SVP, Enterprise Analytics

** We believe in the power and joy of learning*
* At Cengage, our employees have a direct impact in helping learners around the world discover the power and joy of learning. We are bonded by our shared purpose - driving innovation that helps millions of learners improve their lives and achieve their dreams through education.

The  
** SVP, Enterprise Analytics
** at Cengage will lead the development and execution of the enterprise analytics strategy and roadmap, aligning with the company's value creation plan. This role involves defining, managing, and directing efforts toward high-priority analytics initiatives across the business. To achieve this, this role will collaborate closely with business leaders to integrate existing analytics capability into a centralized, best-in-class global analytics team, delivering value against the highest impact opportunities.

This senior leader will scale advanced analytics technologies, staying at the forefront of industry innovation, to drive speed at scale across multiple functions in multiple Cengage end markets (e.g., US Higher Education, US K-12, Public and Academic Libraries, etc.). This leader will also partner closely with IT and other colleagues, furthering a culture of data-driven decision making.

** What you will do here:*
* + 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.

** Skills you will need here:*
* + 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…