New York, New York, USA
107 days ago
Partnerships Manager, Data

The Partnerships Manager, Data will be the go-to expert in the data landscape and will consult with internal teams on data onboarding, platform integrations, testing framework, audience activation and audience insights. This highly motivated, detail-oriented individual should have experience working within one or more DMPs, extensive experience leveraging 3P audiences and the ability to translate audience strategies into higher level business needs. We are seeking someone with true desire to drive innovation and thought leadership through the use of data (internal solutions, 1P data, 3P data etc.)

Responsibilities

Support AdTheorent Data Solutions: AT Health https://adtheorenthealth.com/ and AT Predictive Audiences: https://adtheorent.com/solutions Manage day-to-day data provider relationships – understand core value prop and competitive differentiation Work on proposals for data solutions and execution on platform across multiple clients in various verticals (pharma, CPG, entertainment, retail etc.) Manage DMP segment intake process and platform permissions; facilitate onboarding of online and offline client data Work with AT’s Product and Tech teams on the implementation of any technical integrations for data providers / broader data licensing; UAT platform audience features and provide feedback and recommendations Responsible for the ongoing management, development, and growth of data/DMP partnerships post integration; maintain master taxonomy and rates across all partners Analyze and identify key insights and use those to drive internal knowledge sharing with cross functional teams; proactively identify opportunities to enhance audience/3P data effectiveness Communicate with data partners regarding platform updates, changes or limitations Provide thought leadership around partner selection – pros, cons and guidance on usage Work with Sales & Strategy on new/ ongoing client opportunities Share best practices and POVs with Partnerships Team, Sales, Yield, Product and Analytics teams Proactively seek opportunities to operationalize workflow and develop readily available segments/bundles to ease speed to market Collaborate on team write-ups and guides for new or updated processes, tools and platforms, learnings, and other materials
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