VP of Data
Updated on 11/15/2023
Cambridge, MA, USA
Experience Level
Desired Skills
Apache Spark
Apache Kafka
Data Analysis
Data Science
Data Structures & Algorithms
Google Cloud Platform
Microsoft Azure
Data & Analytics
  • 10+ years of experience running data teams
  • Dynamic leadership and management experience of multi-disciplined, technology teams with various priorities
  • A deep understanding and passion for solving complex system and data challenges and desire to thrive in a constantly innovating, changing and collaborative environment
  • Past experience as a technical expert in engineering, data analytics, BI, machine learning, data science, etc prior to leadership/management
  • Experience with Snowflake, Snowplow, DBT, Fivetran, Sagemaker, Looker, Tableau or other similar data technology
  • Passion for providing people mentorship and be able to review critical code/designs
  • You have a deep understanding of data infrastructure, systems, and tools, as well as experience building and managing large-scale data platforms
  • You have a strong track record of delivering results, and are able to effectively prioritize and manage multiple competing priorities across different business units
  • You are passionate about experimentation and optimization, and are always looking for ways to innovate and improve testing frameworks and methodologies
  • You have a deep understanding of site-instrumentation, user journey tracking, site-tracking, and clickstream logging systems, as well as experience building and managing large-scale tracking platforms
  • You have experience developing and implementing large scalable systems, best practices and standards for data management, governance, and security, and have a strong understanding of industry standards and regulations
  • You have experience managing teams that develop and deploy predictive models and algorithms–you have worked with teams that design and implement machine learning pipelines, across the full ML lifecycle including R&D, model training, and deployment into production services integrated into a product
  • Demonstrated experience in managing the entire core data tech stack, from data ingestion and storage to processing and analysis, and deploying data products and services in a scalable and reliable manner
  • Be an active, decisive, strategic voice and advocate on the CarGurus Senior Management Team, driving our data vision forward, all while improving the quality of our decision making
  • Design, build and drive overall strategy, methodology, and roadmaps for processes, systems, tools and capabilities required to produce and maintain our core data assets, in a highly iterative environment
  • Work closely and collaborate with functional and business stakeholders to synthesize and provide guidance on overall system design and architecture, drive business, and ensure that each treats data as a first-class citizen in their systems and applications
  • Oversee the development and implementation of enterprise and client-facing data management strategies to collect, store and increase usability and quality of enterprise and client data from multiple diverse sources.
  • Oversee the development and maintenance of site-instrumentation and tracking platforms and tools, and ensure they are scalable, reliable, and secure
  • Stay up-to-date with emerging trends and technologies in the data space, and leverage that knowledge to identify new opportunities and best practices that can improve the company's data capabilities
  • Be responsible for the leadership, management, and growth of employees at varying levels within the organization
  • Lead and manage teams responsible for designing, analyzing, and facilitating A/B testing and multivariate testing, as well as implementing new testing methodologies to optimize website and product performance
  • Lead and manage teams responsible for deploying machine learning models into production and building services that integrate data-driven intelligence into the site
Desired Qualifications
  • Experience with other data technologies such as Hadoop, Spark, Kafka, etc.
  • Experience in the automotive industry
  • Experience with cloud platforms such as AWS, GCP, or Azure
  • Experience with data governance and compliance
  • Experience with data visualization tools and techniques