Infra Data Engineering Leader, Analytics Responsibilities:
- Manage the delivery of high impact dashboards and data visualizations
- Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
- Define the processes needed to achieve operational excellence in all areas, including project management and system reliability
- Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision
- Build a high-quality BI and Data Warehousing team and design the team to scale
- Manage data warehouse plans across a product vertical
- Drive the design, building, and launching of new data models and data pipelines in production
- Drive data quality across the product vertical and related business areas
- Define and manage SLA’s for all data sets and processes running in production
Minimum Qualifications:
- 9+ years of experience in BI and Data Warehousing
- Experience scaling and managing 10+ person teams
- Experience managing managers
- Experience leading cross-functional initiatives and communicating technical strategy to engineering and business stakeholders
- Project management experience
- Data architecture experience
- Experience in SQL or similar languages
- Development experience in at least one object-oriented language (Python, Java, etc.)
Preferred Qualifications:
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience with data sets, Hadoop, and data visualization tools
- Advanced degree
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience in a consumer web or mobile company