Senior Manager, Analytics Engineering at Toast

Job 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 who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at careers.toasttab.com . The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy . Zone A $195,000 — $312,000 USD Zone B $169,000 — $270,000 USD Zone C $152,000 — $243,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. We ask that you complete interviews and assessments on your own, without real-time AI tools, recording, or transcription bots, unless we tell you otherwise in advance. To learn more: careers.toasttab.com Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: careers.toasttab.com People Are the Secret Ingredient in Our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry brings together people with a wide range of backgrounds, experiences, and perspectives, and we value that same breadth at Toast. We strive to build a culture grounded in authenticity, respect, and humility, where every Toaster has a real opportunity to grow, contribute, and do their best work—raising the bar in delivering exceptional experiences for our customers and each other. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com . ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

Must-haves

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.
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
Experience with Airflow
Experience with Sigma, Hex, and/or other BI dashboard tools
Experience in cloud-based data warehouses, specifically Snowflake
Experience with Python

Nice-to-haves

What will help you stand out (Nonessential Skills/Nice to Haves)

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Keywords to mirror

aigosqlpython

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Benefits

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Vision