Manager Data Engineering - Retail Media Network Platform

About the role

The Data Manager will oversee end-to-end data management across the Retail Media Network platform, ensuring reliable, scalable, and business-ready datasets for media reporting, campaign performance measurement, retail operations insights, and executive dashboards.

Responsibilities

• Data Strategy and Management
• Own the overall data management approach across source systems, cloud data platforms, analytics layers, and reporting tools.
• Define standards for data ingestion, transformation, validation, documentation, and usage.
• Ensure data assets are structured to support retail media use cases, including campaign reporting, audience insights, media performance, and promotional analytics.
• Partner with business stakeholders to understand data requirements and translate them into scalable data solutions.
• Data Pipeline and Integration Oversight
• Oversee the design, development, and maintenance of data pipelines that extract data from systems such as Snowflake, Microsoft Azure, Google BigQuery, and other enterprise platforms.
• Ensure efficient data ingestion, transformation, and loading processes across source and target systems.
• Manage integration between multiple data sources to ensure consistency, reliability, and usability of data.
• Collaborate with IT and engineering teams to troubleshoot pipeline issues, optimize data flows, and improve system performance.
• Establish error handling, monitoring, and exception management processes to maintain data integrity.
• Support cloud-based data integration patterns using Microsoft Azure services where applicable.
• Data Quality, Governance, and Compliance
• Define and enforce data quality standards, including validation, normalization, standardization, and reconciliation processes.
• Implement governance best practices to ensure data accuracy, consistency, security, and compliance.
• Maintain clear documentation for data sources, data definitions, transformation logic, data mappings, and business rules.
• Ensure data handling practices align with internal governance, privacy, and compliance policies.
• Data Modeling and Analytics Enablement
• Oversee data modeling efforts in platforms such as Google BigQuery, Snowflake, Microsoft Azure, and Looker.
• Guide the development of LookML models to support scalable and reusable reporting.
• Ensure datasets are structured properly for dashboarding, self-service analytics, and advanced analysis.
• Partner with analysts to validate business logic, metrics definitions, and reporting outputs.
• Support the creation of actionable reports and dashboards for marketing, media, retail, and leadership teams.
• Retail Media and Business Insights Support
• Manage data related to retail media campaigns, media datasets, convenience store operations, marketing performance, and promotional activity.
• Work with marketing and media teams to ensure data is available for campaign optimization, measurement, and reporting.
• Support analysis of media performance, retail behavior, customer engagement, and operational trends.
• Help translate data insights into business recommendations for stakeholders.
• Team Leadership and Cross-Functional Collaboration
• Lead and coordinate data engineers, data analysts, and other technical resources involved in data delivery.
• Facilitate communication between business teams, IT, analytics, and engineering groups.
• Participate in planning sessions, project reviews, and stakeholder meetings to align data initiatives with business goals.
• Prioritize data workstreams, manage dependencies, and ensure timely delivery of data products.
• Promote best practices in data engineering, analytics, documentation, and governance.

Qualifications

• Proven experience in data management, data engineering, analytics, or business intelligence.
• Strong understanding of data pipelines, ETL/ELT processes, data integration, and data transformation.
• Experience with cloud data platforms such as Google BigQuery, Snowflake, and Microsoft Azure.
• Familiarity with Microsoft Azure data services and cloud-based data integration patterns.
• Strong SQL skills for querying, validation, and data analysis.
• Experience with dashboarding and BI tools, especially Looker.
• Working knowledge of LookML and semantic data modeling.
• Understanding of Python-based data processing and libraries such as Pandas, NumPy, or PySpark.
• Strong knowledge of data quality, data governance, metadata management, and compliance principles.
• Experience working with media datasets, marketing data, or retail/convenience store data.
• Excellent problem-solving, analytical, communication, and stakeholder management skills.
• Ability to manage large datasets and ensure accuracy, scalability, and reliability.

Preferred Qualifications

• Experience in Retail Media Networks, digital media, ad tech, or marketing analytics.
• Experience managing cross-functional data teams or data delivery workstreams.
• Knowledge of campaign performance measurement, audience data, media reporting, and retail transaction data.
• Familiarity with modern cloud-based data architectures, especially Microsoft Azure-based data ecosystems.
• Experience defining KPI frameworks, metric governance, and reporting standards.
• Ability to bridge technical and business teams and explain complex data concepts clearly.

Success Measures

• Reliable and scalable data pipelines across source systems and analytics platforms.
• High data quality and reduced reporting discrepancies.
• Clear ownership of data definitions, transformation logic, and governance standards.
• Faster delivery of trusted dashboards and analytics outputs.
• Strong alignment between business requirements and technical data solutions.
• Improved ability for marketing, media, and retail teams to make data-driven decisions.

Benefits

• Free Healthcare Insurance
• 401(k) Retirement Plan
• Free Life Insurance
• Sick Time Off

Learn More

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