远程工作雷达

高级经理,数据策略

Senior Manager, Data Strategy

其他限定地区(需当地身份)
公司ServiceTitan
薪资未公开
工作地点Glendale, CA, United States
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Full-time
发布时间2020-10-13
数据来源SmartRecruiters
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注意地域限制:该职位明确限定在 us 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

我们正在寻找一位能够构建数据战略以支持ServiceTitan当前及未来发展需求的领导者。理想的候选人应具备大数据平台架构经验、数据科学理解能力,并有带领和管理工程团队的经验。理想的候选人应满足以下大部分或全部条件。

作为我们的高级经理,数据战略,您将:

  • 定义、优先排序并实现支持ServiceTitan产品组合中实时数据驱动决策和客户洞察的平台和工具的战略、架构和实施方案。
  • 制定协调一致的数据产品技术路线图,利用工程支持公司整体产品和增长目标。路线图应兼顾短期成果和长期扩展能力。
  • 为内部和外部数据实体设计架构框架,开发数据管道、存储、保留和集成方法,包括整体数据治理。
  • 研究并掌握新技术和行业趋势,融入适合推进ServiceTitan目标的新想法。
  • 招聘、管理、培养并留住一支高效团队,通过提升组织内数据驱动决策的能力来满足当前和未来的需求。
  • 与数据科学、IT和其他部门合作,确保业务可获得有效的报告、仪表板、洞察、分析和数据驱动决策。
  • 确保使用的工具适合问题需求,在必要时利用AI/ML。
  • 确保数据收集与数据科学需求相集成,包括模型开发和实时模型执行。
  • 开发并实施数据质量验证和持续改进的解决方案。

要在这个职位上取得成功,您需要具备:

首选经验

  • 对人工智能和机器学习的理解
  • 基于Docker和Kubernetes等基础设施自动化技术
  • 事件驱动架构
  • 具备处理大规模和低延迟数据架构的经验
  • 对使用REST的集成方法、API和服务有深入理解
  • 展现出快速适应新技术和学习的能力
  • 强大的书面和演示沟通能力

首选技术

  • 数据仓库和数据建模
  • Azure(数据工厂)
查看英文原文

About ServiceTitan
ServiceTitan is the world’s leading and fastest-growing software technology platform for the trades, a trillion-dollar global industry. We help small business entrepreneurs run and grow their businesses. For more information about ServiceTitan, visit www.ServiceTitan.com.
Perks & Benefits
1. Work/Life Balance: flexible work schedule, flexible PTO
2. Family-Friendly Benefits: extended parental leave, pregnancy support, 20k in adoption reimbursement, Snoo Smart Sleeper, back-up childcare credits, legal benefit, discounted pet insurance
3. Enrichment: ongoing learning culture with access to Linkedin Learning and professional development workshops, diversity charter groups, orientation program, career pathing opportunities, mentorship programs
4. Health & Wellness: company-paid medical/vision/dental/life insurance/disability, employer HSA contribution, free One Medical membership, care coordination support, 401(k) with company match, stipend for home office equipment/supplies, gym discounts, monthly cell phone stipend
Equal Opportunity Employer

The engineering organization at ServiceTitan is looking for a leader who will build the data strategy to support our growth now and in the future. The ideal candidate will have experience with architecture of big data platforms, understanding of data science, and have grown and managed engineering teams. Ideal candidates will meet most, if not all, of the following criteria.
As our Senior Manager, Data Strategy, you will:
· Define, prioritize, and deliver the strategy, architecture and implementation of platforms and tools for enabling real-time, data-driven decision making and customer insights across the ServiceTitan portfolio of products.
· Establish a well-coordinated technology roadmap for data products, leveraging engineering in support of the broader company product and growth goals. The roadmap should deliver a mix of short-term wins and long-term capabilities for scale.
· Design architectural frameworks for data entities, both internal and external, and develop data pipeline, storage, retention and integration methodologies including overall data governance.
· Research and stay abreast of new technologies and industry trends. Incorporate new ideas that are well suited to advance the goals of ServiceTitan.
· Hire, manage, grow and retain a high performance team that can meet both present and future needs by increasing and scaling data-driven decision making across the organization.
· Partner with Data Science, IT, and other organizations to ensure effective reporting, dashboards, insights, analytics, and data-driven decision making are available to the business.
· Ensure tools used are appropriate and suitable for the problem. Leverage AI/ML when necessary.
· Ensure integration of data collection with data science requirements both for model development and real-time model execution.
· Develop and implement solutions for data quality validation and continuous improvement.
To be successful in this role, you'll need:
Preferred Experience
· AI & Machine Learning understanding
· Infrastructure automation technologies like Docker and Kubernetes.
· Event Driven Architecture
· Experience developing architectures that process data at scale and low latency
· Strong understanding of integration methods, APIs and services using REST.
· Demonstrated ability to adapt to new technologies and learn quickly
· Strong written and presentation communication skills
Preferred Technologies
· Data warehousing and data modeling
· Azure (Data Factory, Data Lake, SQL Data Warehouse
· Microsoft Business Intelligence (Power BI)
· Microsoft SQL Server, PostgreSQL
· Data reporting and visualization

All your information will be kept confidential according to EEO guidelines.

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