Head of Data Product Strategy & Platforms

Attain

Chicago (IL)

On-site

USD 180,000 - 320,000

Full time

6 days ago
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Job summary

Attain seeks a VP of Data Product to own our data as a business—strategy, integrity, and product trajectory of data assets. You’ll oversee three interconnected families: telemetry data assets, marketing science feeds, and extrapolated data, partnering with data science to ensure defensible, revenue-driven outputs.

You’ll set strategy, lead the data product org, and translate market needs into licensed feeds and AI-enabled capabilities, while upholding privacy and vendor relationships.

Qualifications

  • 3+ years leading teams with a licensed data product and real revenue.
  • Fluent in marketing science and causal measurement.
  • Experience translating client needs into data products.
  • Ability to set priorities and review modeling approaches.
  • Comfort working with data scientists and senior leaders.

Responsibilities

  • Set the multi year data product portfolio across asset, marketing science, and extrapolated feeds.
  • Lead Data Product PMs and execution teams delivering feeds and QA.
  • Collaborate with data science to align modeling with business goals.
  • Productize marketing science signals and licensed feeds for clients.
  • Apply AI methods to advance prediction and scalability.
  • Champion privacy, permissions, and compliance across products.

Skills

Data product leadership
Marketing science
AI for data
Team management
Executive communication
Data licensing & revenue
Privacy & permissions
Ad tech / media analytics
Data governance
Stakeholder management

Tools

Snowflake
LiveRamp
Databricks

Job description

Attain seeks a VP of Data Product to own our data as a business—strategy, integrity, and product trajectory of data assets. You’ll oversee three interconnected families: telemetry data assets, marketing science feeds, and extrapolated data, partnering with data science to ensure defensible, revenue-driven outputs.

You’ll set strategy, lead the data product org, and translate market needs into licensed feeds and AI-enabled capabilities, while upholding privacy and vendor relationships.

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