage Group's strategic goals, supporting use cases across Finance and Business Intelligence, Revenue Operations (sales, marketing, pricing, customer success), Business Operations (customer service and technical support, content development and production, HR, etc.), and Product Analytics.
• Own data product delivery and maintenance through end-to-end management of complex projects, overseeing initiation, planning, design, and implementation phases, while also serving as an expert in guiding business requirements and technical design discussions.
• Establish and oversee a robust analytics service delivery model, ensuring that analytics solutions meet the needs of various operational functions.
• Create centralized, best-in-class Analytics team by consolidating existing analytics talent across the organization, upskilling key roles, and recruiting new talent in support of functional and business priorities.
• Champion a forward-thinking approach to enterprise analytics by anticipating industry trends, identifying new technologies, and proactively addressing future data needs.
• Inspire and empower the team to embrace innovation, driving continuous improvement and long-term strategic growth for the organization.
• Implement a comprehensive data governance framework to drive consistency and simplicity in data, KPIs, and reports used to run the various business units and functional areas.
• Collaborate with IT teams to improve data connectivity and governance in source systems.
• Cultivate a collaborative partnership with the IT organization, promoting a shared responsibility for data stewardship and finding opportunities to collaborate in handling data projects.
• Establish a collaborative framework with the management team to define and implement KPIs, deliver against the value creation plan and enable effective data-driven business management.

• 20+ years of general experience and 12+ years of experience in leading teams with data scientists, data engineers, software engineers, cloud architects, and business analysts to deliver data and analytics work products.
• Recognized as an influential leader in Analytics excellence, with proven impact and experience building a centralized Analytics capability within large enterprise, including integrating and coalescing fragmented data capabilities across an organization.
• Experience with modern data and analytics reference architecture, including ML Ops, model management, data pipeline management, and visualization.
• Must have hands‑on experience with solutions development – Framing business problems, analytical modeling, data stewardship, data engineering.
• Knowledge of analytics platforms and tools including R, Python and others.
• Proven ability to generate sustainable results and increase revenue applying sophisticated customer insights and analytics.
• Excellent interpersonal and written communication skills; ability to present complex, technical ideas clearly and concisely to non-technical audiences.
• Experience with major cloud platforms such as Snowflake, Azure, AWS, and GCP.
• Strong financial savvy to attach financial impact to use cases, and run the P&L of their organization to streamline costs and maximize return on investment.
• Preferred Bachelor or Master’s degree or equivalent experience in engineering, business, or finance. Analytics certifications is a plus.