Senior Manager Data Engineering

Job Description

ABOUT OUTFRONT MEDIA

The best ideas in advertising don't only live on a screen. They live on the street, in the subway, along the freeway and in the moments people actually notice. At OUTFRONT Media, we call that "In Real Life" (IRL) media, and we're looking for top technical talent to bring it to the most entrepreneurial corner of the advertising world.

Build the data engine behind America's biggest screens

Every day, millions of people pass an OUTFRONT Media screen, from digital billboards over highways to displays on subway platforms. Behind every one of those moments is data.

We're looking for a Senior Manager, Data Engineering to lead the team that powers it. This is a player-coach role: you'll build and develop a talented team while staying close to the code, the architecture and the hardest technical problems.

You'll also set the pace for AI-assisted engineering , using tools like Claude Code, Kiro, Amazon Bedrock and Snowflake Cortex AI to change how the team builds.

Why you'll love this role

• Real impact you can see. Your pipelines and models feed the dashboards, analytics and data science that drive a nationwide advertising network.
• A modern stack. You'll work with AWS, Snowflake, dbt, Fivetran, Sigma Computing, Bedrock and Snowflake Cortex, and you won't be stuck maintaining legacy systems.
• AI at the center of how we build. You'll define the workflows, guardrails and standards for AI-assisted engineering, not just experiment on the side.

What you'll do

Lead and grow the team

• Hire, onboard, mentor and develop a team of Data Engineers, with a focus on growing early-career talent, and own performance management and career development.
• Set the engineering bar for pipelines, data modeling, testing, CI/CD, observability and code review, and hold the team to it.

Deliver like a product team

• Own the team's backlog and delivery plan. Prioritize with business and analytics partners, and treat data as a product with clear users and outcomes.
• Run Agile delivery in Jira, Confluence and the Atlassian suite, using delivery metrics to improve predictability and keep stakeholders informed.

Stay hands-on with the technology

• Design and build scalable pipelines, data models and warehouse structures with AWS, Snowflake, dbt and Fivetran, and take on the most complex technical work alongside the team.
• Own the data foundation behind dashboards, self-service analytics in Sigma Computing and data science, keeping it fast, reliable, well monitored and cost-efficient across Snowflake and AWS.

Lead the AI shift

• Champion AI-assisted engineering with Claude Code and Kiro. Establish practical workflows and guardrails, coach engineers, and measure the impact on productivity and quality.
• Build AI-enabled data solutions on AWS Amazon Bedrock and Snowflake Cortex (AI functions, Cortex Analyst, Cortex Search and Cortex Code), following clear guidelines for privacy, security, access, cost and human review.

What you bring

• 8+ years designing and implementing modern data warehouse and data engineering solutions, with advanced SQL and Python and robust ETL/ELT pipelines.
• 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, including data modeling in Snowflake and transformation workflows in dbt.
• A track record of running Agile delivery and applying product management practices (roadmaps, prioritization and outcome-based planning) to data work.
• Expert-level knowledge of Jira, Confluence and the Atlassian suite, including boards, workflows, dashboards and automation.
• Hands-on fluency with AI-assisted coding tools such as Claude Code and Kiro, with real examples of delivering faster without sacrificing quality or security.
• Working experience with AWS Amazon Bedrock and Snowflake Cortex (including Cortex Code) to build or enable generative AI solutions.
• Familiarity with BI platforms, ideally Sigma Computing (Tableau and/or Power BI a plus).

Your technical toolkit

• Modern data and analytics engineering, including CI/CD, testing, orchestration, infrastructure as code and observability.
• AI-assisted development practices, including prompt and context design, spec-driven development, and secure review of AI-generated code.
• Data modeling, semantic layer design, data governance, quality, security and privacy.
• Ad tech knowledge, including identity management, data privacy, audience targeting, cross-device graphs, ad serving, analytics, DSP, DMP, SSP, QA and targeting.

How you lead

• You're a proven people leader who develops and keeps strong engineering talent, coaches early-career engineers, and gives clear, candid feedback.
• You align technical and business stakeholders on priorities and trade-offs, and explain complex ideas to non-technical audiences.
• You have strong business sense, a product mindset, and the judgment to separate AI hype from real value.

Education

Bachelor of Engineering in Computer Science or equivalent experience preferred.

Compensation

The salary range for this role is $180,000 - $210,000 annually. Compensation is determined during our interview process by assessing a candidate's experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position, and collective bargaining agreement terms. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York Salary Transparency Law.

Ready to lead the data team behind the screens everyone sees?

Apply today and help us shape the future of data and AI in out-of-home advertising.