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About the Role
We are seeking a VP of Data Product to lead the strategy, scientific integrity, and product roadmap for our data asset and productionalized feeds. This role oversees the data product execution function and is responsible for deciding what data products to build, their market value, and ensuring scientific defensibility.
Responsibilities
- Set the data product strategy and define the multi-year portfolio roadmap.
- Lead the data product organization, managing Data Product PMs and the execution function.
- Consult with the data science pod to set priorities and translate client needs into a modeling agenda.
- Productize marketing science, developing licensed feeds and scores.
- Apply AI models to enhance data prediction and scaling capabilities.
- Treat internal teams as first-class customers for data product development.
- Champion privacy and permissioned data leadership in product development.
Requirements
- Extensive experience in data products, marketing science, ad measurement, or media analytics.
- 3+ years of experience leading teams.
- At least one role owning a commercially licensed data product with real revenue and SLAs.
- Experience applying AI methods to data extrapolation or similar.
- Experience managing senior product leaders and technical execution functions.
- Working fluency in marketing science and causal measurement.
- Experience directing data scientists, setting priorities, and making ship/no ship calls.
- Deep understanding of transaction-level data products, merchant and UPC/SKU level structures, taxonomy, identity resolution, and panel-to-population projection.
- Fluency in how advertisers, agencies, and platforms use data.
- Track record of converting data assets into business outcomes.
- Executive-level communication skills.
- Experience with consumer-permissioned, panel, or purchase graph data and associated privacy/compliance dimensions.
- Familiarity with retail media networks, CTV measurement, unified IDs, and walled garden constraints.
- Exposure to classical marketing science and modern causal ML.
- Data licensing, pricing strategy, and clean room delivery experience.
- Ad tech startup or scale-up experience.
- Comfort operating hands-on where needed.
Skills
- Data Products
- Marketing Science
- Ad Measurement
- Media Analytics
- Team Leadership
- Commercial Data Product Ownership
- AI Methods
- Data Extrapolation
- Product Leadership Management
- Technical Execution Management
- Marketing Science Fluency
- Causal Measurement Fluency
- Data Science Direction
- Transaction Data Products
- Identity Resolution
- Panel-to-Population Projection
- Audience Activation
- Measurement
- Planning
- Clean Room Workflows
- Identity Landscape
- Data Asset Monetization
- Executive Communication
- Privacy Compliance
- Retail Media Networks
- CTV Measurement
- Unified IDs
- Walled Garden Constraints
- Classical Marketing Science
- Causal ML
- Data Licensing
- Pricing Strategy
- Clean Room Delivery
- Ad Tech Startup Experience
Location
- Remote
Work Type
- Full-time
Experience Level
- Extensive experience
- 3+ years leading teams
- Senior level
About the Company
- Attain is building a platform that allows consumers to access savings tools, earned wages, and rewards without cost or hidden fees, in exchange for permission to use their data for research, insights, and targeted advertising.
- The company aims to empower consumers to leverage their data and create a more equitable and efficient data sharing ecosystem.
- Employees have the opportunity to work with hands-on leaders and mission-driven individuals.
Equal Opportunity
- 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.