- Company Name
- Sotheby's
- Job Title
- SVP, Head of Data and AI Strategy
- Job Description
-
**Job title:**
SVP, Head of Data and AI Strategy
**Role Summary:**
Lead the enterprise-wide data and AI strategy, driving data‑driven decision making across business, product, and marketing domains. Build and scale analytics teams, develop predictive models, machine learning solutions, and AI initiatives. Ensure data governance, quality, and ethical standards while integrating insights into product and business strategies.
**Expectations:**
- Define and execute a clear data‑AI roadmap aligned with business goals.
- Deliver measurable performance improvements and innovation through data and AI.
- Foster a culture of experimentation, continuous learning, and responsible AI use.
**Key Responsibilities:**
- Oversee Data Science & AI, Business Intelligence, Data Governance, Data Quality, and Digitization functions.
- Lead cross‑functional teams to build predictive models, ML algorithms, and AI‑driven products.
- Evaluate and manage third‑party partnerships, vendors, and build‑or‑buy decisions.
- Translate complex analytics into actionable strategies for senior stakeholders.
- Champion data governance, data quality, and ethical AI practices across the organization.
- Collaborate with product, engineering, and client teams to embed analytics into all business processes.
- Allocate resources, set metrics, and report on KPI progress to executive leadership.
**Required Skills:**
- Strategic leadership with deep analytical expertise.
- Proven track record building, scaling, and managing data and AI teams.
- Strong knowledge of cloud platforms (AWS, Azure, GCP) and data engineering concepts.
- Experience with advanced analytics, predictive modeling, and AI solution delivery.
- Excellent communication, stakeholder management, and translation of technical insights into business value.
- Robust understanding of data governance, data quality, and AI ethics.
**Required Education & Certifications:**
- Master’s or Ph.D. in Computer Science, Data Science, Statistics, or related field, **or** 15+ years of data science/analytics experience with 10+ years in leadership roles.
- Relevant certifications in data science, cloud architecture or AI (e.g., AWS/Google Cloud Certified – Professional Data Engineer, Microsoft Azure Data Scientist Associate) are a plus.