Data Product Manager- Enterprise Data
Job Description
Wayfair is hiring a Data Product Manager for Enterprise Data to lead product work in an assigned data product area and build trusted, governed, reusable data products that support enterprise AI (Atlas).
Responsibilities
- Own intake and prioritization for your data product area, mapping user and stakeholder needs to business outcomes, team capacity, and delivery commitments.
- Define roadmaps for assigned data products and capabilities, including target users, value, requirements, user stories, and acceptance criteria.
- Partner with stakeholders across Talent, Finance, Legal/ePlats, Frontline, and Operations to understand business context, clarify data needs, and make prioritization trade-offs.
- Work with domain leads, data owners, and engineering teams to specify product requirements for data ownership, access, quality, reliability, and appropriate governance.
- Partner with Engineering Managers and team leads to plan delivery, sequence work, track OKR execution, manage cross-team dependencies, and resolve or escalate blockers.
- Communicate progress, decisions, trade-offs, and releases through clear updates, demos, and release communications.
- Define and measure product value and adoption using agreed outcomes, usage signals, data quality and availability signals, and user feedback; apply findings to improve the roadmap.
- Balance planned roadmap delivery with support, maintenance, and operational needs in partnership with engineering and domain stakeholders.
Requirements
- 5+ years of experience in product management, product ownership, analytics or data delivery, or technical program management in a technology environment, including end-to-end work from problem definition and prioritization through delivery and outcome measurement.
- Bachelor’s degree or equivalent combination of education, training, and experience.
- Ability to translate business needs into clear written requirements and acceptance criteria technical teams can build from.
- Strong prioritization and analytical skills, including the ability to assess business value, interpret product signals, and explain trade-offs.
- Experience collaborating across business and technical stakeholders, building alignment, and communicating clearly with partners at different levels.
- Familiarity with data products or data delivery concepts such as data domains, data quality, ownership, access, governance, or platform capabilities.
- Ability to organize work across dependencies and adapt priorities as business needs and delivery constraints evolve.
Preferred Qualifications
- Experience with data platforms, analytics, data warehousing, or SQL (specific vendor or technology experience not required).
About the Role
- Lead product work that helps build a trusted data foundation for Wayfair’s next-generation enterprise AI experience.
- Shape reusable data products that help teams find, understand, and use business information across Talent, Finance, Legal/ePlats, Frontline, and Operations.
- Support Atlas, Wayfair’s employee-facing AI experience, by making underlying data reliable, well-defined, and governed.
Location and Compensation
- Location: Boston, MA (onsite)
- Salary: USD 143,000 - 154,000 per year