Director, Client Architects

Horizon Media•New York, NY

1d•$150,000 - $170,000•Hybrid

About The Position

The Director, Data Solutions acts 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. The Director, Data Solutions is an expert in leveraging Horizon’s proprietary Connected Marketing Platform called blu. to enable data-driven marketing and partners directly with Data Scientists on the accounts. This role will be embedded within the Business Solutions team and assigned to a specific pod of accounts and report directly to a VP, Data Solutions. In addition to client work, this role will be expected to be a contributor to content and use cases for new business.

Requirements

Analytical, inquisitive, Collaborative, Confident with internal stakeholders and clients
7+ years’ experience with data and tech including using DMPs/CDPs, Addressable TV
Understanding of programmatic
Proven experience in audience development in an agency, adtech, or consulting environment.
Hands on experience using multiple data sources for activating
Experience making strategic recommendations to clients based on insights gathered from 1P and 3P data.

Responsibilities

Understanding Data Driven Marketing at Horizon: Comprehensive understanding of how the blu. platform works and can be used. This includes understanding all blu. data sources, data dictionaries, taxonomy, refresh cadence, how and where data can be accessed (UI, Snowflake, APIs). Ability to come up with use cases for clients on the spot.
Insights & Planning: Explore and defines seed audiences for audience strategy against business objectives by product using blu. and or client 1P data. Directs Data Scientists on queries needed for insight development and or custom audiences (with oversight from VP+). Define correct model. Dictate individual model inputs. Framework of business rules for query. Review similarities and differences of attributes against audiences. Uncover insights that lead to high value audiences through output investigation. Prioritize audiences against KPIs. Identifies use cases for usage of attitudinal data or custom survey work. Provides input to Analytics team on KPI construct. Size seed audiences, look alikes and availability of audiences by partner in blu. Based on comms goals, build screen & partner allocation based on objectives and audience deliveries. Builds out audience architecture by product and KPI and against messages and landing pages. Coordinates with client CRM team or other buying teams internally or externally on audiences and messages. Works with platform activation teams who help recommend 2nd party and platform data that is needed based on client objectives.
Activation & Optimization: Finalizes audience architecture, avails, budgets. Defines frequency goals with Digital and Traditional Activation teams. Works with activation teams on mix between video, display, other vehicles. Distributes to media partners and internal HMI buy platforms. Set up any new partners for distribution and return path data. Works directly with Traders and Traditional Activation teams on campaign implementation and troubleshooting. Partners with VP and Data Scientist to identify new audience optimizations based on campaign performance data. Collaborates with client CRM/Email teams on audience development and optimization. Partners with analytics on reporting insights.