数据架构师负责人
Lead Data Architect
Bounteous 是一家全球人工智能服务公司，通过代理工程和人类体验的结合，为企业带来变革性的业务成果。我们帮助组织设计、构建和扩展由人工智能驱动的产品、平台和流程。Bounteous 全球拥有超过 5000 名员工，提供能够真正落地的人工智能解决方案，推动采用率和成果，使组织从实验阶段迈向真正的转型。Bounteous 由纽约的 New Mountain Capital 支持，这是一家专注于业务建设的成长型投资公司。
职位描述 这是一个数据密集型、需要亲力亲为的领导角色，要求候选人能够亲自深入分析复杂的数据集，并带领团队解决同样复杂的问题。我们寻找一位不仅能够审查他人工作，还能作为具备高级技术能力的个人贡献者，亲自处理最困难的分析任务，为团队设定技术标准，并在工作真正变得困难时为分析师解除障碍。
关键职责 • 领导并执行复杂的高风险分析——深入调查、统计建模和多源数据问题，这些需要真正的技术深度，而不仅仅是编写查询
• 指导并帮助团队解决困难的技术问题：查询优化、数据建模挑战、混乱或模糊的数据集，以及初级分析师卡住的边缘情况
• 编写高级且高效的 SQL 查询，针对大型和复杂的数据集（多表连接、窗口函数、查询优化，处理混乱或文档不全的模式）
• 与数据工程团队合作，构建和维护稳健的数据模型和管道，并了解底层基础设施，以便从源头分析数据质量问题
• 应用统计方法（实验/A/B 测试、回归分析、群体和趋势分析）超越表面报告，得出严谨且有说服力的结论
• 设计和构建仪表盘和报告框架，同时也知道何时仪表盘不够，需要更深入的定制分析
• 设定并执行团队的技术标准——代码审查、数据质量检查、分析严谨性和文档编写
• 通过与分析师一起解决难题来指导他们，而不仅仅是审查最终成果
• 将模糊、定义不明确的业务问题转化为结构化、技术上合理的分析方法
• 以一种能让高级利益相关者理解的方式呈现复杂发现
查看英文原文
Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.
About the Role This is a data-heavy, hands-on leadership role for someone who can dig deep into complex datasets themselves and guide a team through equally complex problems. We are looking for someone who can not only review others' work but also is a strong individual contributor with senior-level technical caliber who can roll up their sleeves on the hardest analyses, set the technical bar for the team, and unblock analysts when the work gets genuinely difficult.
Key Responsibilities • Lead and execute complex, high-stakes analyses — deep-dive investigations, statistical modelling, and multi-source data problems that require real technical depth, not just query-writing
• Guide and unblock the team on difficult technical problems: query optimization, data modeling challenges, messy/ambiguous datasets, and edge cases junior analysts get stuck on
• Write advanced, performant SQL against large and complex datasets (multi-table joins, window functions, query optimization, working with messy or poorly documented schemas)
• Build and maintain robust data models and pipelines in partnership with Data Engineering, and know enough about the underlying infrastructure to reason about data quality issues at the source
• Apply statistical methods (experimentation/A-B testing, regression, cohort and trend analysis) to move beyond surface-level reporting into rigorous, defensible conclusions
• Design and build dashboards and reporting frameworks, but also know when a dashboard isn't enough and a deeper custom analysis is needed
• Set and enforce technical standards for the team — code review, data quality checks, analytical rigor, and documentation
• Mentor analysts by working alongside them on hard problems, not just reviewing finished output
• Translate ambiguous, loosely-defined business questions into structured, technically sound analytical approaches
• Present complex findings to senior stakeholders in a way that's rigorous but accessible
• Own the technical roadmap for the analytics function's tools, data models, and processes
What We're Looking For
Required: • 9+ years of hands-on data analysis experience, with demonstrated depth (not just breadth) in complex, high-volume datasets
• 2+ years leading or mentoring analysts on technically difficult work, not just project managing
• Expert-level SQL: comfortable with window functions, query optimization, and untangling large/messy schemas without much documentation
• Experience with cloud data warehouse/ lakehouse platforms such as Snowflake and Databricks; ability to work across both during platform transitions is a plus.
• Solid grounding in statistics — experimentation design, hypothesis testing, regression, and knowing when correlation isn't enough
• Experience with a BI/visualization tool (e.g., Tableau, Looker, Power BI), used as one tool among several rather than the primary skill set
• Demonstrated ability to independently solve ambiguous, multi-layered data problems end to end
• Proven ability to communicate complex technical findings clearly to senior, non-technical stakeholders
Good to Have • Direct experience designing and analyzing A/B tests or experimentation frameworks
• Exposure to data engineering concepts (schema design, ETL, data warehousing) sufficient to diagnose upstream issues
• Experience formally managing analysts (performance, growth plans), not just technical mentorship
Skills & Attributes • Deep, practical fluency with data — someone who remains close to the analysis itself rather than operating purely at a supervisory level
• Strong analytical and statistical judgment, with the ability to identify data quality issues and edge cases that less experienced analysts may overlook
• Technically credible with data engineering counterparts while remaining an effective communicator to business stakeholders
• Builds credibility with the team through the quality and rigor of their own work, in addition to formal mentorship
Information Security Responsibilities
Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
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