Data Engineering Leader, BI & AI Infrastructure

Meta; Menlo Park (CA); On-site; USD 210,000 - 320,000; Full time

Job summary

Meta in Menlo Park is seeking a senior leader to own BI and data warehousing strategy and delivery. You will lead cross-functional teams of data scientists, engineers, and product managers to design, implement, and scale data models, pipelines, and dashboards that power Meta's ads infrastructure and monetization decisions.

You will drive operational excellence, governance, and AI-enabled improvements while managing a growing team and aligning with product goals across platforms.

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.). Demonstrated ongoing AI skill development and staying current with AI technologies.
• Experience with data sets, Hadoop, and data visualization tools.
• Advanced degree.
• Experience adhering to and implementing responsible, ethical AI practices (risk assessment, bias mitigation, quality and accuracy reviews).
• Demonstrated ability to integrate AI tools to optimize workflows and drive impact.
• Experience in a consumer web or mobile company.

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 processes needed to achieve operational excellence in project management and system reliability.
• Proactively drive the vision for BI and Data Warehousing across a product vertical and execute on a plan.
• Build a high-quality BI and Data Warehousing team and design the team to scale.
• Manage data warehouse plans across a product vertical.
• Drive 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 SLAs for all data sets and processes running in production.

Skills

BI & Data Warehousing

Leadership

Cross-functional collaboration

Project management

Data architecture

SQL proficiency

Python/Java

AI skills development

Data visualization

Hadoop experience

Responsible AI practices

Consumer web/mobile experience

Education

Bachelor's degree in Computer Science or related field

Advanced degree

Tools

Hadoop

Data visualization tools

Job description

Meta in Menlo Park is seeking a senior leader to own BI and data warehousing strategy and delivery. You will lead cross-functional teams of data scientists, engineers, and product managers to design, implement, and scale data models, pipelines, and dashboards that power Meta's ads infrastructure and monetization decisions.

You will drive operational excellence, governance, and AI-enabled improvements while managing a growing team and aligning with product goals across platforms.