Director Enterprise Architect Data & AI

Enterprise Data Architecture Leadership: Define and evolve enterprise data architecture strategy, frameworks, standards, operating models, and ownership of data catalog, lineage, and metadata aligned with business and IT goals. Domain Data Architecture: Act as domain architect across key business areas, designing business-aligned data models, semantic layers, KPIs, and reusable data products while driving data maturity and MDM adoption. Data Platform & Integration: Architect scalable, resilient data platforms and ingestion pipelines (batch/streaming) using Kafka, Informatica, Databricks, APIs, and cloud-native services to meet SLAs for availability, quality, and performance. Governance, Security & DevOps: Establish data governance, security, and compliance standards; implement CI/CD, Infrastructure as Code, and DataOps practices to ensure quality, consistency, and secure delivery of data products. Cost Optimization & FinOps: Drive cloud FinOps best practices by designing cost-efficient data pipelines and platforms, monitoring usage, and optimizing resource consumption through serverless and reserved capacity models. Innovation & Stakeholder Enablement: Enable advanced analytics and AI/ML use cases, lead innovation pilots and PoCs, provide architectural oversight, and mentor teams while partnering closely with business and technology stakeholders. Collaborate with global teams to design scalable, high-performance data platforms and architectures. Establish best practices for data governance, quality, and integration across the enterprise.