We’re looking for a Product Manager to help shape and deliver data products that support stores planning initiatives in a remote role based in Minneapolis, MN. This is a 3-month opportunity where you’ll partner across business, analytics, source-system, and data engineering teams to turn needs into clear requirements and drive delivery from discovery through adoption.

Responsibilities

Partner with business, reporting, analytics, and technology teams to understand challenges and define data needs. Translate business and analytical requirements into user stories, acceptance criteria, and prioritized deliverables. Own and maintain the product backlog while balancing business value, dependencies, risk, and delivery timelines. Build a strong understanding of the data to help validate requirements, troubleshoot issues, and confirm solutions meet user needs. Coordinate across source systems, data engineering, reporting, and product teams to manage cross-functional dependencies. Identify risks, blockers, and dependencies early and communicate impacts clearly to stakeholders and leadership. Support testing and validation efforts with engineers, analysts, and business users to ensure quality and usability. Help drive modernization and migration efforts to Google Cloud Platform, including transition of pipelines, datasets, and reporting capabilities. Communicate priorities, progress, decisions, and upcoming work in a clear and timely way to technical and non-technical audiences. Skills Hands-on experience with Agile or Scrum delivery practices. Background in data product management or a similar data-focused product role. Strong understanding of data analytics and data-driven decision-making. Experience working with data pipelines, ETL, or ELT processes. Ability to define data requirements and acceptance criteria with precision. Working knowledge of SQL for data validation and investigation. Experience managing priorities and collaborating across multiple stakeholder groups. Strong communication, organization, and problem-solving skills. Commitment to data quality, completeness, timeliness, and usability. Preferred Skills Experience with Google Cloud Platform and BigQuery. Familiarity with Looker or Power BI. Knowledge of metadata management concepts and practices. Experience supporting stores-related data or retail analytics. Comfort working in modernization or migration efforts. Ability to quickly learn complex business processes and translate them into actionable requirements. Horizontal is committed to fostering an inclusive workplace where diverse perspectives are valued and respected. We welcome applicants from all backgrounds and encourage candidates who are excited to contribute in an environment built on equity, collaboration, and belonging. By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex. Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $69 - $107 per hour based on qualifications and experience.