Director, Client Architects

Horizon Media•New York, NY

1d•$145,000 - $185,000•Hybrid

About The Position

Horizon Media, founded in 1989, is a marketing and advertising firm headquartered in New York City with offices in Los Angeles and Toronto. It is known for its innovative approach to client service and its strong company culture, consistently appearing on 'Best Places to Work' lists. Horizon emphasizes creating an inclusive environment where employees feel welcomed, safe, and empowered, valuing diverse perspectives. The company focuses on hiring talented individuals, challenging them, and providing opportunities for growth. A key initiative is blu, a Connected Marketing Platform built over three years, featuring an Identity Framework based on TransUnion's PII data and integrated with agency partners' data assets. This platform aims to provide a 360-degree consumer view, enabling brands to engage customers across all journeys. Proprietary tools enhance profiles with psychographic attributes, and custom models identify and assign propensity against audiences based on KPIs, all within a central, user-friendly platform for insight development, audience development, and activation.

Requirements

7+ years’ experience with data and tech, including using DMPs/CDPs and Addressable TV.
Understanding of programmatic.
Proven experience in audience development.
Hands-on experience using multiple data sources for activation.

Responsibilities

Act as a day-to-day contributor on specific client teams, focusing on omni-audience development and coordination with Traders and Traditional Activation teams for campaign implementation and measurement.
Leverage Horizon’s proprietary Connected Marketing Platform, blu., to enable data-driven marketing.
Partner directly with Data Scientists on client accounts.
Be embedded within the Business Solutions team and assigned to a specific pod of accounts, reporting directly to a VP, Data Solutions.
Contribute to content and use cases for new business.
Understand the blu. platform, including data sources, dictionaries, taxonomy, refresh cadence, and access methods (UI, Snowflake, APIs).
Develop use cases for clients.
Explore and define seed audiences for audience strategy against business objectives using blu. and/or client 1P data.
Direct Data Scientists on queries needed for insight development and custom audiences.
Define correct models, dictate individual model inputs, and establish frameworks of business rules for queries.
Review similarities and differences of attributes against audiences and uncover insights leading to high-value audiences.
Prioritize audiences against KPIs and identify use cases for attitudinal data or custom survey work.
Provide input to the Analytics team on KPI construction.
Size seed audiences, look-alikes, and audience availability by partner in blu.
Build screen and partner allocation based on objectives and audience deliveries, considering communication goals.
Develop audience architecture by product, KPI, messages, and landing pages.
Coordinate with client CRM teams or other buying teams on audiences and messages.
Work with platform activation teams to recommend 2nd party and platform data based on client objectives.
Finalize audience architecture, avails, and budgets.
Define frequency goals with Digital and Traditional Activation teams.
Work with activation teams on the mix between video, display, and other vehicles.
Distribute to media partners and internal HMI buy platforms, setting up new partners for distribution and return path data.
Work directly with Traders and Traditional Activation teams on campaign implementation and troubleshooting.
Identify new audience optimizations based on campaign performance data in collaboration with VP and Data Scientist.
Collaborate with client CRM/Email teams on audience development and optimization.
Partner with analytics on reporting insights.