Sr. Director, Software Engineering - Data

Sr. Director, Software Engineering - Data

Join to apply for the Sr. Director, Software Engineering - Data role at Restaurant Brands International

Sr. Director, Software Engineering - Data

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Join to apply for the Sr. Director, Software Engineering - Data role at Restaurant Brands International

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.

Intelligence Engineering is the data and AI backbone for all RBI brands. We ingest billions of transactions, scale Snowflake and AWS platforms, and deliver advanced analytics and GenAI solutions that unlock value for franchisees, restaurant teams and corporate stakeholders. The Senior Director of Engineering, leads a team of engineers, engineering managers, product managers, and support professionals to build a strong, clean, and cost-effective data product for all of RBI.

This position is based in Miami, FL and is in the office 5 days a week.

Role & Responsibilities

• Own the Intelligence Leads charter and weekly forum – set agendas, publish decisions and track action items that span platform, product and compliance domains.

• Align quarterly roadmaps and OKRs across Snowflake cost optimization, AWS cost split, real-time streaming POCs, GenAI/RAG/MCP initiatives and data-governance programs (DSAR, retention automation, etc.).

• Drive vendor and contract strategy (e.g., Informatica, AWS Glue, Keboola, Sigma) and partner with finance on budget vs. forecast tracking

• Lead migration off legacy Redshift/Informatica to Snowflake-centric, streaming-friendly architecture.

• Enforce governance, retention automation and PII anonymization standards

• Champion engineering excellence – enforce change-management and on-call standards, expand playbooks, and institutionalize RCA reviews.

• Define vision, principles and ethical guardrails for Generative AI, predictive modeling and MLOps.

• Prioritize and deliver flagship AI products (RAG chatbots, fraud detection, demand forecasting).

• Champion data-centric AI practices: feature stores, automated data quality, synthetic-data generation.

• Hire, coach and retain top-tier talent across data engineering, ML, product and ops.

• Optimize team structure (pods, guilds) for focus and autonomy; maintain healthy on-call rotations.

• Lead cross-team program delivery for high-impact efforts such as Snowflake Kinesis NRT streaming, MCP server auth redesign, and franchisee-facing analytics.

• Manage talent pipeline – coordinate hiring plans (FTE & contractors), onboarding and career development for Leads’ direct reports and interns.

• Report out to senior leadership on KPI dashboards covering velocity, reliability, spend, and business impact
Qualifications

• Bachelor’s or Master’s in Computer Science, Data Engineering, AI/ML or related field.

• 12+ years building large-scale data/analytics platforms; 7+ years leading multi-team organizations; proven management ofpeople including contractors.

• Demonstrated success shipping production ML/AI systems (e.g., LLM fine-tuning, RAG, forecasting, anomaly detection).

• Expertise with Snowflake, AWS…