Job Description

Apply now: Data Product Manager, location is Remote. The start date is ASAP for this 6-month contract position.

Job Title: Data Product Manager
Location-Type: Remote
Start Date Is: ASAP
Duration: 6-month contract (potential extension)
Compensation Range: $50 - $65/hr W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship .

 

Job Description:
The client is seeking a Data Product Manager to own and scale reusable membership data capabilities supporting personalization, experimentation, analytics, and customer/member experience initiatives. This role sits at the intersection of Product, Analytics, Engineering, and Architecture and is responsible for translating business use cases into scalable data products and activation-ready capabilities.

Day-to-Day Responsibilities:

• Own and prioritize the member data product roadmap focused on personalization and experimentation
• Partner with Product, Analytics, Engineering, and Architecture teams to build scalable data capabilities
• Define reusable datasets, identity resolution frameworks, behavioral events, APIs, and feature generation capabilities
• Drive activation-ready data products instead of one-off reporting solutions
• Support rapid experimentation and operationalize successful pilots into scalable production capabilities
• Align teams on segmentation logic, targeting datasets, experimentation frameworks, and measurement standards
• Balance speed vs scalability while enabling fast delivery across evolving data ecosystems
• Create trusted, reusable, discoverable data assets that improve organizational delivery velocity
• Operate independently in a fast-moving, ambiguous environment with strong ownership and urgency

Requirements:

• Must-Haves:
  • Strong Data Product Management experience with ownership of outcomes
  • Experience building reusable data products tied to personalization, experimentation, customer/member experience, or activation
  • Ability to translate business and personalization use cases into scalable data capabilities
  • Strong partnership experience working directly with Data Engineering teams
  • Understanding of identity resolution, data models, feature datasets, APIs, behavioral events, and activation-ready datasets
  • Experience working within modern cloud data platforms and lakehouse ecosystems
  • Ability to balance short-term experimentation needs with long-term scalability and reuse
  • Strong execution mindset with the ability to prioritize effectively in ambiguous environments
  • Experience supporting retail, digital, loyalty, or customer-facing ecosystems
  • Excellent cross-functional communication and stakeholder alignment skills
• Nice-to-Haves:
  • Databricks or Lakehouse architecture experience
  • Experience supporting Member360 or Customer360 initiatives
  • Exposure to experimentation and measurement frameworks
  • Background supporting personalization or activation use cases at scale

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