Manager, Analytics (AdTech)

Location: New York, United States

Salary: $60,000–$140,000 USD per year

Company

hirify.global operates within WPP Media, an AI-driven media unit combining media, data, partnerships, and WPP Open to deliver personalized marketing and measurable brand growth.

What you will do

• Build and automate campaign insights, data visualizations, and performance optimizations for programmatic media campaigns.
• Develop and deploy data products, automated scripts, ETL pipelines, and data management processes across AWS, Azure, and Google Cloud Platform.
• Gather, store, profile, cleanse, and maintain large datasets from ad servers, DSPs, DMPs, and ad verification platforms.
• Collaborate with client leads, application developers, operations engineers, architects, and data scientists to translate product requirements into technical specifications.
• Optimize cloud process performance and cost efficiency while supporting high availability and reliable error handling.
• Provide production support for data load jobs and create automated periodic reporting through customized queries.

Requirements

• Bachelor’s degree in marketing, advertising, economics, computer science, information systems, business analytics, or a related field, or equivalent professional experience.
• 3–5 years of experience in data engineering, marketing analytics, data science, or technology consulting.
• Strong SQL and Python skills, with expertise in data architecture, database design, ETL, custom query development, and at least one major database platform.
• Experience building data pipelines and using data profiling, ETL, and data management tools in Azure, GCP, or AWS.
• 2–3 years of experience with GCP or equivalent services such as Cloud Storage, DataProc, Dataflow, CloudSQL, and BigQuery.
• Experience with data warehousing, data modeling, Linux command line, source code management, Agile/Scrum, and project management tools.

Nice to have

• Experience processing, developing, or cleansing data for AI/ML purposes.
• Experience delivering engagements across data architecture, integration, analytics, governance, data quality, and BI reporting.
• Excellent client-facing communication and writing skills.

Culture & Benefits

• Competitive benefits package.
• Work involves collaboration across client, engineering, architecture, operations, and data science functions.
• Opportunity to contribute to AI-driven media products and data services.