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 use data to improve business decisions in the art and luxury commerce space. We are looking for an experienced Customer Data Platform (CDP) Lead to help us automate and optimize our unified data layer across our consumer applications. As the CDP Lead for product and technology, you will lead the architecture design and drive the technical direction for managing and utilizing customer data to improve business objectives. You will turn business questions from stakeholders into detailed and documented tracking specifications across all platforms. You will be a key player in our transformation to a data driven organization.
In this role you will apply your technical expertise, business strategy acumen, and project management skills to lead new data-driven approaches for delivering actionable business insights, and unlocking the value of our data. You will drive the data layer development process as an integrated member of the teams you support. Your goal is to facilitate a self-serve analytics culture, and work cross functionally as new features and enhancements are released to ensure that key success metrics are identified and tracked.
RESPONSIBILITIES
- Own the strategy and operations of our data pipelines, how we use Segment, funneling data into the right places, etc.
- Develop and maintain a detailed tracking plan that outlines the events, properties, and user identifiers to be tracked, ensuring consistency and clarity.
- Validate the data collected by Segment against the tracking plan, identifying and resolving any discrepancies or issues.
- Transforms and enriches the collected data using Segment's features (e.g., transformations, libraries) to ensure it's in a usable format for downstream tools.
- Implementation & Configuration of Segment libraries and integrations across websites, mobile apps, and other platforms, configuring them to collect the necessary data and create a unified customer view.
- Manages integrations between Segment and various analytics tools, marketing platforms, and other systems.
- Collaborates with Product, Marketing, and Engineering teams to understand their data needs, ensure effective data tracking, and drive implementations to completion.
- Develop actionable insights on customer onsite behavior that guide business decisions while prioritizing across business units and other stakeholders
- Establishes and enforces best practices for data tracking, ensuring consistency and maintainability.
- Monitors the performance of the tracking implementation, identifying areas for optimization and improvement.
- Gathering requirements from stakeholders, doing exploratory data analysis, building models or analytics dashboards for jointly developed KPIs, and automating deployment of actionable insights to the business
IDEAL EXPERIENCE & COMPETENCIES
- Direct experience with implementations of Segment analytics in world class organizations.
- Expert-level proficiency in Segment Libraries, Protocols, Segment HTTP API
- Degree in Data Science, Statistics, Analytics, CS, or other quantitative field preferred OR 5+ years stellar track record in data management, analytics, and reporting.
- 5+ years professional experience ideally in a B2C business
- 3+ years experience as a data analyst or product analyst with Segment implementations (must have strong product and user experience sense)
- Hands-on experience in Data Warehousing for storing and analyzing collected data, including data modeling.
- Strong knowledge of Snowflake platform, data modeling tools (i.e. dbt), and SQL.
- Experience with modern analytic tools - like Google Analytics, Amplitude, Optimizely, Segment, Braze, Tableau, Sigma, etc.
- Has excellent written and verbal communication skills. Has ability to craft a compelling story for stakeholder management and concisely present recommendations across teams and levels to solve problems and drive technical solutions.
- Able to work with little supervision and meet deadlines on a consistent basis
- Highly organized with the ability to multitask in a fast paced environment
- Open to US based candidates
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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, 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.
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