Data Product Manager - Digital Retail Experience

Data Product Manager – Digital Retail Experience

At Circle K, our mission is simple: to make our customers' lives a little easier every day! Whether you have stopped by for a coffee, refueled your car, or grabbed something to eat on the go, you already know who we are.

From the opening of our very first store in Laval, Québec, our company has grown steadily and purposefully. Today, we are a truly global organization, operating in more than 17,300 stores across 29 countries and serving nearly 9 million customers every day. Our success is powered by over 146,000 dedicated people working in our stores and offices worldwide.

Ready to grow your career? Let's grow together.

Role Overview

We are seeking a Data Product Manager – Digital Retail Experience to own the data strategy for Circle K's in-store and forecourt digital ecosystem:

• Checkout & Ordering: Data from Circle K's Digital Advertising & Upsell (LIFT) Platform, Self-Check-out machines, and ordering kiosk/menu boards
• Digital Display: Metrics and reporting for ad walls and EMCs (Electronic Message Centers)
• Forecourt: Experimentation across pump screens and carwash interfaces to drive traffic, loyalty, and incremental revenue

You will design and govern data products that power metrics, experimentation, and insights driving customer engagement, loyalty growth, and monetization on a global scale.

Circle K's ambition is a frictionless digital retail ecosystem with consistent loyalty and personalization, seamless app-to-store journeys, timely omnichannel content, a future-ready 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 a high-performing team of Data Product Specialists and Data Modelers.
• Translate business and product needs into scalable data solutions, including metric definitions, data models, and self-service analytics products.
• Data Integration & Engineering Partnership: Collaborate with technology partners and vendors to ingest, manage, and operationalize external 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 who is responsive 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.
• Familiarity with enterprise Demand Side Platforms used for programmatic media buying, including campaign setup, optimization, and reporting.
• Strong awareness of data governance frameworks and privacy regulations (e.g., GDPR).