SVP, Enterprise Analytics

Jobtailor; Kentucky; On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor is seeking a senior analytics leader to drive an integrated data roadmap and build a centralized analytics function across Finance, Sales, Marketing, and Operations. You will guide end-to-end data product delivery and align business requirements with technical design.

You will champion analytics governance, leverage ML-ops and modern cloud platforms, and mentor a growing team to unlock revenue through insights and operational excellence.

Qualifications

• Over two decades of general experience with leading analytics teams.
• Proven track record building centralized analytics capabilities in large enterprises.
• Experience with modern data and analytics reference architectures (ML Ops, model mgmt, data pipelines, visualization).
• Hands-on experience framing business problems, modeling, data stewardship, and engineering.
• Knowledge of analytics platforms and tools including R and Python.

Responsibilities

• Develop and implement an integrated data roadmap aligned with strategic goals across multiple functions.
• Own end-to-end data product delivery and guide business requirements and technical design.
• Establish and oversee a robust analytics service delivery model.
• Create a centralized Analytics team by consolidating talent and recruiting new members.
• Champion enterprise analytics by anticipating trends and new technologies.
• Inspire the team to embrace innovation and drive long-term growth.
• Implement a data governance framework for consistency in KPIs and reports.
• Collaborate with IT to improve data connectivity and governance in source systems.
• Partner with management to define KPIs and enable data-driven decision making.

Skills

Data science

Data engineering

Software engineering

Cloud architecture

Business analysis

Education

Bachelor's or Master's degree

Tools

R

Python

Snowflake

Azure

AWS

GCP

Job description

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.

Requirements

• 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.