# Senior Manager, Analytics Engineering at Toast

Toast is hiring a Senior Manager, Analytics Engineering. Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/949d8b4d-6164-44be-9544-8ebef0e0be4d).

AI Level 3, AI centrality 60 out of 100. Remote (Remote, US).

## Details

- Company: [Toast](https://jobsbylevel.com/companies/toast)
- AI level: AI Level 3 (score 60 out of 100)
- Location: Remote (Remote, US)
- Posted: September 28, 2026
- Apply: https://jobsbylevel.com/go/949d8b4d-6164-44be-9544-8ebef0e0be4d

## Description

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Enterprise Data Solutions (EDS) team at Toast is on a mission to deliver a trusted, scalable, and governed data foundation that empowers every team at Toast to make decisions with speed and confidence. As Toast scales and AI becomes central to its product and operational strategy, EDS serves as the engine behind that ambition, building the data infrastructure, governance frameworks, and data products that business functions across Toast depend on. The Senior Manager, Analytics Engineering will lead the team responsible for our core Analytics layer in Toast's enterprise data warehouse and own the data architecture and modeling strategy that enables federated analytics teams across all enterprise data domains. This person will set direction for how Toast models, governs, and exposes data at scale, and will build and develop a team of analytics engineers capable of executing on that vision. The ideal candidate has high standards for their team's work and a track record of raising the bar across an organization. They bring deep expertise in enterprise data solutions, a point of view on where the semantic and analytics layers of a modern data platform should go, and the judgment to balance long-term architecture with near-term business needs. We are looking for a leader who can operate across ambiguity, align stakeholders across the company, and build a team and roadmap that enable all Toasters to make data-informed decisions. A day in the life (Responsibilities) Own the strategy and roadmap for a hub & spoke data architecture, and drive alignment on it across domain teams Lead the team that builds and maintains the core Analytics layer in our data warehouse, ensuring it meets the needs of the domain teams building on top of it Set the vision for an AI-ready semantic layer that is extendable across business domains, and guide its execution Build, manage, and develop a team of analytics engineers — hiring, coaching, and setting growth paths Partner with senior business stakeholders, product leadership, and engineering leadership to align on data analytics priorities across the organization Represent EDS's analytics strategy in cross-functional and leadership forums Partner closely with data engineering leadership to ensure platform scalability and coherent architecture across teams Provide technical and people leadership, mentorship, and career development to team members What you'll need to thrive (Requirements) 8+ years experience in Business Intelligence, Analytics, and/or Data Engineering roles 2+ years experience managing or formally leading a team of analytics or data engineers 5+ years experience developing data modeling strategies at scale 4+ years experience developing in dbt Ability to understand the business needs behind data modeling decisions Highly proficient in SQL, with a focus on query design and performance Demonstrated ability to influence senior stakeholders and drive alignment Thrives in a fast-paced environment and comfortable operating under ambiguity What will help you stand out (Nonessential Skills/Nice to Haves) Experience with Airflow Experience with Sigma, Hex, and/or other BI dashboard tools Experience in cloud-based data warehouses, specifically Snowflake Experience with Python Experience building or scaling a data/analytics engineering function Experience in a SaaS or FinTech focused enterprise AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those

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Source: https://jobsbylevel.com/jobs/senior-manager-analytics-engineering-at-toast-ec5585

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-manager-analytics-engineering-at-toast-ec5585.

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