Data Manager, Retail Media Network & Analytics

TheCorporate; New York (NY); On-site; USD 90,000 - 135,000; Full time

Job summary

TheCorporate seeks a Data Manager to lead end-to-end data management for the RMN platform, including ingestion, transformation, governance, and analytics enablement. You will deliver reliable, scalable datasets for media reporting, campaign performance, retail insights, and executive dashboards.

Collaborating with data engineers, analysts, IT, marketing, and business stakeholders, you will define data standards, oversee pipelines across Snowflake, Azure, and BigQuery, ensure data quality, and

Qualifications

• Experience in data management, data engineering, analytics, or business intelligence.
• Strong SQL, data transformation, and data quality skills.
• Experience with cloud platforms (BigQuery, Snowflake, Azure).
• Familiarity with Looker and LookML for modeling and dashboards.
• Ability to translate business requirements into scalable data solutions.
• Excellent problem-solving and stakeholder management.
• Experience with retail/media datasets is a plus.

Responsibilities

• Own data strategy and management across source systems and analytics layers.
• Oversee data pipelines from source systems to reporting assets.
• Ensure data quality, governance, and compliance.
• Collaborate with IT, engineering, and business stakeholders.
• Support Looker modeling and dashboard delivery.
• Mentor data engineers and analysts.

Skills

Data management

Data pipelines

SQL

Looker

LookML

Python

Stakeholder management

Cloud data platforms

Tools

BigQuery

Snowflake

Azure

ETL Tools

Job description

TheCorporate seeks a Data Manager to lead end-to-end data management for the RMN platform, including ingestion, transformation, governance, and analytics enablement. You will deliver reliable, scalable datasets for media reporting, campaign performance, retail insights, and executive dashboards.

Collaborating with data engineers, analysts, IT, marketing, and business stakeholders, you will define data standards, oversee pipelines across Snowflake, Azure, and BigQuery, ensure data quality, and