Senior Manager, Analytics Engineering

Toast

3d•$152,000 - $312,000•Hybrid

About The Position

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.

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

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

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