Data Product Manager - (Digital Retail Experience)

Circle K Stores Inc.

Warszawa

On-site

PLN 240,000 - 420,000

Full time

14 days+

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Benefits offered by this job

Contract of employment
Annual bonus
Private medical care
Cafeteria Platform/Multisport
English lessons subsidized by the公司

Job summary

Circle K Business Centre Poland sp. z o.o. in Warsaw seeks a Data Product Manager – Digital Retail Experience to own the data strategy for Circle K’s in-store and forecourt digital ecosystem, including checkout, self-checkout, display boards, and Made to Order services.

You will lead a high‑performing team, partner with product leadership to define scalable data products, translate business needs into data models, and enable analytics and governance across global operations.

Qualifications

  • Advanced degree in Engineering, Data Science, or related analytical field.
  • 7+ years of experience across data engineering, data analytics, or data architecture.
  • Strong hands-on experience with SQL, analytical and visualization tools (e.g., Power BI), and cloud data warehouses such as Snowflake.
  • Strong awareness of data governance frameworks and privacy regulations (e.g., GDPR).

Responsibilities

  • Lead and develop a high performing team of Data Product Specialists.
  • Partner with the Group Product Manager to define and evolve the data products that power metrics, experimentation, and insights.
  • Translate business and product needs into scalable data solutions, including metric definitions, data models, and self-service analytics products.
  • 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.
  • 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.
  • 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

Team leader
Analytical thinker
Excellent communicator in English
Customer-obsessed problem solver
Curious lifelong learner
SQL

Education

Advanced degree in Engineering, Data Science, or related analytical field

Tools

Power BI
Snowflake

Job description

Job Description


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.


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 drive traffic, loyalty, and incremental revenue

  • Made to Order: Food and beverages that are prepared on the spot based on customer preferences


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


  • Lead and develop a high performing team of Data Product Specialists

  • Partner with the Group Product Manager to define and evolve the data products that power metrics, experimentation, and insights - driving customer engagement, loyalty growth, and monetization on a global scale.

  • 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


  • Team leader who is responsive to evolving business needs.

  • 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.


Qualifications & Experience


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

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

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

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


What do we offer:


  • Contract of employment

  • Annual bonus

  • Private medical care

  • Cafeteria Platform/Multisport

  • English lessons subsidized by the company

  • Group insurance

  • Attractive discounts for products and services at our stations

  • Employee stock purchase plan

  • Employee Assistance Program (Lyra)

  • Two additional days off (Good Friday, Friday after Corpus Christi) – with the possibility of exchanging for other holidays

  • Employee Referral Bonus Program

  • Modern and convenient office that you can virtually visit here - https://goo.gl/maps/CLteHfYcdYMbdESq6

  • Trainings & possibility to develop skills in a wide international environment


When working with us you can depend upon it that you will not be judged on the grounds of race, national origin, gender, sexual orientation, disability, age, or other legally protected status. Oppositely – we believe that our diverse and inclusive culture helps us create an amazing atmosphere where everybody feels welcome.


Check who we are here: https://youtu.be/td-QGnNnvW0


Want to know even more about us? Take a look at our career page: https://workwithus.circlek.com/global/en/businesscentrewarsaw


We hereby inform that in the company Circle K Business Centre Poland sp. z o.o. with registered office in Warsaw an Internal Notification and Follow-up Actions Procedures applies.


The document describes rules for reporting violations of law by whistleblowers. Full content of the above-mentioned Procedure is available here: https://www.circlek.pl/o-nas/procedury-zgloszen

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