H
Not Specified Permanent

New York City, New York · USA job

VP, Client Architect

Horizon Media

New York City, New York

Job description

Overview

In this role you drive data-driven marketing across Horizon NEXT client teams, leveraging the blu. platform to enable audience development, measurement, and optimization. You will collaborate with cross-functional groups to align data, analytics, and activation, contributing to content and use cases for new business. The position sits at the intersection of data, technology, and media, with a focus on scalable, insight-led campaigns. You'll act as a bridge between data platforms and client outcomes, shaping how data informs strategy and performance.

Compensation / Benefits
  • Discretionary bonus
  • Health insurance
  • Life and disability insurance
  • Retirement savings plans
  • Unlimited paid time off
  • Mental health and wellness resources
Responsibilities
  • Master the blu. platform and data sources, including UI, Snowflake, and APIs, to enable data-driven marketing
  • Oversee 1P data onboarding, pixel setup, and log-level data passback with activation teams
  • Generate new use cases and custom analyses for clients and pitches
  • Assist in integrating client martech stacks
  • Define seed audiences, audience framework, and align with KPIs across client work
  • Coordinate with Data Solutions, Insights, and Marketing Sciences on audience strategy and model inputs
  • Guide queries, business rules, and attribute comparisons across audiences to identify high-value segments
  • Collaborate with activation teams on targeting, suppression, and 2nd-party data recommendations
  • Support reporting and analytics with cross-functional teams to answer business questions
Key requirements
  • BA/BS from accredited school
  • 9+ years of experience with data and tech including DMPs/CDPs and Addressable TV
  • Understanding of programmatic
  • Proven experience in audience development
  • Hands-on experience using multiple data sources for activation including 1P data
  • Experience using AI and LLMs
  • Analytical
  • Collaborative
  • Confident with internal stakeholders and clients
  • DMPs/CDPs
  • 1P data activation
  • Programmatic advertising

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