▶ Who we are
Imagine working in a place where continuous improvement and innovation is celebrated and rewarded; where fast-paced, high-impact teams come together to positively drive results for one of the largest & most iconic brands in the world.
As the only rapidly growing retailer, you may know us as your friendly neighborhood store. You probably know our familiar name, have seen our pervasive logo, and have tried our highly sought-after products, such as Slurpee® and Big Bite®. “Brain Freeze” is a 7-Eleven registered trademark for our 53-year old Slurpee® and with over 77,000 stores globally (more than any other retailer or food service provider), we sell over 14 million a month.
But there’s a lot more to our story and much more left to be written. We are transforming our business, ensuring we are customer obsessed and digitally enabled to seamlessly link our brick and mortar stores with digital products and services.
At 7-Eleven the entrepreneurial spirit is in our DNA and has been ever since our inception 90+ years ago. It’s what drove us to invent the convenience industry in 1927 by envisioning how a simple ice dock could provide household staples such as milk and eggs to better serve the needs of our customers.
Today we are redefining convenience and the customer experience in big ways...we are fundamentally changing our culture and we want talented, innovative, customer obsessed, and entrepreneurial people like you to come make history with us.
▶ How we lead
At 7-Eleven we are guided by our Leadership Principles.
Each principle has a defined set of behaviors which help guide the 7-Eleven team to Serve Customers and Support Stores.
▶ About This Opportunity
The Manager, Loyalty is dedicated to supporting the 7Rewards and Speedy Rewards program with a view to deliver superior customer experience, resulting in retention and advocacy of the program. This individual will lead a team focused tracking, measuring, and improving the loyalty programs. This person must be analytically driven with a focus on delivering recommendations that are data based.