Requirements
- 7+ years in product management with 4+ years focused on supply chain or data products
- Proven track record building data solutions at enterprise scale
- Experience partnering with and presenting to SVP/Director-level stakeholders across technology and business teams
- Domain Expertise: Experience with supply chain data platforms or operational data ecosystems supporting warehousing, labor, inventory, and transportation
- Deep understanding of supply chain data modeling and data governance
- Knowledge of cloud data architectures and warehouses (Snowflake, BigQuery, Databricks) used to enable scalable analytics, reporting, and decision making
- Strong technical fluency: ability to discuss APIs, data architecture, ETL/ELT processes, and system integration with engineering teams
- SQL proficiency and experience with BI tools (Cognos, Looker, Power BI, or similar)
- Familiarity with Agile/Scrum methodologies and product management tools (Jira, Confluence, Aha!, Product Board, Miro)
- Expertise defining and tracking product KPIs/OKRs that tie to business outcomes
- Strong ability to translate complex technical concepts into executive-ready narratives and business value propositions
- Experience writing user stories, managing backlogs, and leading sprint planning
Nice to Have
- Experience with supply chain technology products, with Manhattan strongly preferred
- Deep understanding of retail distribution and DC operations
- Strong ability to lead, facilitate, and align technology, business, and operations partners
- Strong data acumen, with the ability to interpret and apply insights to operational decisions
- Proven problem solving skills, demonstrating creative and pragmatic approaches to complex challenges
Additional Information
- Cameras must be on during all virtual interviews.
- AI tools are not permitted to be used by the candidate during any part of the interview process.
- Offers are contingent upon a satisfactory background check which may include ID verification.
