Associate Director, Data Management & Visualization

OMDUS OMD USA LLC; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Omnicom is seeking an Associate Director, Data Management & Visualization, to ensure timely, accurate data for decision-making across agency and client teams. You’ll lead design of taxonomies, data quality, and AI-enabled analytics, while driving scalable DM&V capabilities and centralized reporting.

The role requires 6+ years in marketing science, analytics, or data engineering, with strong BI, SQL, and cloud tools experience. Office presence is expected in a collaborative, global environment.

Qualifications

• BS/BA or MS in Business, Marketing, Statistics, Mathematics, Data Science, Information Systems, CS, Engineering.
• 6+ years’ experience in marketing science, advertising analytics, BI, or data engineering.
• Experience with cloud tech (Snowflake, Databricks) and generative AI tools.
• Proficiency with SQL; Python or DAX preferred; strong BI tooling knowledge.
• Excellent communication and ability to influence cross-functional teams.

Responsibilities

• Design and optimize workflows, systems, and tools for scalable operations.
• Govern analytics initiatives; develop taxonomies, data quality standards, and compliance.
• Advance DM&V capabilities across data ops, reporting, and dashboards.
• Drive AI-ready datasets and AI/machine learning capabilities.
• Deliver centralized reporting and self-serve dashboards for global rollouts.

Skills

Communication

Stakeholder management

Leadership

Data storytelling

SQL

Python

Data visualization

Experimentation & AI readiness

Education

Bachelor's or Master's in Business, Marketing, Statistics, Mathematics, Data Science, IS, CS, Engineering

Tools

Snowflake

Databricks

Power BI

Tableau

Azure Data Factory

dbt

Alteryx

Adverity

Rivery

JIRA

Asana

Python

SQL

DAX

Job description

Omnicom is seeking an Associate Director, Data Management & Visualization, to ensure timely, accurate data for decision-making across agency and client teams. You’ll lead design of taxonomies, data quality, and AI-enabled analytics, while driving scalable DM&V capabilities and centralized reporting.

The role requires 6+ years in marketing science, analytics, or data engineering, with strong BI, SQL, and cloud tools experience. Office presence is expected in a collaborative, global environment.