Director, Enterprise Data

About the Role: 

The Director, Enterprise Data is responsible for building and leading the company’s enterprise-wide data strategy to ensure data integrity, availability, and accessibility for advanced analytics and business decision-making. This role establishes the vision, roadmap, and governance required to transform data into a strategic business asset. 

 

The Director leads cross-functional teams to define master data standards, data management processes, architecture frameworks, and data platform optimization. They will serve as a trusted advisor to senior leaders, enabling data-driven decisions through scalable solutions, high-quality data, and advanced capabilities in data engineering, reporting, analytics, and business intelligence. 

 

Your Responsibilities: 

 

Strategic Leadership 

• Develop and execute the Enterprise Data strategy aligned to business priorities, digital modernization, and transformation initiatives. 

• Lead the evolution of enterprise data architecture, platforms, and data pipelines to support business intelligence, predictive analytics, and AI/ML. 

• Create and maintain the enterprise data roadmap including data platforms, governance frameworks, data quality, and integration architecture. 

• Secure alignment with executive leadership, ensuring data initiatives directly enable growth, operational excellence, customer experience, and efficiency. 

 

Data Governance & Quality 

• Establish enterprise data standards, policies, data stewardship roles, and controls to ensure data is accurate, secure, and compliant. 

• Lead enterprise-wide Master Data Management (MDM), metadata strategy, data privacy frameworks and data lifecycle management. 

• Partner with Legal, IT Security, and Internal Audit on data protection, risk management, regulatory compliance, and controls. 

• Implement data quality monitoring, remediation processes, and continuous improvement mechanisms. 

 

Technology, Architecture & Analytics Enablement 

• Oversee design and optimization of data platforms (warehouse, lake, lakehouse, and integration layers). 

• Partner closely with IT, Cloud, ERP, and Digital Product and Software Engineering teams to modernize legacy systems and integrate complex data sources. 

• Drive architectural decisions relating to integrations, APIs, interoperability, and future scalability. 

• Enable self-service analytics through standardized datasets, governed models, and curated data products. 

 

Leadership & Collaboration 

• Lead a high-performing team of data engineers, data architects, data governance experts, MDM specialists, and Power BI analysts. 

• Build and mature the enterprise data operating model, including service levels and intake, prioritization, security protocols, and delivery models. 

• Influence enterprise stakeholders across Finance, Operations, HR, Supply Chain, Commercial, Product, IT, and external partners to ensure alignment and adoption. 

• Communicate strategy, KPIs, risk, and progress to executive stakeholders, including Board updates when required.