VP, Enterprise Data

Multi-Color Corporation Recruiting•Atlanta, GA

About The Position

The Vice President, Enterprise Data Leader is accountable for the enterprise-wide strategy, delivery, and operational excellence of data, analytics, and forecasting capabilities across a global enterprise. This leader establishes and governs the end-to-end data ecosystem—including analytics and reporting, the enterprise data lake, data architecture, data standards, and master data management—while ensuring reliable production support and modernization through retirement of legacy data platforms. The role partners with business executives and IT leaders to deliver high-impact, scalable solutions that improve decision-making, forecasting accuracy, operational performance, and financial outcomes.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Analytics, or related field; Master’s preferred.
12+ years of progressive leadership experience in enterprise data and analytics.
Proven success delivering global data platforms, analytics, governance, and forecasting solutions.
Strong executive communication, vendor management, and team leadership skills.

Responsibilities

Define and execute the multi-year enterprise data strategy aligned to business priorities and enterprise IT goals.
Establish a scalable global data operating model balancing speed, quality, compliance, and cost efficiency.
Own the global analytics and reporting portfolio, ensuring trusted, consistent metrics across the enterprise.
Drive adoption of standardized reporting, self-service analytics, and decision-support tools.
Measure Analytics success through tangible business outcomes.
Lead design, implementation, and operations of the enterprise data lake and integration pipelines.
Ensure strong production support, monitoring, incident management, and operational documentation.
Define internal service level agreements with internal customers. Leverage enterprise service management capabilities to measure and report on adherence to the SLAs. Create service improvement plans for KPIs that are not consistently met.
Define enterprise data architecture, integration patterns, and modeling standards.
Partner with other IT functional leaders to rollout data standards. Audit data standard compliance and create and execute projects to update source systems not meeting the data standard requirements.
Lead data governance, quality management, metadata, and stewardship frameworks.
Own enterprise MDM strategy and execution for core domains such as Customer, Item and Vendor/Supplier.
Partner with business functions to develop sustainable data stewardship processes.
Measure MDM success through tangible business outcomes.
Enable financial, demand, and supply forecasting through integrated data platforms and analytics.
Partner with Finance and Supply Chain leaders to improve forecast accuracy and business impact.
Roll out enterprise demand and supply chain forecast applications globally
Define internal service level agreements with internal customers. Leverage enterprise service management capabilities to measure and report on adherence to the SLAs. Create service improvement plans for KPIs that are not consistently met.
Own enterprise data retention and archiving policies and enabling solutions.
Ensure compliance with global retention requirements while reducing risk and storage cost.
Partner with Internal Audit team to ensure policies and solutions meet internal and statutory compliance requirements
Lead modernization and retirement of legacy data platforms.
Reduce technical debt and total cost of ownership while ensuring business continuity.
Build and lead a high-performing global data and analytics team.
Develop cost-efficient staffing models to maximize delivery capacity and velocity.
Manage strategic vendors and external service partners.
Serve as a trusted partner to senior business leaders and internal customers.
Collaborate cross-functionally with other IT leaders to deliver integrated enterprise solutions.