VP of Data Product

Attain, Chicago, IL +5

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.

What you need

Extensive experience across data products, marketing science, ad measurement, or media analytics, inclusive of 3+ years leading teams and at least one role where you owned a commercially licensed data product (feeds, scores, APIs, or datasets) with real revenue and SLAs.
Experience applying AI methods to data extrapolation or similar
Experience managing senior product leaders and technical execution functions you've led leaders, not just ICs.
Working fluency in marketing science and causal measurement: able to evaluate an incrementality methodology, spot selection bias or a broken baseline, and hold your own with PhD level scientists and skeptical client analysts. Hands on modeling history is a plus; scientific judgment is a must.
Experience directing data scientists: setting priorities, reviewing approaches, and making ship/no ship calls on modeled outputs.
Deep understanding of transaction level data products, merchant and UPC/SKU level structures, taxonomy and categorization, identity resolution and match rates, panel-to-population projection.
Fluency in how advertisers, agencies, and platforms use data: audience activation, measurement, planning, clean room 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.

VP of Data Product

The role

VP of Data Product

The role

What you will do

What you need

You'll own three interconnected product families

How We'll Measure Success

About Attain

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Interview questions

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