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The Trade Desk

Director, Data Partnerships (Measurement & MMM Focus)

The Trade Desk, Los Angeles, California, United States, 90079


The Trade Desk is changing the way global brands and their agencies advertise to audiences around the world. How? With a media buying platform that helps brands deliver a more insightful and relevant ad experience for consumers –– and sets a new standard for global reach, accuracy, and transparency. We are proud of the culture we have built. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

So, if you are talented, driven, creative, and eager to join a dynamic, globally-connected team, then we want to talk!

What we do:We build, drive and grow world-class strategic partnerships and product integrations with Measurement Partners to showcase TTD’s impact and ROI. We lead executive-level partner management & relationship building to influence and collaborate with our Measurement Partners to land the ideal solutions and methodology.

We lead end-to-end Measurement partnerships and products from strategic vision to execution. We deliver by leading and facilitating cross-functional collaboration across the internal executive team, product and lastly, act as a key resource and subject matter expert for our Internal Sales and CS teams as well our clients directly.

What you’ll do:As the Data Partnerships Director on the Measurement Pod, you will play a key role in building, managing and developing best-in-class Measurement solutions and partnerships to showcase the results and impact of TTD’s advertising. The role will be specialized in leading and developing our Global MMM (Media Mix Modeling) program at TTD.

Manage and build deep, executive-level relationships with top MMM providers in the space with the ability to collaborate with vendors on best practices for Programmatic media.

Launch, design and build a scalable Global MMM approach and program with key stakeholders across Product, Data Science & Client Leadership.

Build product and company vision for key Measurement areas.

Support and design thought leadership opportunities to showcase advancements in MMM and TTD’s approach.

Perform industry research and analysis; remain abreast of trends and partner product/segment enhancements and educate internal teams on the need-to-know with webinars, client support, and training documentation.

Evangelize and act as a key Measurement resource and SME to help account and sales teams showcase the value of our Measurement partnerships and solutions to their clients.

Drive an optimal relationship structure for partnerships deals, inclusive of new partners, with cross-functional excellence across Legal, Finance, Marketing etc. while assuring regulatory and contractual compliance.

Who you are:The ideal candidate has worked within an agency, advertiser and/or Measurement Partner/Vendor and has these core experience characteristics:

Proven strategic thought leader and executor who understands the Programmatic and Measurement landscape with 10 years + of experience.

Deep familiarity and expertise with Third-Party Measurement vendors and solutions, ranging from Reach, Attribution, Lift to MMM.

Inhibit high technical and analytics aptitude to enable relationship building with appropriate stakeholders in areas ranging from business to data science on the client and vendor side.

Ability to convey core concepts and connect stakeholders at a macro and micro level to influence and navigate technical integration and procedural contracting and negotiation processes across different types of teams such as Product, Engineering, Legal, Finance.

Thrive in a fast-paced environment, are a creative problem-solver, communicate effectively and are adept at building executive-level internal and external relationships.

Exhibit high emotional intelligence and integrity and build deep consultative partnerships with your business stakeholders.

Manage initiatives in complex matrixed environments and make actionable decisions in the absence of perfect information.

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