Wayvia (formerly PriceSpider) Logo

Wayvia (formerly PriceSpider)

Senior Product Manager - Data and Analytics

Reposted 14 Days Ago
Easy Apply
Remote
Hiring Remotely in USA
130K-150K Annually
Senior level
Easy Apply
Remote
Hiring Remotely in USA
130K-150K Annually
Senior level
Own key components of data products, transforming data into actionable insights, collaborating with cross-functional teams, and managing product roadmaps for analytics offerings.
The summary above was generated by AI
 
Company Overview:
At Wayvia, we help the world’s top brands stay ahead—using AI, data, and innovation to shape the future of commerce. Whether you’re charting a new path or leveling up your journey, Wayvia is where your career can go further. We’d love to meet you.
 
We help global brands connect with their shoppers in ways that are relevant, respectful, and real. And we do the same for each other—with trust, transparency, and the human connection that makes great work possible.
 
At Wayvia, you’ll find a team that’s curious, collaborative, and always up for solving what’s next. We move fast, think boldly, and support one another in building something that matters—for our clients, for shoppers, and for each other. 

Job Brief:
  • The Senior Product Manager for Data & Analytics will own key components of Wayvia's data product ecosystem, driving the execution of customer-facing analytics and premium insights offerings. At our core, Wayvia is a data company that enables an intelligent path to purchase. In this role, you'll work closely with customers, data engineering, and cross-functional partners to transform data into actionable insights that drive business outcomes.
  • This hands-on product role requires deep customer empathy, analytical rigor, and the ability to bridge technical data capabilities with customer business needs.

Essential Functions & Responsibilities

Customer Discovery & Data Requirements

  • Conduct continuous customer to deeply understand pain points, business questions, and insights needs
  • Validate product assumptions through prototype reviews and customer feedback sessions
  • Assess current data assets and identify gaps: determine what additional data sources are needed to answer customer questions and unlock new insights
  • Collaborate with Partnerships team to evaluate potential data partners
  • Perform competitive analysis of analytics offerings in the e-commerce and retail intelligence space

Analytics Product Ownership

  • Own specific analytics product areas within Wayvia's portfolio and identify and launch new premium data offerings
  • Define and prioritize features for customer-facing analytics dashboards and reporting capabilities
  • Collaborate on data feeds, data sharing, and internal intelligence products
  • Support development of conversational analytics and AI-enhanced data accessibility features
  • Ensure analytics products focus on actionable business outcomes rather than vanity metrics

Data Quality & Product Excellence

  • Partner with Data Tech Lead and engineering to ensure data quality, consistency, and reliability across products
  • Identify and resolve data discrepancies across systems
  • Oversee functional quality of analytics products and customer-facing deliverables
  • Establish quality standards and validation processes for premium reports and and premium data offerings

Product Development & Delivery

  • Translate customer needs and data requirements into detailed user stories and acceptance criteria
  • Work with engineering and design teams to develop and test prototypes, establishing MVPs for new analytics capabilities
  • Manage product backlog and sprint planning for assigned product areas
  • Lead beta testing programs with customers for new features and reports
  • Analyze product usage and customer feedback to identify improvement opportunities

Roadmap & Stakeholder Collaboration

  • Develop and communicate product roadmap for your areas of ownership
  • Collaborate with Sales, CSMs, and internal stakeholders to understand requirements and ensure successful product adoption
  • Work closely with data and engineering teams to balance customer needs with technical feasibility
  • Support decisions about when to offer custom reports versus standardized premium SaaS reports
  • Track and communicate product performance metrics to stakeholders

Required Qualifications

  • 4+ years in product management, with at least 2 years focused on data analytics, business intelligence, or reporting products
  • Experience with B2B/enterprise SaaS, preferably in e-commerce, retail analytics, or martech
  • Strong understanding of analytics platforms and data visualization tools (Looker, Tableau, Power BI, or similar)
  • Proficiency in agile development practices and user story development
  • Analytical mindset with ability to derive insights from data and translate them into product requirements
  • Experience representing customer needs through personas, user stories, and product specifications
  • Ability to lead through influence and collaborate across technical and business teams

Benefits:
Wayvia encourages a healthy work-life balance and commitment to employee wellbeing. We are consistently evaluating areas to support and foster a community of engaged employees. Wayvia is an international employer so some benefits offering will vary from country to country, however, below you can see employer sponsored contributions:

  • Flexible work-from-home arrangements
  • 401K Match
  • Flexible vacation
  • Medical/Dental/Vision
  • 16 weeks of paid parental leave (US)
  • Technical stipend
  • Professional development programs
  • Wellness programs 

Location:
This is a remote position open to candidates based in the United States.


Compensation:
The salary for this role is $130,000-150,000. Please note that our salary ranges are based on current market data and the offered compensation may vary based on experience, skills, location, and other factors permitted by law.

 

Wayvia is an equal opportunity employer that is committed to inclusion and diversity. 

Top Skills

Business Intelligence
Data Analytics
Looker
Power BI
Reporting Products
Tableau

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