Senior Data Engineering Lead - AI-Powered Platform

OUTFRONT Media; New York (NY); On-site; USD 180,000 - 210,000; Full time

Job summary

OUTFRONT Media in New York is seeking a Senior Manager, Data Engineering to lead and grow a data engineering team in a fast-paced, AI-powered environment. This player-coach role blends architecture, coding and mentorship while pushing AI-assisted engineering across the stack.

You will own the data backplane, drive Agile delivery, define standards, and partner with analysts and product owners to turn KPIs into scalable data products.

Qualifications

• 8+ years designing and implementing modern data warehouse and data engineering solutions.
• 3+ years leading or managing data engineers while staying hands-on in architecture and code.
• Strong hands-on experience with AWS, Snowflake, dbt and Fivetran.
• Experience with Agile delivery and product management practices for data work.
• Knowledge of Jira/Confluence and the Atlassian suite.

Responsibilities

• Build and grow the Data Engineering team, hiring, onboarding and coaching.
• Define engineering standards for pipelines, data modeling, testing, CI/CD and review.
• Own backlog and delivery plan with business and analytics partners for clear outcomes.
• Lead sprint planning, refinement and metrics in Jira/Confluence.
• Design and build scalable pipelines and warehouse structures with AWS, Snowflake, dbt and Fivetran.
• Support dashboards and self-service analytics by strengthening the data foundation.
• Lead AI shift in engineering with guardrails for Claude Code and Kiro.
• Ship AI-enabled data solutions using AWS Bedrock and Snowflake Cortex.
• Collaborate with analysts and product owners to turn KPIs into data products.
• Maintain data quality, monitoring and cost management across Snowflake and AWS.

Job description

OUTFRONT Media in New York is seeking a Senior Manager, Data Engineering to lead and grow a data engineering team in a fast-paced, AI-powered environment. This player-coach role blends architecture, coding and mentorship while pushing AI-assisted engineering across the stack.

You will own the data backplane, drive Agile delivery, define standards, and partner with analysts and product owners to turn KPIs into scalable data products.