Lead Product Manager (PIM)

Product Information Management Specialist

Support and drive Product Information Management (PIM) initiatives with a focus on product data readiness, migration planning, and process alignment. Define, document, and manage product data requirements, including attributes, taxonomy, hierarchy, and lifecycle dependencies. Assess current-state product data for completeness, consistency, quality, and migration readiness. Partner with Engineering, Data, and Integration teams to document data mappings, business rules, transformations, and validation logic. Translate business needs into clear user stories, functional requirements, and acceptance criteria. Support data cleanup, standardization, and governance activities required for successful PIM implementation. Coordinate testing, issue triage, migration preparation, and rollout activities across stakeholders. Track milestones, dependencies, risks, and open issues across the PIM workstream. Contribute to status reporting on migration readiness, issue resolution, and business adoption. Drive end-to-end execution in collaboration with implementation partners, technology teams, and brand stakeholders.

Strong product data and systems mindset, with focus on structure, quality, and usability. Ownership of end-to-end PIM data readiness and migration delivery. Ability to work cross-functionally with business, engineering, data, and vendor teams. Clear communication and stakeholder alignment across technical and non-technical audiences. Strong decision-making in process, prioritization, and data design trade-offs. Comfort navigating ambiguity, evolving requirements, and phased implementations. Enterprise focus on data quality, consistency, governance, and scalability.

8+ years of experience in Product Management, Business Analysis, or PIM / Enterprise Systems roles. Hands-on experience supporting PIM implementations, data migrations, or large-scale product data initiatives. Deep understanding of product data domains, including attributes, taxonomy, hierarchy, and enrichment workflows. Experience translating business needs into requirements, user stories, and acceptance criteria. Proven ability to partner with Engineering, Data, Integration, and external implementation teams. Experience assessing and improving data quality, standardization, and readiness. Familiarity with enterprise data governance, validation, and quality frameworks. Experience supporting UAT, migration planning, rollout, and post-launch stabilization. Strong organizational skills with experience managing dependencies, risks, and delivery timelines. Experience working in Agile delivery environments, using tools such as Jira and Confluence. Analytical, detail-oriented, and execution-focused approach.

Bachelor's degree in Business, Information Systems, Computer Science, or a related field (required).