Group Product Manager – BI and Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the portfolio strategy and roadmap for Business Intelligence, reporting, analytics, decision support, and applied data science across Merchandising, Planning, Inventory, and Store Operations.

• Direct store operations intelligence initiatives for senior store vice presidents, field leaders, store managers, store captains, and operational teams.

• Spearhead merchandising and planning intelligence efforts for merchants, planners, buyers, inventory optimization teams, and seasonal or pre-season planning workflows.

• Collaborate with the Data Products GPM to link trusted domain data foundations to BI, analytics, decision support, and applied data science products.

• Identify opportunities for forecasting, optimization, recommendations, and model-enabled workflows to enhance decision-making.

• Convert ambiguous business requests into product challenges, measurable results, user workflows, prioritized roadmaps, and delivery plans.

• Revamp reporting through certified metrics, semantic-layer alignment, self-service analytics, and scalable insights products.

• Set up portfolio governance that encompasses intake, prioritization, roadmap reviews, dependency management, release planning, adoption planning, and post-launch value tracking.

• Mentor and develop in-house BI product managers as well as third-party PM resources.

• Evaluate business impact through decision quality, planning cycle time, forecast accuracy, inventory productivity, store execution, adoption, reduced manual effort, and operational ROI.

⛳️ Requirements

• Over 10 years of experience in product management, data product management, analytics product management, BI product leadership, data science product management, or similar technical product roles.

• Proven experience leading product portfolios in merchandising, retail, stores, supply chain, inventory, planning, marketplace, finance, or operation-heavy environments.

• Strong product leadership capabilities in BI, analytics, metrics, reporting modernization, semantic layers, data products, and/or applied machine learning.

• Demonstrated ability to navigate ambiguity within highly matrixed organizations involving senior business and technology stakeholders.

• Experience managing product managers, contractors, consultants, third-party PMs, or cross-functional delivery partners.

• Technical proficiency in data platforms, BI tools, analytics engineering, data governance, experimentation, forecasting, optimization, and machine learning-enabled decision systems.

• Excellent communication skills, with the ability to bridge the gap between executive business needs, user workflows, data constraints, technical tradeoffs, and delivery roadmaps.

• Bachelor’s degree in a relevant discipline is required.

• An advanced degree in business, computer science, engineering, analytics, data science, or a related field is preferred.

• Cameras must be turned on during all virtual interviews.

• Use of AI tools is not allowed during any part of the interview process.

• Job offers are contingent upon a satisfactory background check, which may include ID verification.

🏝️ Benefits

• Flexible compensation based on individual qualifications.

• Background check and ID verification as part of the offer process.