# VP of Data Product

**Company:** [Attain](https://hotfix.jobs/companies/attain)
**Location:** Chicago, IL, New York, NY, Redwood City, CA
**Role:** Product Management
**Experience:** 8+ years
**Skills:** Data Products, Marketing Science, Causal Measurement, Artificial Intelligence, Data Extrapolation, Transaction Data, Identity Resolution, Clean Rooms, Snowflake, Liveramp, Databricks, Retail Media, Ctv Measurement, Unified Ids, Machine Learning
**Posted:** 2026-08-28

> Leads the strategy, commercialization, scientific integrity, and organizational execution of Attain’s permissioned consumer data products. The role requires executive data-product leadership, marketing science and causal-measurement fluency, AI experience, and ownership of commercially licensed feeds or datasets.

## Job Description

## Responsibilities
- Define the multi-year portfolio roadmap for Attain’s underlying data asset, marketing science feeds, and extrapolated and predicted data products.
- Lead Data Product PMs and the execution function responsible for feed delivery, pipeline architecture, QA, match tests, and vendor management.
- Partner with data science to translate client and market needs into modeling priorities and convert model outputs into shippable, explainable data products.
- Own productization of incrementality signals, propensity and ad responsiveness scores, brand switching and loyalty metrics, and brand choice models into licensed feeds and scores.
- Apply AI methods to data extrapolation, prediction, and scaling.
- Serve internal measurement, insights, audience, and activation teams as product customers.
- Champion privacy, consumer permissions, consent, and regulatory compliance.
- Drive data licensing, pricing strategy, client adoption, revenue growth, retention, and expansion.

## Requirements
- Extensive experience in data products, marketing science, ad measurement, or media analytics.
- At least 3 years leading teams, including experience managing senior product leaders and technical execution functions.
- Experience owning a commercially licensed data product such as feeds, scores, APIs, or datasets with revenue and SLAs.
- Experience applying AI methods to data extrapolation or similar problems.
- Working fluency in marketing science and causal measurement, including incrementality, selection bias, and baseline evaluation.
- Experience directing data scientists and evaluating modeled outputs.
- Deep understanding of transaction-level data products, merchant and UPC/SKU structures, taxonomy, identity resolution, match rates, and panel-to-population projection.
- Understanding of audience activation, measurement, planning, clean room workflows, and the identity landscape.
- Track record converting data assets into licensing revenue and business outcomes.
- Executive-level communication skills across leadership, client data science, and engineering audiences.
- Experience with consumer-permissioned, panel, or purchase graph data and related privacy and compliance requirements.
- Familiarity with retail media networks, CTV measurement, unified IDs, and walled-garden constraints.
- Exposure to discrete choice, Dirichlet/NBD loyalty modeling, Markov switching, MMM, attribution, and causal machine learning.
- Experience with data licensing, pricing, and clean room delivery platforms such as Snowflake, LiveRamp, or Databricks.
- Ad tech startup or scale-up experience.

## Nice-to-haves
- Hands-on modeling experience.
- Experience working with PhD-level scientists and sophisticated client data science teams.
- Experience productizing methodology-driven marketing science outputs.

## Success Measures
- Growth in data product revenue, adoption, and retention.
- Validated methodologies for derived and predicted fields that withstand advertiser, agency, and academic scrutiny.
- A scaled data product organization with reliable delivery and a roadmap-aligned data science function.
- Increased use of canonical feeds and improved internal customer satisfaction.
- Recognition of Attain’s data as a credible standard for consumer-permissioned purchase data.

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