架构副总裁 - 数据管理
VP Architecture - Data Management
你擅长建立客户关系并交付有影响力的数管理解决方案吗？你对数据充满热情吗？
作为EXL的数据管理架构副总裁，你将领导需求分析、数据建模、数据迁移、转换映射、自动化、测试和解决方案设计，确保符合企业数据标准。你将负责跨数据平台与架构、数据治理、数据质量、数据工程、报告、分析和数据可视化的大型复杂企业数据项目。
这个职位兼具战略性和战术性：你将选择适合的解决方案技术，塑造客户解决方案愿景，指导技术团队，并通过巩固和拓展客户关系来支持业务发展。
你将与谁合作？
此职位将与客户业务和IT利益相关者、项目团队、EXL垂直领域负责人、项目经理以及跨业务分析、数据、云、工程、报告和分析领域的技术顾问密切合作。
为什么加入EXL？
数据管理架构副总裁参与高可见度项目，对客户有可衡量的影响。
· 工作时间因客户时区而异，可能需要为多时区团队安排早或晚的会议。
· 可能需要前往美国客户现场；大部分工作可通过协作和视频工具远程完成。
在任何一天你可能会
- 与客户经理和客户沟通工作范围和优先级。
- 与分析师、数据架构师和工程师合作改进流程并解决问题。
- 通过提供反馈指导/辅导团队成员以提升他们的表现。
- 支持客户的工作说明书、提案请求、估算和资源规划。
- 支持内部项目、培训、文档和交付方法改进。
- 进行评估、发现、概念验证和技术评估。
- 在项目的任何阶段领导技术交付。
查看英文原文
Are you skilled at building client relationships and delivering impactful Data Management solutions? Are you passionate about data?
As an EXL VP of Data Management - Architecture, you will lead requirements, data modeling, data movement, transformation mapping, automation, testing, and solution design aligned to enterprise data standards. You will oversee large, complex EDM projects across Data Platforms and Architecture, Data Governance, Data Quality, Data Engineering, Reporting, Analytics, and Data Visualization.
This role is strategic and tactical: you will select fit-for-purpose technologies, shape client solution visions, guide technical teams, and support business development by securing and growing client relationships.
Who will you work with?
This role works closely with client business and IT stakeholders, project teams, EXL Vertical Leads, Engagement Managers, and technical consultants across business analysis, data, cloud, engineering, reporting, and analytics.
Why Join EXL?
VPs of Data Management - Architecture work on high-visibility projects with measurable client impact.
· Business hours vary by client time zone, with occasional early or late meetings for multi-shore teams.
· Some U.S. client-site travel may be required; most work is remote using collaboration and video tools.
On any one day you might
- Communicate with Account Executives and clients regarding scope and prioritization of work.
- Collaborate with Analysts, Data Architects, and Engineers to improve processes and resolve issues.
- Coach/mentor a team member by providing feedback to elevate their performance.
- Support SOWs, RFPs, estimates, and resource planning for clients.
- Support internal projects, training, documentation, and delivery methodology improvements.
- Conduct assessments, discovery, proofs of concept, and technology evaluations.
- Lead technical delivery at any stage of a project.
Originally posted on Himalayas