SVP, Enterprise Analytics

Cengage Group

SVP of Enterprise Analytics leading development and execution of analytics strategy at Cengage. Overseeing data product delivery and fostering innovation and collaboration in a data-driven culture.

Posted 6/19/2026full-timeOhio • Ohio • 🇺🇸 United StatesLead💰 $227,100 - $295,250 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Participate in the company’s discretionary incentive bonus program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data roadmap developmentdata product deliveryanalytics service deliverydata governance frameworkML Opsmodel managementdata pipeline managementanalytical modelingdata engineeringcustomer insights

Soft Skills

leadershipcollaborationcommunicationinnovationteam empowermentstrategic growthproblem framinginterpersonal skillsinfluential leadershipcontinuous improvement

Certifications

Analytics certificationsBachelor's degree in engineeringBachelor's degree in businessBachelor's degree in financeMaster's degree in engineeringMaster's degree in businessMaster's degree in finance