Enterprise Data & Analytics Product Owner

Family Dollar is hiring an Enterprise Data & Analytics Product Owner to help shape an enterprise data product strategy and deliver analytics solutions used across the organization. This onsite role in Chesapeake, VA partners closely with business and technical teams to define requirements, manage delivery, and drive data product adoption. The position offers $91,000 to $113,500 per year and is a great fit for a product-minded analytics leader who enjoys turning complex needs into clear, actionable outcomes.

What you’ll do

• Partner with the Director to develop and execute the enterprise data product strategy.
• Collaborate with Business and Executive teams to develop clear data product requirements across business domains.
• Build and own a portfolio of data products, including dashboards, KPIs, semantic data layers, and self-service analytics tools for internal and external stakeholders.
• Define UX requirements and user journeys with stakeholders, aligning analytics experiences to how users work.
• Work with Analytics partners to create prototypes for metrics, dashboards, and analytical experiences.
• Ensure continuous delivery of the data and analytics roadmap by identifying risks, managing scope, and recommending mitigation.
• Translate ambiguous business needs and complex analyses into simple, actionable requirements and clear presentations.
• Maintain strong cross-functional relationships to keep business and technical teams aligned.
• Drive awareness of data best practices, quality standards, and governance processes, including cross-functional implications.
• Stay current on industry trends, emerging data technologies, and competitive analytics capabilities to identify improvements and innovation opportunities.
• Partner with Data Engineering and Governance to support enterprise standards for data quality, lineage, definitions, and reliability.
• Lead user research, feedback sessions, and change management to improve usability and adoption.
• Create documentation such as PRDs, user stories, acceptance criteria, release notes, and user guides.

What you’ll need

• Bachelor’s degree in Business, Information Technology, Analytics, or a related field.
• 3+ years of experience in product ownership, data analytics, business intelligence, or related functions.
• 3+ years hands-on experience with analytics, data, or visualization tools.
• Strong analytical and critical-thinking skills, including the ability to build business cases, measure impact, and present results to senior leadership.
• Proven relationship-building, negotiation, and communication skills, with the ability to influence without authority.
• High attention to detail and the ability to manage multiple priorities in a fast-paced, changing environment.
• Demonstrated experience developing and coaching team members or direct reports.
• Experience with large-scale data technologies or big data environments.
• Strong proficiency in SQL (with BigQuery preferred) and BI tools such as MicroStrategy, Tableau, or Power BI.
• Exceptional verbal and written communication skills, including executive presentations.
• Familiarity with Agile and experience writing epics, user stories, and acceptance criteria.
• Plus: understanding of data modeling, ETL/ELT pipelines, data quality, and semantic layers.
• Strong advantage: experience with data governance, KPI definition, product success metrics, or self-service analytics.
• Helpful but not required: experience in retail, supply chain, or eCommerce.

Tools & technologies

• SQL, BigQuery, MicroStrategy, Tableau, Power BI
• Agile
• ETL/ELT