Sr. Product Manager, Master Data Management

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! Just ask any of our over 27,000 associates who work at Five Below and they’ll tell you there’s no other place like it. It all starts with our purpose and then, The Five Below Way, which is our values and behaviors that each and every associate believes in.

It’s all about culture at Five Below, making this a place that can inspire you as much as you inspire us with big ideas, super energy, passion, and the ability to make the workplace a WOWplace!

Five Below is looking for a Senior Product Manager, Master Data Management to 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.

OWNERSHIP :

Product strategy and roadmap for the MDM platform, with emphasis on governance, workflow orchestration, attribute management, quality, lineage, and adoption

Product ownership for key master data domains, especially product, store, item, and location-related attributes and reference data used across merchandising, stores, supply chain, and analytics

Cross-functional operating model that defines how business, data, and engineering teams collaborate to create, maintain , approve, and consume master data.

Integration patterns that connect master data into upstream and downstream systems, reporting, and enterprise analytics workflows.

Change management and adoption plans that help teams embrace new workflows, standards, and tools across the organization.

Key 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

Qualifications:

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 required

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

Preferred Qualifications :

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

What Success Looks Like

In this role, success means building an MDM product capability that is trusted by the business, scalable for technology teams, and embedded in how the company operates . You will help create clear governance, durable workflows, and high-confidence master data products that improve consistency, speed, and decision-making across the enterprise.

Explore our benefits site to discover all the perks and support we offer! From health coverage to financial and personal wellness, we've got you covered—check it out today! benefits.fivebelow.com/public/welcome

Five Below is an Equal Opportunity Employer . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

Five Below is committed to working with and providing reasonable accommodations for individuals with disabilities . If you need a reasonable accommodation because of a disability for any part of the employment process, please submi