Location:Charlotte, North Carolina, USA
Employment Type: Permanent / Full-time

Role Overview

We are seeking aData Product Manager 6 Digital Retail Experienceto own thedatastrategy for Circle K 27s in0store and forecourt digital ecosystem:

• Checkout & Ordering:Datafrom Circle K 27sDigital Advertising & Upsell(LIFT) Platform,Self-Check-out machines, andorderingkiosk/menu boards

• Digital Display:Metrics and reporting for ad walls andEMCs (Electronic Message Centers)

• Forecourt:Experimentation across pump screensandcarwashinterfacesdrivetraffic, loyalty, and incremental revenue

You will design and govern data products that power metrics, experimentation, and insights-driving customer engagement, loyalty growth, andmonetization on aglobal scale.

Circle K 27s ambition is a frictionless digital retail ecosystem with consistent loyalty and personalization, seamless app 2dto 2store journeys, timely omnichannel content, a future 2ready checkout, and strong loyalty enrollment and redemption.

Key Responsibilities

Roadmap & Strategy

• Partner with the Group Product Manager to define and evolve the data product vision, roadmap, and backlog, with clear acceptance criteria and measurable business outcomes.

• Lead and develop ahighperforming team of Data Product Specialists and Data Modelers.

• Translate business and product needs into scalable data solutions, including metric definitions, data models, andself-serviceanalytics products.

Data Integration & Engineering Partnership

• Collaborate with technology partners and vendors toingest, manage, andoperationalizeexternal data feeds.

• Partner closely with Data Engineering to onboard data into the Circle K data platform, resolve data quality issues, and deliver reliable, production ready data products.

Analytics & Insights Enablement

• Work with Performance Analytics to deliver certified datasets for leadership dashboards and ad hoc analysis.

• Partner with product managers to ensure data availability and quality for priority business questions.

• Drive data product adoption through enablement guides, demos, FAQs, feedback loops, and change communications.

Governance, Quality & Compliance

• Operationalize data governance, privacy, and security standards.

• Maintain data catalog, definitions, and lineage documentation to support discovery and trust.

• Define and enforce data contracts, SLAs, and schema change processes with source system owners.

Skills Required

• Analytical thinker who balances creativity with pragmatism.

• Excellent communicator in English, able to translate complex concepts for technical and non-technical stakeholders.

• Customer-obsessed problem solver who collaborates across geographies and levels.

• Curious lifelong learner with a passion for retail, loyalty programs and emerging analytics techniques.

• Team leader whoisresponsive to evolving business needs.

Qualifications & Experience

• Advanced degree in Engineering, Data Science, Statistics, or related analytical field.

• 7+ years of experience across one or more areas: data engineering, data analytics, or data stewardship.

• Strong hands-on experience with SQL, analytical and visualization tools (e.g., Power BI), and cloud data warehouses such as Snowflake.

• Familiaritywith enterprise DemandSidePlatforms used for programmatic media buying, including campaign setup, optimization, and reporting.

• Strong awareness of data governance frameworks and privacy regulations (e.g., GDPR).