VP of Data Product

The posting, as Attain wrote it

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.

About the Role

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

• Telemetry of Attain’s underlying data asset - technical management of our consumer permissioned transaction and survey data that powers our enterprise business. End-to-end product ownership of the pipeline from Ingestion → Transformation → Consumption in downstream data products.
• Marketing science feeds - our consumer permissioned transaction data, delivered at the merchant level and CPG product level (UPC/SKU, taxonomy), as the observed ground truth clients measure and activate against. Inclusive of derived data products built on rigorous marketing science: incrementality signals, purchase propensity and ad responsiveness scores (identifying consumers whose brand decisions are genuinely in play), brand switching and loyalty metrics.
• Extrapolated & predicted data - simulated datasets that project beyond the observed panel: population-level projections, panel-to-population weighting, forecasted behaviors, and predictive scores.

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.

What You'll Do

• 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 deliv

[…]
om workflows, and identity landscape.

• A track record of converting data assets into business outcomes: licensing revenue growth, client adoption.
• Executive level communication: equally credible presenting portfolio strategy to the SLT, methodology to a client's data science team, and priorities to engineering.
• Experience with consumer permissioned, panel, or purchase graph data and the privacy, consent, and compliance dimensions unique to it.
• Familiarity with retail media networks, CTV measurement, unified IDs, and walled garden constraints.
• Exposure to the classical marketing science canon (discrete choice, Dirichlet/NBD loyalty math, Markov switching, MMM/attribution) and modern causal ML with healthy skepticism about assumptions.
• Data licensing, pricing strategy, and clean room delivery experience (Snowflake, LiveRamp, Databricks, etc.).
• Ad tech startup or scale-up experience; comfort operating hands-on where needed.

How We'll Measure Success

• Data product revenue growth, adoption, and retention with expansion driven by trust in the data's quality and methodology.
• Documented, validated methodologies behind every derived and predicted field, able to withstand advertiser, agency, and academic scrutiny.
• A scaled, high-functioning data product org: reliable delivery through the execution team, a productive DS pod with an agenda tied to the roadmap, and clear career paths.
• Internal consolidation: fewer one-off extracts, more products built on canonical feeds, high internal customer satisfaction.
• External recognition of Attain's data as the credible standard for consumer permissioned purchase data.

We are excited to hear from you.

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail on the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.