Sr Director, Product Management - Data & AI

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!

POSITION SUMMARY:

The Sr. Director of Product Management for Data & AI is accountable for defining and driving the enterprise product strategy, roadmap, and value realization for data, analytics, and business intelligence capabilities across the retail organization.

This role owns the product vision and lifecycle for the company's core data and analytics platforms, including:

* Master Data Management (MDM):
Ensuring consistent, accurate, and governed data for foundational business entities such as products, stores, vendors, and customers.

* Enterprise Data Platform (EDP):
The centralized platform that ingests, integrates, and prepares enterprise data for analytics, reporting, and AI use cases.

* Customer Data Platform (CDP): A platform that unifies customer data across channels to enable customer insights, loyalty, personalization, and marketing activation.

The Sr. Director ensures these platforms and the analytics and reporting products built on top of them are aligned to business outcomes, delivering measurable impact across merchandising, supply chain, stores, e-commerce, finance, marketing, and customer experience.

This leader partners closely with Engineering, Enterprise Architecture, AI, and business leaders to translate strategy into scalable, high-quality solutions while balancing strategic vision with disciplined execution.

This role is also accountable for defining and driving the enterprise AI product strategy across data, analytics, and business platforms-ensuring AI capabilities are purpose-built, value-driven, responsibly governed, and scaled across the enterprise. This includes ownership of AI use case strategy, multi-year AI roadmaps, and continuous value realization in partnership with business, technology, and data science leaders.

Job Responsibilities:

1. Enterprise Data & Analytics Product Strategy

* Define and own the enterprise product vision, multi-year roadmap, and investment strategy for Data, Analytics & BI, aligned to enterprise priorities and retail growth objectives.

* Translate business strategies into clear data and analytics products, outcomes, and success metrics across MDM, EDP, CDP, analytics, and reporting.

* Partner with executive leadership to inform investment decisions, funding models, and roadmap sequencing based on value, capacity, and dependencies.

2. Product Ownership of Data Platforms & Analytics Capabilities

* Own the end-to-end product lifecycle for Master Data Management (MDM), the Enterprise Data Platform (EDP), and the Customer Data Platform (CDP).

* Work cross-functionally with Data Science, AI/ML, Enterprise Architecture, Infrastructure, Security, and Operations to transition AI solutions from experimentation to reliable, scalable, and supportable enterprise products.

* Prioritize capabilities that enable trusted data, self-service analytics, AI enablement, and operational insights.

* Lead build vs. buy decisions, vendor evaluations, and roadmap tradeoffs with a long-term value and total cost of ownership lens.

3. Enterprise AI Product Strategy & Value

* Define and own the enterprise AI product strategy across data, analytics, and business domains, aligned to enterprise priorities and platform capabilities.

* Develop and maintain a multi-year AI roadmap, balancing near-term value delivery with long-term platform and capability maturation.

* Continuously identify, assess, and shape AI opportunities across the business, translating operational pain points and processes into high-impact AI use cases.

* Partner with business leaders and domain Product Managers to deeply understand workflows, decisions, and constraints that could benefit from AI-driven automation, augmentation, or optimization.

* Establish clear AI value hypotheses, success metrics, and outcome tracking for each use case (e.g., productivity, cost savings, revenue lift, risk reduction).

4. Analytics, Reporting & Business Enablement

* Shape and prioritize analytics, reporting, and BI products that deliver actionable insights across merchandising, supply chain, stores, digital, finance, marketing, and customer experience.

* Own the enterprise BI strategy, including KPI frameworks, semantic models, dashboard standards, and self-service enablement.

* Drive adoption, trust, and usability across analytics and BI…