Enterprise Data Architect - Senior Vice President

Job description

This position leads the enterprise data architecture strategy and execution across CRM and customer data domains, data science (including LLM-enabled solutions), and modern data platforms. The SVP will partner with business and technology leaders to define the target-state architecture, establish governance and standards, and deliver scalable, secure, and high-quality data products. The role includes direct leadership of a team of 10–15 engineers/developers and accountability for building a culture of engineering excellence and continuous delivery. Key Responsibilities: - Enterprise Data Architecture Leadership: Own and evolve the enterprise data architecture vision, reference architecture, and roadmap (current-state assessment, target-state design, transition plans). - CRM & Customer Data: Design and govern scalable CRM data models and integration patterns; enable a unified customer view across channels and downstream consumers. - Data Science & AI (LLM): Partner with data science teams to operationalize ML/LLM use cases; define patterns for feature/data access, prompt/response data management, evaluation, and model risk controls. - Data Engineering & Integration: Guide design and...