SVP, Head of Data and AI Strategy

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Established in 1744, Sotheby’s is the world’s premier destination for art and luxury. Sotheby’s promotes access to and ownership of exceptional art and luxury objects through auctions and buy‑now channels including private sales, e‑commerce and retail. Our trusted global marketplace is supported by an industry‑leading technology platform and a network of specialists spanning 40 countries and 70 categories which include Contemporary Art, Modern and Impressionist Art, Old Masters, Chinese Works of Art, Jewelry, Watches, Wine and Spirits, and Design, as well as collectible cars and real estate.

Sotheby’s believes in the transformative power of art and culture and is committed to making our industries more inclusive, sustainable and collaborative.

At Sotheby’s we’re using data to drive the way business decisions are made in the art and luxury commerce space. This enables us to efficiently scale our core businesses for our clients. Sotheby’s is looking for a SVP of Data/AI to lead the organization through all efforts that drive business performance and potential by using existing and new data sources and techniques.

This executive will be responsible for driving data‑driven innovation across the organization and its digital assets. In this role, you will oversee functions such as Data Science and Machine Learning, Business Intelligence, Data Governance, and Data Quality.

This leader is responsible for the overall analytics roadmap (including marketing analytics, product analytics, and business/financial analytics as well as insights), resource allocation, and making buy‑build‑partner decisions. Overseeing functions such as Data Science and Machine Learning, Business and Product Intelligence, Data Governance, Data Quality and Digitization. You will work closely with clients, product leaders and our Engineering team to ensure that intelligence is infused throughout our organization and products.

• Develop and execute a strategic roadmap for data science initiatives aligned with business goals.
• Lead cross‑functional teams in building predictive models, machine learning algorithms, and AI‑driven solutions.
• Evaluate third‑party partnerships and use cases for feasibility and financial viability with an eye toward speedy execution.
• Champion data governance, quality, and ethical use of AI across the organization.
• Translate complex data insights into actionable business strategies for stakeholders.
• Foster a culture of experimentation, continuous learning, and innovation.

• Master’s or PhD in Computer Science, Data Science, or related field, or 15+ years of experience in data science and analytics, with at least 10 years in leadership roles.
• Proven track record of building and scaling teams and programs.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and data engineering.
• Exceptional communication, stakeholder management, and strategic thinking skills.

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The Company is an equal opportunity employer and considers all applicants for employment without regard to race (including, without limitation, traits historically associated with race, such as natural hair, hair texture, and protective and treated or untreated hairstyles), color, creed, religion, sex, sexual orientation, marital or civil partnership/union status, national origin, age, disability, pregnancy, genetic predisposition, genetic information, reproductive health decision, gender identity or expression, alienage or citizenship status, domestic violence victim status, military or veteran status, or any other characteristic protected by federal, state/province or local law.

The Company complies with applicable state and local laws prohibiting discrimination in employment in every jurisdiction in which it operates.