Financial Data & Analytics Lead

Confirmed live in the last 24 hours

Sotheby's

London

On-site

Posted April 16, 2026

Job Description

ABOUT SOTHEBY'S

Established in 1744, Sotheby’s promotes access and ownership of exceptional art and luxury objects through auctions, private sales and retail. Our deep expertise across 70 selling categories is supported by a leading technology platform and a global network of specialists spanning 40 countries. Selling categories 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 through RM Sotheby’s and Concierge. Sotheby’s Financial Services is a leading art lender and provides capital solutions for collectors around the world, having originated more than $12 billion in loans since its inception. Sotheby’s new global headquarters is now open at the iconic Breuer building at 945 Madison Avenue in New York City.

THE ROLE

We are seeking a highly skilled Financial Data & Analytics Lead to establish and drive a new Financial Data Center of Excellence (CoE) within the Finance function.

This role will shape the future of how financial data is governed, structured, and consumed across the business.

You will play a key role in our multi‑year transformation program, including major system upgrades and migrations and consolidation of enterprise data into our Snowflake data lake (managed by the central IT Data Platform team).

This role demands a uniquely strong combination of deep financial expertise and advanced data proficiency, ensuring the successful candidate can effectively navigate complex financial processes while architecting, governing, and optimizing modern data solutions.

RESPONSIBLITIES

Build & Lead the Finance Data Center of Excellence
1. Establish data standards, data models, and governance practices for all financial data domains.
2. Develop documentation, data dictionaries, lineage mapping, and best practices.
3. Promote data literacy and self‑service analytics across the finance community
4. Serve as Finance’s data SME and partner to business teams, IT, and transformation programs
Financial Data Architecture & Strategy
1. Define the target‑state financial data architecture and guide its implementation.
2. Work with IT to design data ingestion, integration, and transformation logic in Snowflake.
3. Identify data gaps, quality issues, and process inefficiencies, lead remediation initiatives.
4. Align data structures with evolving reporting, FP&A, and regulatory requirements
System Migration Projects
1. Act as Finance’s data lead for the migration to future platforms translating stakeholders' needs in clear and actionable data strategies
2. Map finance master data and transactional data from legacy systems to new structures.
3. Support testing, validation, and cutover for both data and reporting capabilities.
4. Coordinate data‑related elements across other system upgrades (e.g., planning tools, billing, procurement).

Data Quality Ownership & Continuous Improvement
1. Partner with IT and business units to ensure consistent, accurate, and reliable data flows
2. Build monitoring dashboards and issue‑resolution processes.

Reporting & Analytics Enablement
1. Develop analytical models and datasets to enable advanced insights for FP&A and Controlling.
2. Work with Finance stakeholders to translate business requirements into data solutions.
3. Support automation and simplification of reporti

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