Product Manager – Retail Merchandising, Data & AI

About the Job

Role: Product Manager – Retail Merchandising, Data & AI

Location: Marlborough, MA

Employment Type: Contract

Duration: 6+ Months

About the Role

We are seeking an experienced Product Manager to lead AI, data, and data product initiatives supporting retail merchandising. This role will focus on translating business needs into scalable data and AI solutions that improve merchandising decisions, operational efficiency, and productivity.

The ideal candidate will bring strong retail merchandising knowledge, hands-on product management experience, and a solid understanding of AI, data products, and enterprise data platforms.

Key Responsibilities

• Own product strategy, roadmaps, and backlogs for AI, data, and data products supporting merchandising.
• Partner with merchandising teams to identify opportunities across category management, assortment planning, pricing and promotions, vendor management, and inventory.
• Define and deliver trusted, reusable, and governed data products for analytics, AI applications, and business decision-making.
• Translate business requirements into product specifications, AI use cases, user stories, and measurable outcomes.
• Collaborate with business stakeholders, data scientists, AI specialists, engineering, and technology teams to deliver product solutions.
• Drive product initiatives from concept through development, launch, adoption, and value realization.
• Support data quality, governance, metadata management, APIs, semantic models, and enterprise data platform capabilities.

Required Qualifications

• 5+ years of Product Management experience, including experience in retail, merchandising, and AI.
• Strong understanding of retail merchandising processes, including category management, assortment, pricing and promotions, planning, vendor management, and inventory.
• Experience owning product strategy, roadmaps, and backlogs for AI, data, and data products.
• Experience defining and managing governed data products, including data quality, metadata, APIs, semantic models, and enterprise data platforms.
• Ability to translate business needs into product requirements, AI use cases, user stories, and measurable business outcomes.
• Working knowledge of AI/ML, Generative AI, advanced analytics, cloud data platforms, and automation.
• Strong communication and cross-functional collaboration skills across business, data, AI, engineering, and technology teams.

Compensation

• Estimated pay rate: $85/hour (W-2).
• Final rate will depend on skills, experience, and interview results.