Product Manager (Data Transformation)

About the role

A leading consumer products company is seeking an experienced Product Manager to support a high-visibility Product Lifecycle Management (PLM) Data Transformation initiative. This role will help improve product data quality, modernize product hierarchy structures, and establish a foundation for future digital and AI-enabled business capabilities. This is an excellent opportunity for someone who enjoys working in ambiguous environments, building new processes, and partnering with cross-functional stakeholders to drive meaningful business transformation.

Job Type & Location: Contract to Hire position based out of Seattle, WA.

Responsibilities

• Product Strategy & Planning: Partner with business stakeholders to identify challenges, opportunities, and future-state needs related to product data and lifecycle processes. Translate business objectives into actionable requirements, features, and priorities. Support product roadmap development and strategic planning. Evaluate business value, dependencies, and impacts across functional teams. Ensure initiatives align with long-term business objectives.
• Requirements Gathering & Discovery: Facilitate workshops and requirements gathering sessions with cross-functional teams. Document business requirements, workflows, use cases, and acceptance criteria. Analyze current-state processes and identify improvement opportunities. Create clear documentation supporting solution design and implementation efforts. Help prioritize work based on business value and strategic impact.
• Product Data Transformation: Support product data auditing, cleanup, restructuring, and governance initiatives. Improve data quality, consistency, and usability across systems. Assist in defining and implementing new product hierarchy structures and taxonomy models. Partner with stakeholders to evaluate existing data attributes and future-state requirements. Support implementation of enhanced product information management capabilities.
• Product Execution: Collaborate with program managers, business stakeholders, and technical teams to deliver initiatives. Participate in backlog refinement, prioritization, and sprint planning activities. Identify risks, dependencies, and opportunities throughout project execution. Support testing, validation, and user acceptance activities. Ensure delivered solutions meet business requirements and provide measurable value.
• Cross-Functional Collaboration: Build strong relationships across Product, Merchandising, Marketing, Data Governance, and Technology teams