Head of Global Engineering and BI

Head of Global Data Engineering and BI

Job Description Summary

Maybe you’ve stopped by for a coffee, fueled up your car or grabbed something to eat on the go. Then you know Circle K is all about making everyday life easier for people all over the world. We are a Global Fortune 200 company and have grown into a successful global business with over 15,000 stores in twenty-four countries, serving more than six million customers each day. In all, we have more than 120,000 people working at our stores and support offices.

To support our journey to become a data driven organization, we are transforming our data platform and processes to enable an agile delivery model, maximize reusability, and leverage automation to improve our delivery quality and speed to market. We are looking for a dynamic leader to lead our Global Data Engineering and BI team and to lead the data platform transformation. For the right candidate, Circle K can offer a challenging and rewarding role working with a talented, global team. In this role you will own the delivery of data products and solutions for various strategic initiatives, including Global Merchandising Excellence (pricing, assortments, promotions), Global Fuels (pricing), Global Loyalty, Supply Chain (merch COGS), Finance, Real Estate (analog & whitespace), B2C / B2B (payment transactions analytics), Operations (shrink and sales analytics), etc.

The Head of Global Data Engineering and BI will report to the VP of Global Tech Enterprise, Data and Retail Technologies within Circle K and lead a global team of approximately fifty employees (including open positions) and seventy-five contractors. This role will be a key contributor to driving company performance through achieving Circle K’s data analytics strategy and fostering a data driven culture across the organization. This position will be based out of Tempe, Arizona or Charlotte, North Carolina and covers all business units and countries where Circle K operates.

The role will require a high degree of collaboration across all business functions including the Global Technology and Global Data & Analytics teams. It will involve evangelizing effective data management practices, determining how to best leverage relevant existing and emerging technologies, and promoting better understanding and utilization of data and analytics at Circle K. Working with key functional partners and stakeholders, internal technical subject-matter experts, suppliers, and industry experts having the right data, avoiding data bias by including data from varied sources, ensuring the fitness for use and quality of the data and providing the mechanisms to share/leverage common data solutions across CircleK.

In this role, the Head of Global Data Engineering and BI, manages and controls:
• Logical and physical corporate data warehouse and data marts for specific business areas to minimize data redundancy
• Specific analytics and business intelligence (BI) platforms and tools to share and leverage analytic insights across the company
• The investigation and application of relevant emerging technology in the Data and Analytics domain, including GenAI

A large focus of this role is to lead the team responsible for building, managing and optimizing the enterprise data supply chain for key data and analytics consumers (e.g., business & data analysts, data scientists, etc.) to drive business value. The team will ensure data pipelines, models and algorithms are optimized for data integrity, performance, security, and governance.

Job Description

Responsibilities:

• Building and maintaining the data supply chain:  The primary responsibility of this role will be to lead a team that architects, builds and manages the Company’s data supply chain. This will entail ingestion of both existing and future-state data sources to be determined based on business needs
• Being a data and analytics evangelist: This role will promote the available data and analytics capabilities and expertise to functional heads and business unit leaders and educate them in how to best leverage these capabilities in achieving their business goals. In addition, this role will bring relevant leading-edge technology into the solution set for driving business value more quickly.
• Collaborate across functions: The leader will require strong collaboration skills to work with varied stakeholders within the organization. Work in close relationship with cross-functional leaders to scope and prioritize initiatives.
• Manage the technology for the data ecosystem:  Build, integrate, and maintain enterprise data & analytics technologies for: data ingestion; brokering and integration; data warehouse / lake; data marts; and reporting, visualization, and other business intelligence tools.
• Review and enhance develo