CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact. 

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

Job Description

Key Responsibilities May Include:

• Develop and lead program-wide data management processes, ensuring alignment with global best practices, enterprise-level governance frameworks, and compliance with industry standards.
• Establish and maintain processes for data ownership and stewardship, documenting and validating the lifecycle of all program datasets, including customer, cost, company, and market data.
• Define and standardize key performance indicators (KPIs), metrics, and data transformations to maintain data consistency, accuracy, and reliability across systems and teams.
• Conduct risk assessments, identify data-related risks through gap analyses, and implement mitigation strategies to ensure data quality, security, and compliance.
• Collaborate with enterprise architects and integration project teams to design data architecture solutions, ensuring interoperability across platforms and alignment with business requirements.
• Oversee the master data lifecycle, managing updates, approvals, and documentation while ensuring changes are validated and compliant with governance policies.
• Create data visualizations and dashboards in collaboration with cross-functional teams to track progress on data quality improvements and risk reduction initiatives.
• Implement and maintain robust data security and privacy measures, establishing access controls to protect master data and ensuring adherence to regulatory requirements.

POSITION PURPOSE

Lead the design and implementation of best-in-class data management practices to enhance data integrity, governance, and strategic utility across the region.

Collaborate with global data governance team and regional stakeholders to establish robust data management processes, risk mitigation strategies, and compliance frameworks.

Enable data-driven decision-making by ensuring high-quality, secure, and reliable data across systems and teams.

Enable scalable, and well-governed data environments that support advanced analytics initiatives.

SCOPE

• All data sources for Advanced D&A Americas

• All data assets for Advanced D&A Americas

MAJOR / KEY ACCOUNTABILITIES

• Develop and lead program-wide data management processes, ensuring alignment with global best practices, enterprise-level governance frameworks, and compliance with industry standards.

• Establish and maintain processes for data ownership and stewardship, documenting and validating the lifecycle of all program datasets, including customer, cost, company, and market data.

• Define and standardize key performance indicators (KPIs), metrics, and data transformations to maintain data consistency, accuracy, and reliability across systems and teams.

• Conduct risk assessments, identify data-related risks through gap analyses, and implement mitigation strategies to ensure data quality, security, and compliance.

• Collaborate with enterprise architects and integration project teams to design data architecture solutions, ensuring interoperability across platforms and alignment with business requirements.

• Oversee the master data lifecycle, managing updates, approvals, and documentation while ens