Product Manager

About the Role

• A 3-month opportunity for a Product Manager to shape and deliver data products supporting stores planning initiatives.
• Remote role based in Minneapolis, MN.

Key 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, balancing business value, dependencies, risk, and delivery timelines.
• Build a strong understanding of the data to 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 clearly and timely to technical and non-technical audiences.

Requirements & Tech Stack

• 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.