Sr. Product Manager, Master Data Management

Five Below•Philadelphia, PA

About The Position

At Five Below, our growth is a result of the people who embrace our purpose: We know life is way better when you are free to Let Go & Have Fun in an amazing experience, filled with unlimited possibilities, priced so low, you can always say yes to the newest, coolest stuff! This role will lead the strategy, roadmap, and execution of a modern MDM platform that improves how core enterprise data is defined, governed, managed, and adopted across the business. This role will focus first on MDM platform capabilities, governance, workflows, and organizational adoption, with priority ownership across product attributes, store attributes, and the core data domains that support merchandising, stores, and enterprise operations. This leader will operate at the intersection of business process, data, and technology. They will partner closely with merchandising, stores, supply chain, finance, data, engineering, and architecture teams to create scalable source-of-truth data products, establish strong stewardship and governance models, and ensure master data is trusted, traceable, and usable across enterprise systems and analytics. It is an opportunity to work at one of the world’s fastest growing value retailers while helping define and build a best-in-class, quality-driven data platform.

Requirements

8+ years of product management experience, with significant experience in data products, platforms, or enterprise systems
Strong experience writing epics, user stories, and managing Agile backlogs in close partnership with software engineering teams
Experience owning or contributing to master data management, data governance, PIM, ERP, merchandising systems, product onboarding, or related data platforms
Strong understanding of master data concepts such as golden records, stewardship, lineage, survivorship, workflow, auditability, and lifecycle management
Experience in a role that blends technical product management, Agile software delivery, and domain expertise in product data management
Demonstrated ability to lead both strategy and execution in complex cross-functional environments
Ability to work fluently with business stakeholders, engineers, architects, and data teams
Experience building process-heavy products where user adoption, change management, and governance are as important as technical delivery
3+ years of experience working with relational databases, with the ability to write basic SQL
Experience with Databricks, Unity Catalog, and data governance capabilities in modern lakehouse environments
Strong analytical and systems thinking, with the ability to connect business outcomes to data models, workflows, platform design, and integration patterns
Excellent communication and stakeholder management skills, including experience aligning senior leaders around priorities and tradeoffs

Nice To Haves

Experience in retail, merchandising, supply chain, store operations, or omnichannel commerce
Experience with product, item, assortment, location, or store data domains
Familiarity with enterprise data platforms, APIs, workflow tools, and modern analytics ecosystems
Experience supporting data products used by both operational teams and analytics and reporting consumers
Comfortable using AI tools to accelerate work, with sound judgment and a responsible approach to quality, governance, and risk
Comfort working in environments that are building new operating models while modernizing underlying platforms and processes

Responsibilities

Define and drive the product vision, strategy, and roadmap for master data management in partnership with business and technology leaders
Lead product discovery, requirements gathering, prioritization, and release planning for MDM platform capabilities and related enterprise data initiatives
Build, maintain, and prioritize Agile backlogs; write clear epics and user stories; and partner with engineering teams to deliver high-quality outcomes predictably
Lead the design of scalable workflows for managing core attributes and master records across product, store, item, and location domains
Establish clear operating models, decision rights, ownership structures, and RACI alignment across stakeholders
Lead discussions around platform enhancements, system integrations, APIs, and data workflows to support long-term scale and interoperability
Partner with engineering and architecture to define the right platform, data model, governance model, and technical approach for long-term scale
Drive the creation of trusted, reusable master data assets that improve consistency across planning, allocation, POS, supply chain, finance, HR, and eCommerce systems
Support enterprise-scale initiatives related to MDM, product onboarding, and data distribution across operational and analytical ecosystems
Ensure master data products support enterprise reporting and analytics through consistent dimensional definitions, attribute history, and controlled source-of-truth views across time, location, and item domains
Partner with business teams to define stewardship processes, data standards, update frequency, and governance expectations for key attributes
Lead adoption efforts by socializing the vision, coaching teams into new ways of working, and ensuring the platform is embedded in day-to-day processes
Define KPIs, OKRs, and success metrics to measure product impact, operational effectiveness, adoption, and data quality improvements