VP of Data Product

VP Of Data Product

Chicago, IL;
New York, NY;
Redwood City, CA

About Attain

Built for consumers and companies, alike in a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees.

In exchange, they give permission to use their real-time data for research, insights and targeted advertising.

At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You'll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.

We're hiring a VP of Data Product to own our data as a business: the strategy, scientific integrity, and product trajectory of the underlying data asset and productionalizing feeds that external clients license and internal teams build on.

This role sits above our Data Products execution function, which runs day to day feed delivery, pipeline operations, validation, and vendor relationships. Your job is to decide what we build, why it wins, and what it's worth, and to ensure everything we ship is scientifically defensible.

You'll own three interconnected product families:

You partner with data science that builds the derived and predicted layers. You don't need to fit a doubly robust estimator, but you must be fluent enough in marketing and data science to collaborate on the pod's agenda, pressure test its methods, and make ship/no ship calls based on outputs.

• Set the data product strategy.
• Define the multi year portfolio roadmap across our underlying data asset, as well as our marketing science and extrapolated feeds.
• Lead the data product organization.
• Manage the Data Product PMs and the execution function responsible for feed delivery, pipeline architecture, QA, match tests, and vendor management, setting standards and unblocking.
• Consult with the data science pod to help set priorities.
• Translate client and market needs into a modeling agenda; translate model outputs into shippable, explainable data products. You are accountable for both scientific defensibility and working with your Strategy counterpart to ensure commercial delivery. Your decision making is rooted in data. You review data with objectivity to make decisions and go forward plans.
• Productize marketing science.
• Turn movable middle propensity scoring, incrementality measurement, Markov-based switching and retention metrics, and brand choice modeling into licensed feeds and scores clients can activate and measure with each with a methodology story a sophisticated client's data science team can interrogate.
• Apply AI models to our world class data asset.
• Use of AI and methods that can materially advance our ability to predict and scale our data.
• Treat internal teams as first class customers.
• Our measurement, insights, audience, and activation products are built on the underlying data asset.
• Champion privacy and…