Senior Director , Data and Intelligence

Job Details: Job Description: Position Overview We are seeking a visionary Senior Director to lead our Enterprise Data & AI Enablement organization, reporting directly to the VP of AI and Data. This executive-level position will drive the strategic roadmap for data and AI capabilities across the enterprise, with deep focus on building robust data foundations that enable advanced AI applications. The successful candidate will lead cross-functional teams, collaborate extensively with AI leadership, and partner with senior executives to influence enterprise-wide data and AI strategy. Key Responsibilities Strategic Leadership & Vision Define and execute comprehensive data and AI enablement roadmaps in partnership with VP of AI and Data Drive enterprise data strategy that supports both traditional analytics and advanced AI/ML initiatives Collaborate with C-suite and senior leadership to align data capabilities with business objectives Influence organizational strategy through data-driven insights and AI readiness assessments Data Foundation & Architecture Excellence Data Strategy & Architecture : Define foundational data platforms, technologies, and reference architecture that scale across enterprise applications Core Data Solutions : Ensure accuracy, consistency, and lifecycle management of critical enterprise data including Customer, Supplier, Item/BOM, Finance, and Reference data Data Ingestion & Engineering : Oversee robust data movement capabilities (ETL/ELT), real-time streaming, and pipeline reliability at enterprise scale AI-Ready Data Capabilities AI & Advanced Analytics Enablement : Provide cutting-edge tooling, environments, and expertise for predictive modeling and advanced AI applications Knowledge Products Development : Lead creation of semantic layers, unifying ontologies, and hierarchical Master Control Programs (MCPs) Structured & Unstructured Data Integration : Enable AI accessibility across diverse data types and formats Data Foundation & BI Enablement : Design optimized data models and warehousing/lake house environments supporting both traditional BI and AI workloads Quality, Governance & Enablement Data Quality & Readiness : Drive comprehensive data governance, quality frameworks, and conversion strategies ensuring trusted, compliant data assets Data Literacy : Champion organization-wide data literacy initiatives to accelerate transformation and unlock business value Qualifications: Required Qualifications Technical Expertise 12 years of progressive data leadership experience with 5 years in executive roles Proven experience with large-scale data platforms and enterprise application integration Deep expertise in enterprise applications including Salesforce, Workday, ERP systems Hands-on experience with ECC to S/4HANA upgrades and enterprise transformation projects Strong background in data architecture, warehousing, and modern lakehouse technologies Experience building AI-ready data foundations including semantic layers and knowledge graphs Leadership & Strategy Demonstrated ability to drive enterprise-wide data strategy and influence senior leadership Proven track record of building and scaling high-performing data teams Experience partnering with AI/ML teams to enable advanced analytics capabilities Strong background in data governance, quality management, and regulatory compliance Business Acumen Experience working with large enterprise applications and complex integration scenarios Proven ability to translate business requirements into scalable data solutions Track record of driving automation, reliability, and operational excellence Experience managing multi-million dollar budgets and complex vendor relationships Preferred Qualifications Advanced degree in Computer Science, Data Science, Engineering, or related field Experience with modern data stack technologies and cloud platforms Background in AI/ML model deployment and MLOps practices Experience in regulate ... (truncated, view full listing at source)