Sr Director, Enterprise Data and Architecture

Enterprise Data Strategy & Governance 

• Develop and own the enterprise data strategy and roadmap, aligning data capabilities with corporate objectives, analytics needs, and digital transformation priorities. 

• Define the vision, operating model, and maturity path for data as a product, including policies for data ownership, stewardship, quality, security, and lifecycle management. 

• Establish and chair cross-functional data governance forums that bring together business, IT, security, and compliance stakeholders to prioritize data initiatives and enforce standards. 

• Set enterprise-wide standards for metadata, master data, and reference data to ensure consistency and interoperability across systems and domains. 

Data Lakehouse & Platform Ownership 

• Own the design, build, and evolution of the corporate data lakehouse, including ingestion pipelines, storage layers, semantic models, and downstream analytics enablement. 

• Lead data engineering and platform teams in delivering reliable, performant, and cost-efficient data platforms that support BI, advanced analytics, AI/ML, and self-service reporting. 

• Define architecture patterns for batch and streaming pipelines, ELT/ETL frameworks, and data orchestration, ensuring resilience, observability, and scalability. 

• Evaluate and select data platform, integration, and analytics technologies; manage vendor relationships and drive adoption of best-in-class tools and practices. 

Integrations & Enterprise Systems Architecture 

• Own the enterprise integration strategy across ERP, CRM, HRIS, Manufacturing, Finance, and other core platforms, including APIs and middleware. 

• Define end-to-end architecture standards and reference architectures that ensure secure, scalable, and loosely coupled integrations between enterprise applications and the data lakehouse. 

• Lead architecture reviews for major initiatives, ensuring solution designs adhere to enterprise patterns, leverage reusable components, and maintain long-term sustainability and supportability. 

• Partner with application owners (ERP, CRM, HRIS, Manufacturing, Finance) to align roadmaps, minimize duplication, and ensure data and integration requirements are built into platform strategies. 

Analytics, Insights & Enablement 

• Collaborate with Finance, Operations, Commercial, and functional analytics teams to prioritize data products and reporting capabilities that drive measurable business outcomes. 

• Define enterprise reporting and analytics architectures, including canonical models, subject-area data marts, and governed semantic layers for BI tools. 

• Enable self-service analytics by providing high-quality curated datasets, documentation, and training for business and data users. 

• Partner with AI/ML and advanced analytics teams to ensure data platforms and architectures support experimentation, model deployment, and responsible AI practices. 

Leadership, Operations & Risk Management 

• Build, mentor, and lead high-performing teams across data architecture, data engineering, and enterprise architecture disciplines. 

• Define KPIs and OKRs for data platform reliability, data quality, integration performance, delivery velocity, and business value realization; provide regular reporting to executive leadership. 

• Oversee budgets, vendor contracts, and resourcing for data and integration platforms, ensuring cost-effective scaling and clear ROI. 

• Partner with Security and Compliance to ensure data and integration architectures meet regulatory, contractual, and organizational risk requirements.