西门子Data Operation Specialist

N/A

As an AIML Data Operations Team Lead, you’ll be responsible for providing daily leadership and promoting the development of 25-30 Annotation Analyst team members. You are self-motivated, friendly and have a passion to support your team’s development through critical and creative thinking. You’ll identify, promote, and implement innovative ideas to meet and exceed performance and quality goals set by leadership. You will support employees’ success through establishing relationships and seeking to understand what motivates individuals. You will oversee performance management, ensuring daily, monthly, quarterly operational metrics are met. You’ll effectively execute on management and administrative tasks such as leading staff meetings, conducting regular one-on-one’s, hiring, training, and development of employee performance. You will drive operational improvements, team collaboration, and recommend innovative solutions to business challenges. You’ll establish clear and effective working relationships and communication channels with internal partners. This position comes with competitive pay, great benefits, eligibility to participate in our company stock plan, time off, an employee discount, and dedicated resources to support your ongoing growth and career development.

As part of the AIML Data Operations Team, you play a central role in enhancing the user experience and team collaboration. As an SPR supporting the AIML Data Operations organization you will engage with Account and Crowd Managers to define and align on project deliverables. Manage resource plan for analyst headcount, partnering with Account, Crowd Managers, Team Leads and Capacity Planning to align targets and goals across portfolio. Draft and implement policies related to performance and project management of all projects delivered from your site. Effectively communicate project status/metrics and insights to management. Partner with Account and Crowd Managers to ensure data accuracy and timeliness of data. Manage support for project approvals, prioritization and flag outliers for leadership.  Coordinate site project rollout and execution (platform changes, HC, training, metrics). Bring in consistency in project delivery via standardized templates and project management best practices. Provide Tech support to analysts as needed. Work with tool owners to update/fix tools as projects come in. Successful candidates are highly organized, highly analytical, independent, able to make decisions based on data driven insights, and ready to dig into the details and get the job done despite practical or technical hurdles.

1. 基于业务规划，主导设计围绕 B 端商户管理能力的数据建设目标及节奏，协同产研推动需求落地和长期建设； 2. 结合业务场景，建立分阶段的业务指标框架，深度分析关键指标数据表现及指标牵引效果分析。 3. 理解不同区域的用户数据需求，提炼数据看板及能力建设需求，识别需求优先级，输出数据BRD。 4. 多来源数据供应商的管理和对接，协同产研落地数据采购的选型、商务对接，并管理接入进程。 5. 业务核心数据监控，持续输出业务进展数据分析及波动总结，为业务决策提供数据支持和决策建议。 Responsibilities: 1. Based on business planning, lead the design of data infrastructure goals and implementation roadmap focused on B2B merchant management capabilities; collaborate with product and Tech teams to drive requirement implementation and long-term development. 2. Develop a phased business metrics framework aligned with business scenarios; conduct in-depth analysis of key performance indicators and evaluate their effectiveness in driving business outcomes. 3. Understand data needs across different regions, identify requirements for dashboards and data capabilities, prioritize demands, and deliver data Business Requirement Documents (BRDs). 4. Manage and coordinate with multiple data vendors; work with product and R&D teams to select data procurement solutions, handle commercial negotiations, and oversee integration processes. 5. Monitor core business metrics, continuously deliver data analysis and summaries on business progress and fluctuations, and provide data-driven insights and recommendations to support business decisions.