Data Product Manager
Westborough, MA, 01581
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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