Senior Manager, Data Infrastructure and Operations
Headquartered in Cambridge, Massachusetts, CarGurus is the all-in-one platform that’s moving the entire car shopping journey online and guiding customers through each step. This includes everything from selling an old car to financing, purchasing, and delivering a new one. Today, millions of consumers visit cargurus.com each month, and more than 30,000 dealerships use our products. We have a people-first culture that fosters kindness, collaboration, and innovation, while empowering our Gurus with tools and resources to fuel their career growth. Our goal is to give all people—consumers, dealers, and our employees—the power to reach their destination.
Job Description
Role overview
The Data Engineering team at CarGurus is looking for a Sr Manager Data Infrastructure and Operations to enable data-driven decisions across the company. You will be responsible for delivering scalable and highly performant data models that power reporting solutions for stakeholders in Product Management, Marketing, Finance, and other key areas of the business. We are looking for a candidate who can work collaboratively with our partners and customers, who can also actively contribute to our corporate data strategy as we continue to grow and evolve our core business.
What you’ll do
- Lead, mentor, and develop a high-performing data engineering infrastructure and operations team, fostering a culture of continuous learning and growth.
- Act as the technical leader for our data platform, overseeing architectural decisions, promoting best practices, and ensuring data integrity, scalability, and security in conjunction with our Enterprise Data Architect.
- Collaborate closely with stakeholders to align the data platform's capabilities with business objectives and identify impactful data-driven opportunities.
- Work with Technical Product Manager on the planning and execution of data infrastructure initiatives, including resource allocation and timeline management, to support strategic product goals.
- Conduct technical explorations and evaluations of new tools, technologies, and methodologies to keep our data platform innovative and adaptable.
- Manage scalable ELT processes within our data ecosystem, optimizing data pipelines to ensure seamless data integration and accessibility.
- Enable and empower self service data ingestion.
- Encourage cross-functional collaboration with engineering and business teams, fostering partnerships that enhance data accessibility, discovery, and insights across the organization.
What you’ll bring
- You are an experienced leader with a track record of managing and developing high-performing teams. You excel at coaching, mentoring, and creating growth opportunities for your team members, helping them achieve their professional goals.
- You have a deep understanding of data analytics principles and experience overseeing complex data landscapes, guiding technical direction, and maintaining high standards for data quality and reliability.
- You possess strong communication and collaboration skills, allowing you to work effectively with cross-functional teams, including Product, Analytics, and other Engineering leaders, to drive alignment and achieve business goals.
- You’ve led distributed data teams across different geographies.
- You are skilled at balancing technical rigor with business needs, translating complex data requirements into actionable initiatives that are scalable, secure, and strategically aligned with company objectives.
- You are comfortable engaging in technical explorations and resource allocation to ensure initiatives are both impactful and feasible.
- 8+ years of experience in product/business analytics, data engineering, analytics engineering, or related fields.
- 3+ years of hands-on people management experience.
- You bring extensive experience in data warehousing, ELT processes, and are proficient in the Snowflake ecosystem.
- Familiarity with Looker, Fivetran and DBT.
- Familiarity with real time event capture logging and ingestion.
- Experience working with a cloud data warehouse (e.g., Snowflake, Databricks, Google BigQuery) and a modern business intelligence platform (e.g., Tableau, Looker, Sigma)
- Expert level SQL proficiency and deep familiarity with dimensional modeling best practices
- An ability to build a multi-sprint plan for a complex data modeling project from loosely defined business requirements
Role overview
The Data Engineering team at CarGurus is looking for a Sr Manager Data Infrastructure and Operations to enable data-driven decisions across the company. You will be responsible for delivering scalable and highly performant data models that power reporting solutions for stakeholders in Product Management, Marketing, Finance, and other key areas of the business. We are looking for a candidate who can work collaboratively with our partners and customers, who can also actively contribute to our corporate data strategy as we continue to grow and evolve our core business.
What you’ll do
- Lead, mentor, and develop a high-performing data engineering infrastructure and operations team, fostering a culture of continuous learning and growth.
- Act as the technical leader for our data platform, overseeing architectural decisions, promoting best practices, and ensuring data integrity, scalability, and security in conjunction with our Enterprise Data Architect.
- Collaborate closely with stakeholders to align the data platform's capabilities with business objectives and identify impactful data-driven opportunities.
- Work with Technical Product Manager on the planning and execution of data infrastructure initiatives, including resource allocation and timeline management, to support strategic product goals.
- Conduct technical explorations and evaluations of new tools, technologies, and methodologies to keep our data platform innovative and adaptable.
- Manage scalable ELT processes within our data ecosystem, optimizing data pipelines to ensure seamless data integration and accessibility.
- Enable and empower self service data ingestion.
- Encourage cross-functional collaboration with engineering and business teams, fostering partnerships that enhance data accessibility, discovery, and insights across the organization.
What you’ll bring
- You are an experienced leader with a track record of managing and developing high-performing teams. You excel at coaching, mentoring, and creating growth opportunities for your team members, helping them achieve their professional goals.
- You have a deep understanding of data analytics principles and experience overseeing complex data landscapes, guiding technical direction, and maintaining high standards for data quality and reliability.
- You possess strong communication and collaboration skills, allowing you to work effectively with cross-functional teams, including Product, Analytics, and other Engineering leaders, to drive alignment and achieve business goals.
- You’ve led distributed data teams across different geographies.
- You are skilled at balancing technical rigor with business needs, translating complex data requirements into actionable initiatives that are scalable, secure, and strategically aligned with company objectives.
- You are comfortable engaging in technical explorations and resource allocation to ensure initiatives are both impactful and feasible.
- 8+ years of experience in product/business analytics, data engineering, analytics engineering, or related fields.
- 3+ years of hands-on people management experience.
- You bring extensive experience in data warehousing, ELT processes, and are proficient in the Snowflake ecosystem.
- Familiarity with Looker, Fivetran and DBT.
- Familiarity with real time event capture logging and ingestion.
- Experience working with a cloud data warehouse (e.g., Snowflake, Databricks, Google BigQuery) and a modern business intelligence platform (e.g., Tableau, Looker, Sigma)
- Expert level SQL proficiency and deep familiarity with dimensional modeling best practices
- An ability to build a multi-sprint plan for a complex data modeling project from loosely defined business requirements
