VP, Client Architect

Horizon Media•New York, NY

7d•Hybrid

About The Position

Horizon Next is a leading marketing organization focused on data-driven strategies across people, data, and media. We aim to accelerate client growth through brand strategy, media planning, and analytics. We are committed to innovation and continuous improvement, always looking for the next breakthrough. Horizon Next values diverse perspectives and fosters an inclusive environment where employees feel welcomed, safe, and empowered. Our success is built on hiring talented individuals, challenging them, and providing opportunities for growth. We have developed our blu. capabilities over the last four years, powered by our Connected Marketing Platform. This platform utilizes an Identity Framework with TransUnion's PII data as its core, integrating with data partners to create a comprehensive 360-degree consumer view. This enables brands to engage customers across all journeys. Our solutions complement existing client technology, offering proprietary insights tools, custom models, and a central platform for insight development, audience creation, and activation.

Requirements

BA/BS from an accredited school required
9+ years of experience with data and technology, including using DMPs/CDPs and Addressable TV
Understanding of programmatic advertising
Proven experience in audience development
Hands-on experience using multiple data sources for activation, 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 for 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.
Understand the blu. platform, including its data sources, dictionaries, taxonomy, refresh cadence, and access methods (UI, Snowflake, APIs).
Oversee 1P data onboarding, pixel setup, and log-level data passback with Media Technology and Data and Operations teams.
Produce new use cases and custom analyses 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 products using blu. and/or client 1P data.
Outline overarching audience frameworks for each client and product.
Assist in directing Marketing Scientists on queries for insight development and custom audiences.
Define model frameworks, dictate individual model inputs, and establish business rules for queries.
Review similarities and differences of attributes against audiences to uncover insights leading to high-value audiences.
Prioritize audiences against KPIs.
Identify use cases for attitudinal data or custom survey work.
Align audience frameworks with measurement frameworks in collaboration with Business Solutions, Activation, and Analytics teams.
Consult on sizing seed audiences, look-alikes, and audience availability by partner in blu. for budget planning.
Ensure screen and partner allocation align with audience frameworks based on communication goals.
Align with Business Solutions on how audience frameworks tie to messaging, landing pages, and owned experiences.
Collaborate with platform activation teams to recommend 2nd party and platform data based on client objectives.
Consult on final tactical media plans to ensure budgets, channels, partners, and tactics align with audience segments.
Define suppression and retargeting strategies using 1P and pixel data.
Serve as a point of escalation for issues related 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, setup, and implementation of custom in-platform algorithms.
Partner with Business Solutions, Activation, Marketing Science, and Analytics on reporting insights and custom analytics to address business and media performance questions.