Advertising Data Operations Manager

Condé Nast•New York, NY

8d•$96,000 - $113,000

About The Position

Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfolio includes many of the world’s most respected and influential media properties including Vogue, Vanity Fair, Glamour, Self, GQ, The New Yorker, Condé Nast Traveler/Traveller, Allure, AD, Bon Appétit and Wired, among others. Job Description Location: New York, NY Advertising Data Operations Manager Title: Advertising Data Operations Manager Team: Commercial Data Direct Reports: 0 The Advertising Data Operations Manager is a key member of Condé Nast’s Commercial Data team within the Advertising organization.The Advertising Data Operations Manager will lead our audience segmentation and campaign activation strategy for Condé Nast’s industry verticals. This position is also responsible for managing technical implementations and optimizations of the DMP to execute cross-channel consumer, direct sold and programmatic campaigns. You will consult with sales and account management to identify optimal audience targeting strategies that align with brand KPIs using Condé Nast’s 1st, 2nd, and 3rd party data. Familiarity with MarTech/AdTech platforms are preferred, and hands-on experience with a major DMP/CDP such as Permutive, Lotame, Adobe Audience Manager, or Oracle BlueKai is required.

Requirements

3-5 years experience working with a Data Management Platform (Permutive, Lotame, Adobe Audience Manager, Oracle BlueKai, etc.), with a focus on segment strategy and cross-channel data coordination
Experience working in digital media analytics/planning/operations role
Deep familiarity with 3rd party data providers (i.e. Dun & Bradstreet, Epsilon, Nielsen, Acxiom, etc.)
Experience with ad serving, web analytics, personalization tools and/or platform technologies (GAM, Optimizely, Google Analytics, Meta, etc.)
Understanding of Real-Time-Bidding and the Programmatic media landscape
Understanding of Google Ad Manager reporting tools, inventory management, and campaign structure
Excellent communication skills and the ability to self-prioritize tasks
Ability to multi-task, work under deadlines and within a rapidly changing environment
Energy and passion for the Condé Nast brands

Responsibilities

As a key member of Data Solutions, build and evolve the digital audience segmentation practice.
Work with brand leads in Sales, Data Product Strategy, and Consumer Marketing to understand audience needs and build these insights into measurable segmentation.
Help with the onboarding of first and second party data, and the curation and delivery of segment data within the Data Management Platform (DMP) to ensure accurate and consistent data delivery to various channels (Desktop and Mobile Site & Apps, On and Offsite Display. SEM, Social, Email, etc).
Build upon 1st party data from internal data sources and couple with 2nd and 3rd party data to design audiences that map to the segment to respond to media plans/RFPs.
Oversee segment modeling within the DMP to ensure data source reliability, conduct scoring optimizations, and resolve segment scaling issues
Work with segment stakeholders (Planning/Operations, Sales, and Programmatic Leads) to gather goals, success metrics and size/prioritize segment creation to meet campaign KPIs
Coordinate with Consumer Marketing and Audience Development teams to develop brand insights and actionable metrics that help drive acquisition and enhance customer lifetime value
Help with testing engagements through the full campaign lifecycle from test conception, through launch, to results analysis and rollout.
Assist in cross-functional execution of optimization activities by working collaboratively with the Advertising, Operations, Inventory Management, and Consumer Marketing teams.
Monitor campaign performance to troubleshoot, resolve and/or escalate potential data/measurement issues.
Keep up with market, consumer trends, and competition and provide recommendations for testing into new and emerging technologies, vendors and trends