Senior Director, Data & Intelligence

Intel•Us, CA

4d•Hybrid

About The Position

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 Technical Expertise 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 What We Offer Opportunity to shape enterprise data and AI strategy at scale Direct partnership with AI leadership team and C-suite executives Leadership of diverse, high-impact teams driving organizational transformation Competitive executive compensation package including equity participation Access to cutting-edge technologies and industry-leading data platforms This role represents a unique opportunity to drive the future of data and AI enablement in a large enterprise environment, building the foundation that will power next-generation AI applications while ensuring robust, scalable, and governed data operations.

Requirements

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
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
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
Degree in Computer Science, Data Science, Engineering, or related field
12+ years of progressive data leadership experience with 5+ years in executive roles

Nice To Haves

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 regulated industries with complex compliance requirements

Responsibilities

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
Define foundational data platforms, technologies, and reference architecture that scale across enterprise applications
Ensure accuracy, consistency, and lifecycle management of critical enterprise data including Customer, Supplier, Item/BOM, Finance, and Reference data
Oversee robust data movement capabilities (ETL/ELT), real-time streaming, and pipeline reliability at enterprise scale
Provide cutting-edge tooling, environments, and expertise for predictive modeling and advanced AI applications
Lead creation of semantic layers, unifying ontologies, and hierarchical Master Control Programs (MCPs)
Enable AI accessibility across diverse data types and formats
Design optimized data models and warehousing/lake house environments supporting both traditional BI and AI workloads
Drive comprehensive data governance, quality frameworks, and conversion strategies ensuring trusted, compliant data assets
Champion organization-wide data literacy initiatives to accelerate transformation and unlock business value