高级分析工程师经理
Senior Manager, Analytics Engineering
Toast 通过技术帮助餐厅和本地企业在一个数字化世界中取得成功，帮助商家运营、提升销售额、与客户互动并让员工保持快乐。
Toast 的企业数据解决方案（EDS）团队致力于打造一个值得信赖、可扩展且有管理的数据基础，使 Toast 的每个团队都能快速而自信地做出决策。随着 Toast 的发展，人工智能成为其产品和运营战略的核心，EDS 是实现这一目标的引擎，构建数据基础设施、治理框架和数据产品，这些是 Toast 各个业务部门所依赖的。
高级经理，分析工程 将领导负责 Toast 企业数据仓库核心分析层的团队，并负责数据架构和建模策略，使所有企业数据领域中的联邦分析团队能够实现其目标。此人将确定 Toast 在大规模上如何建模、治理和暴露数据的方向，并建立和培养一支能够执行该愿景的分析工程师团队。理想的候选人对其团队的工作有高标准，并在组织中不断提升标准方面有成功记录。他们具备企业数据解决方案的深厚专业知识，对现代数据平台的语义和分析层应走向何方有明确的观点，并具备在长期架构与短期业务需求之间取得平衡的判断力。我们寻找一位能够在模糊环境中运作、在公司内协调各利益相关者，并建立一支团队和路线图，使所有 Toast 员工都能做出数据驱动决策的领导者。
**日常职责**
- 负责中心辐射型数据架构的战略和路线图，并在各个领域团队中推动对其的共识
- 领导负责构建和维护我们数据仓库核心分析层的团队，确保其满足在其之上构建的领域团队的需求
- 设定一个可扩展至各个业务领域的 AI 准备就绪的语义层愿景，并指导其实现
- 建立、管理和培养分析工程师团队——招聘、辅导并制定成长路径
- 与高级业务利益相关者、产品领导和工程领导合作，统一组织内部的数据分析优先级
- 在跨职能和领导层论坛中代表 EDS 的分析战略
- 与数据工程领导紧密合作，确保平台的可扩展性和一致性
查看英文原文
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 [https://careers.toasttab.com/toast-benefits](https://careers.toasttab.com/toast-benefits).
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](https://careers.toasttab.com/us-pay-zones).
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: [https://careers.toasttab.com/ai-in-hiring](https://careers.toasttab.com/ai-in-hiring)
**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: [https://careers.toasttab.com/locations-toast](https://careers.toasttab.com/locations-toast)
**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](mailto:candidateaccommodations@toasttab.com).
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_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._