VP, Client Architect

Horizon Media•New York, NY

8d•$195,000 - $250,000•Hybrid

About The Position

Horizon Next is a leading marketing organization focused on data-driven strategies across people, data, and media. We provide strategic leadership to drive client growth through brand strategy, media planning, and analytics. Our goal is to continuously innovate and improve, ensuring tomorrow outperforms today. We foster an inclusive environment where diverse perspectives are valued, and employees feel welcomed, safe, and empowered. Our success is built on hiring talented individuals, challenging them, and providing opportunities for growth. Our blu. capabilities, built over four years, are powered by our Connected Marketing Platform. This platform's foundation is an Identity Framework, leveraging TransUnion's PII data. By integrating with data partners, we've attached over 14,000 attributes to bridge martech and adtech, creating a 360-degree consumer view for engaging customers across all journeys. Our solutions complement existing client tech, using proprietary insights tools for psychographic attributes and custom models to identify and assign propensity against audiences based on KPIs. We offer a central, user-friendly platform for insight to audience development and activation.

Requirements

BA/BS from accredited school required
9+ years’ experience with data and tech including using DMPs/CDPs, Addressable TV
Understanding of programmatic
Proven experience in audience development
Hands on experience using multiple data sources for activating including 1P data
Experience using AI and LLMs

Responsibilities

Act as a lead day-to-day contributor across all Horizon NEXT client teams, focusing on omni-audience development and measurement.
Coordinate with traders, activation teams, and Advanced Analytics for campaign implementation and measurement.
Serve as an expert in leveraging Horizon’s proprietary Connected Marketing Platform to enable data-driven marketing.
Partner directly with Business Solutions, Data Solutions and Insights, Marketing Sciences, and Media Technology and Data resources to ensure data is central to all activities.
Contribute to content and use cases for new business development.
Oversee 1P data onboarding, pixel set-up, and log level data passback in collaboration with Media Technology and Data and Operations teams.
Produce net new use cases and custom analysis for existing clients and new business pitches.
Assist in integrating clients’ martech stacks.
Explore and define seed audiences for audience strategy against business objectives and product using blu. and/or client 1P data.
Outline overarching audience frameworks for each client and product.
Assist in directing Marketing Scientists on queries needed for insight development and/or custom audiences.
Define correct models, dictate individual model inputs, and establish the framework of business rules for queries.
Review similarities and differences of attributes against audiences, uncover insights leading to high-value audiences, and prioritize audiences against KPIs.
Identify use cases for attitudinal data or custom survey work.
Partner with Business Solutions, Activation, and Analytics teams to align audience frameworks with measurement frameworks.
Consult on sizing seed audiences, look-alikes, and audience availability by partner in blu. to aid in budget planning.
Ensure screen and partner allocation align properly with audience frameworks based on communication goals.
Align with Business Solutions on how audience frameworks tie to messaging, landing pages, and owned experiences.
Work with platform activation teams to recommend 2nd party and platform data needed based on client objectives.
Consult on the final tactical media plan to ensure budgets, channels, partners, and tactics align with proper audience segments.
Define suppression and retargeting strategies using 1P and pixel data.
Serve as a point of escalation for issues relating to media partner distribution and platform matching.
Collaborate with traders and activation teams on campaign implementation and troubleshooting related to audience targeting.
Aid in the development, set-up, and implementation of any custom in-platform algorithms.
Partner with Business Solutions, Activation, Marketing Science, and Analytics on reporting insights and custom analytics needed to answer business and media performance questions.