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Sotheby's

SVP, Head of Data and AI Strategy

Reposted 13 Days Ago
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In-Office
London, Greater London, England
Expert/Leader
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In-Office
London, Greater London, England
Expert/Leader
Lead data-driven innovation at Sotheby's, overseeing data initiatives across multiple functions. Develop strategies and frameworks for analytics, ensuring ethical data governance and leveraging data for business insights.
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ABOUT SOTHEBY'S

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.

THE ROLE

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. The ideal candidate requires deep analytical expertise, ensuring that data is both leveraged and protected to its fullest potential. 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.

Data Science and AI Leadership

  • 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

IDEAL EXPERIENCE & COMPETENCIES

  • 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), & data engineering
  • Exceptional communication, stakeholder management, and strategic thinking skills

To view our Candidate Privacy Notice for the US, please click here.

To view our Candidate Privacy Notice for the UK, Hong Kong, France and Switzerland, please click here.

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, sexual orientation, 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.

Top Skills

AWS
Azure
GCP

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