Director, Data Operations

Omnicom Media US•Chicago, IL

2d•$90,000 - $215,000•Hybrid

About The Position

The Data Operations team is pivotal in the delivery of modern agency services. We are tightly integrated with planning and investment teams to deliver on and exceed our clients’ business goals.

Requirements

Experienced in building data visualization solutions (Tableau, Datorama, etc.) as well as automation solutions (Alteryx, Datorama, etc.)
Excellent presentation and communication skills
Demonstrated knowledge of the function and formation of standardized taxonomy practices for more accurate and efficient data collection & automation
Expert in QA resolution
Experienced with planning, optimization and analysis tools (Planit, Prisma, DDS)
Expert familiarity with self-serve tools within Search platforms (Google Ads, Bing, SA360), Programmatic DSPs (DV360, Yahoo, etc.), Ad Servers (CM360, Innovid, etc.), Social Platforms (Meta, Pinterest, TikTok, etc.) and Google Suite (Marketing Platform, Tag Manager, Analytics, Merchant Center)
Excellent project management skills
A university degree in a related field, and 7-10 years of experience in advertising, management consulting, marketing or digital consulting
Knowledge of agency-side execution processes

Responsibilities

Lead taxonomy strategy conversations across key stakeholders for break out of media reporting
Drive adoption of reporting automation across teams
Act as the subject matter expert for projects and processes relating to data quality
Gather reporting requirements for internal/external dashboard & reports
Facilitate communication and progression of tasks through regular status meetings and working sessions
Proactively elevate and resolve project roadblocks and issues
Manage project plans for internal/external reporting across internal teams
Assure timely follow through on all scheduled and ad hoc deliverables
Provide ongoing technical support for data ops processes and taxonomy recommendations
Ensure compliance of data quality standards
Lead, mentor and train junior level staff and offshore teams
Create, gather and write data-related standards and processes documents
Propose and generate targeted solutions on data quality issues and operational inefficiencies