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.

• 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.

• 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.

• 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.

• 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, KPI, risk, and progress to executive stakeholders, including Board updates when required.

• Manage strategic initiatives including data platform modernization, integration strategies, MDM deployments, ERP/CRM transformations, cloud migration, and analytics enablement.
• Oversee vendor relationships related to data integration, cloud infrastructure, MDM platforms, AI, data warehousing, and BI tools.
• Develop business cases, ROI models, and investment plans to drive data capabilities and capacity.

• Bachelor's degree in Computer Science, Information Management, Data Science, Engineering, or related field required;
  Master’s preferred.
• 10+ years in data strategy, data architecture, information management, or enterprise analytics leadership roles.
• Proven experience leading data modernization or enterprise data governance at scale (multi‑site, multi‑business‑unit environment).
• Experience driving change in complex environments including ERP transformations, mergers, data consolidation, cloud migration, or large‑scale integration programs.
• Expertise in enterprise data architecture, warehouse/lake design, integration and ETL/ELT frameworks, cloud environments, and structured/unstructured data solutions.
• Strong understanding of Azure, AWS, or GCP…