Manager, Marketing Business Intelligence, Tim Hortons, US

3129 Tim Hortons USA Inc.; Miami (FL); On-site; USD 120,000 - 160,000; Full time

Job summary

Restaurant Brands International Inc., the parent company behind Tim Hortons US, seeks a hands-on Manager, Business Intelligence in Miami to own the data foundation for the US Marketing Analytics team. You will define canonical datasets, metric definitions, data quality monitoring, and reusable workflows to analyze sales, guests, pricing, and media.

You will translate analyst needs into technical specifications, move datasets to production, and lead practical AI adoption, evaluating Claude,

Job description

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world. Restaurant Brands International Inc. is one of the world's largest quick service restaurant companies with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories. RBI owns four of the world's most prominent and iconic quick service restaurant brands – TIM HORTONS®, BURGER KING®, POPEYES®, and FIREHOUSE SUBS®. These independently operated brands have been serving their respective guests, franchisees and communities for decades. Through its Restaurant Brands for Good framework, RBI is improving sustainable outcomes related to its food, the planet, and people and communities. RBI is committed to growing the TIM HORTONS®, BURGER KING®, POPEYES® and FIREHOUSE SUBS® brands by leveraging their respective core values, employee and franchisee relationships, and long track records of community support. Each brand benefits from the global scale and shared best practices that come from ownership by Restaurant Brands International Inc.

We are seeking a hands-on Manager, Business Intelligence to build and own the data foundation behind the Tim Hortons US Marketing Analytics team: the certified datasets, canonical metric definitions, data quality monitoring, and reusable workflows the team relies on to analyze sales, pricing, guests, and media. This role is Marketing Analytics’ technical bridge to Data Engineering, translating analyst needs into technical specifications and moving datasets from prototype into the Marketing Analytics production schema. The Manager will also lead practical AI adoption within the team, staying current on Claude, ChatGPT, and relevant integrations and automation solutions. This includes identifying useful capabilities, evaluating their effectiveness, introducing repeatable workflows, and helping team members incorporate them into their daily work. This is a hands-on individual contributor role reporting to the