Enterprise Data & Analytics Product Owner

Family Dollar; Chesapeake (VA); On-site; USD 91,000 - 114,000; Full time

Job summary

Family Dollar in Chesapeake, VA is seeking an Enterprise Data & Analytics Product Owner to shape and deliver an enterprise data product strategy. This onsite role coordinates across business and technical partners to define analytics requirements, manage delivery, and increase adoption of data products across the organization.

You will build and own a portfolio of data products—dashboards, KPIs, semantic data layers, and self‑service analytics—while guiding UX, prototypes, governance, and change

Qualifications

• Bachelor's degree in Business, IT, Analytics, or related field.
• 3+ years in product ownership, data analytics, BI, or related roles.
• 3+ years hands-on analytics, data, or visualization tool experience.
• Strong analytical and critical-thinking abilities; able to present to senior leadership.
• Proven relationship-building, negotiating, and communication skills.
• High attention to detail; manage multiple priorities in a fast-paced environment.
• Experience developing/coaching team members or direct reports.
• Experience with large-scale data technologies or big data.
• Proficiency in SQL (BigQuery preferred) and BI tools (MicroStrategy/Tableau/Power BI).
• Executive communication skills and ability to present to leadership.
• Familiarity with Agile methodologies and writing epics/user stories.
• Knowledge of data modeling, ETL/ELT, data quality, and semantic layers a plus.
• Experience with data governance, KPIs, and self-service analytics is advantageous.
• Experience in retail, supply chain, or eCommerce is helpful but not required.

Responsibilities

• Partner with Director to develop and execute an enterprise data product strategy.
• Define data product requirements with business domains and executive teams.
• Build and own a portfolio of data products including dashboards and self-service analytics.
• Define UX requirements and user journeys for data products.
• Design prototypes for metrics, dashboards, and analytics experiences with analytics teams.
• Ensure ongoing delivery of the data analytics roadmap; manage scope and risks.
• Translate complex analyses into simple, actionable requirements and presentations.
• Foster cross-functional alignment between business and technical teams.
• Promote data best practices, governance, and quality standards enterprise-wide.
• Stay informed on industry trends and emerging data technologies for innovation.
• Collaborate with Data Engineering and Governance to ensure data quality and lineage.
• Lead user research, feedback sessions, and change management to improve usability.
• Create PRDs, user stories, acceptance criteria, release notes, and guides.

Skills

Product ownership

Analytics tools

Analytical skills

Stakeholder management

Detail orientation

People coaching

Big data

SQL (BigQuery)

BI tools

Executive communication

Agile / Scrum

Data modeling

ETL/ELT pipelines

Data governance

Industry knowledge (retail)

Education

Bachelor's degree

Tools

BigQuery

MicroStrategy

Tableau

Power BI

ETL/ELT

Agile

Job description

Family Dollar is seeking an Enterprise Data & Analytics Product Owner to help shape and deliver an enterprise data product strategy. In this onsite role in Chesapeake, VA, you will coordinate across business and technical partners to define analytics requirements, manage delivery, and increase adoption of data products across the organization.

What you'll do

• Partner with the Director on the development and execution of an enterprise data product strategy.
• Collaborate with Business and Executive teams to define 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.
• Work with stakeholders to establish UX requirements and user journeys for data products.
• Partner with Analytics teams to design prototypes for metrics, dashboards, and analytical experiences.
• Ensure successful, continuous delivery of the data and analytics roadmap by identifying risks, managing scope, and recommending mitigation strategies.
• Translate complex analyses and ambiguous business needs into simple, actionable requirements and clear presentations.
• Build strong cross-functional relationships to keep business and technical teams aligned.
• Drive awareness of data best practices, quality standards, governance processes, and cross-functional implications.
• Stay current on industry trends, emerging data technologies, and competitive analytics capabilities to identify improvement and innovation opportunities.
• Partner with Data Engineering and Governance to ensure data quality, lineage, definitions, and reliability meet enterprise standards.
• Lead user research, feedback sessions, and change management activities to improve product usability and adoption.
• Create documentation such as PRDs, user stories, acceptance criteria, release notes, and user guides.

What you bring

• 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 of 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, including the ability to influence without authority.
• High attention to detail, with the ability to manage multiple priorities and collaborate across teams 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 (BigQuery preferred) and BI tools such as MicroStrategy, Tableau, or Power BI.
• Exceptional verbal and written communication skills, including executive presentations.
• Familiarity with Agile methodologies, including writing epics, user stories, and acceptance criteria.
• Understanding of data modeling concepts, ETL/ELT pipelines, data quality, and semantic layers is a plus.
• Experience with data governance, KPI definition, product success metrics, or self‑service analytics is a strong advantage.
• Experience in retail, supply chain, or eCommerce is helpful but not required.

Tools and technologies

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

Location: Chesapeake, VA (onsite)

Compensation: USD 91,000 - 113,500 per year