Data Product Manager- Enterprise Data

Who We Are 

Help build the trusted data foundation behind Wayfair’s next-generation enterprise AI experience. As a Data Product Manager in Enterprise Tech, you’ll shape reusable data products that make business information easier for teams to find, understand, and use across Talent, Finance, Legal/ePlats, Frontline, and Operations. Your work will help power Atlas—Wayfair’s employee-facing AI experience for getting trusted answers and moving from questions to informed action—by making the underlying data reliable, well-defined, and governed.

As a Data Product Manager, you will lead product work for an assigned data product area, representing internal users and business stakeholders from problem definition and prioritization through delivery and outcome measurement. You’ll partner with Engineering Managers, team leads, domain leads, data owners, and engineers to turn business needs into a prioritized roadmap and trusted, usable data products—and to make progress, trade-offs, and outcomes clear to stakeholders.

What You'll Do

• Own intake and prioritization for your product area, connecting user and stakeholder needs to business outcomes, team capacity, and delivery commitments.

• Define the roadmap, target users, value, requirements, user stories, and acceptance criteria for assigned data products and capabilities.

• 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 define 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, data quality and availability signals, and user feedback; use findings to improve the roadmap.

• Balance planned roadmap work with support, maintenance, and operational needs in partnership with engineering and domain stakeholders.

What Are A Match Because You Have:

• 5+ years of experience in product management, product ownership, analytics or data delivery, or technical program management in a technology environment, including taking cross-functional 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 that 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 working 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 is not required.