AI Lab Manager

GPP Database Link (https://cummins365.sharepoint.com/sites/CS38534/)

工作总结:

解释数据并将其转换为信息，这些信息可以提供方法来改进在业务中使用数据的方式，从而影响业务决策。收集来自各种来源的信息，并解释模式和趋势。向高级领导层汇报综合研究的结果。负责支持整体数据质量和数据处理方法的改进。

主要责任:

对数据源进行描述性和诊断性分析，与高级领导层一起审查结果，并采取必要的措施。

在数据和元数据上应用机器学习和机器学习工具来提高数据质量，并提供建议和设计解决方案来解决问题。

识别数据集的模式和趋势；对数据应用统计流程控制。

应用商业智能工具和技术的高级功能，创建复杂的分析结果报告和仪表板。

为数据湖中的数据表和元素开发数据概要。

创建和评估数据目录项，确保数据目录元数据质量，并利用数据目录信息为产品开发团队提供指导。

分析来自多个来源的复杂和不同的数据集，以识别数据质量、一致性和可积性问题，并减少数据冗余；提供在整个数据生命周期中解决问题的建议。

协作制定数据清理方法和规则。

维护关键决策、规则、控制、流程和培训材料。

协作把数据分析结果整合到治理解决方案中。

定义新方法并把新工具集成到数据分析流程中。

指导、辅导和审查缺乏经验的团队成员的工作，并提供关于解决问题的指导。

Qualifications

? JD #4 - AI Lab Manager (Senior Level, Team Lead)

Cummins AI Lab - Artificial Intelligence Laboratory

About Cummins AI Lab

The AI Lab integrates applied AI research, engineering workflows, manufacturing processes, and enterprise platforms to deliver high-value AI solutions across Cummins' global operations.

We drive both rapid PoCs and full-scale production deployments.

We are seeking an AI Lab Manager to lead a cross-functional AI team and deliver enterprise-grade AI solutions.

Role Overview

This senior leadership role blends technical oversight, people leadership, delivery management, and cross-team coordination .

The AI Lab Manager will lead a hybrid team and work closely with LLM scientists, platform architects, product architects, and global stakeholders to deliver PoCs and production systems.

• Lead, mentor, and grow a team of AI engineers and scientists.
• Establish a high-performance team culture focused on ownership and delivery.
• Drive hiring, capability development, and role definition for team members.

• Review architectures, prototypes, and solution plans.
• Guide teams across research, development, data, modeling, engineering, and deployment.
• Ensure solutions meet enterprise standards for performance, security, and reliability.

• Partner with Solution Architects, Platform Architects, and Domain Experts.
• Work with global engineering, manufacturing, service, and IT teams.
• Define clear scope, priorities, and success metrics.

• Oversee project lifecycle from ideation → PoC → engineering → deployment → support.
• Ensure timely and high-quality delivery of AI solutions.
• Communicate progress to business and technical leadership.

• Master's degree in AI, Computer Science, Engineering, or related fields; OR equivalent industry experience.
• Strong experience delivering production AI/LLM systems.
• Demonstrated experience leading technical teams (manager or technical lead).
• Ability to lead across all 7 dimensions of full-function AI teams (requirements → exploration → data → modeling → engineering → infra → delivery).
• Experience working in multi-region, cross-functional enterprise environments.
• Excellent communication, stakeholder management, and problem-solving skills.

• Experience in cloud platforms, AI Labs, or major technology companies.
• Experience in engineering, manufacturing, or industrial AI applications.
• Experience building and scaling AI teams.

• Leadership role driving high-impact AI initiatives across Cummins.
• Opportunity to build one of the company's foundational AI teams.
• High strategic visibility and direct influence on enterprise transformation.

• 在 NOSql 和 SQL 源上执行 SQL 查询语言
• 接触敏捷软件开发
• 接触物联网技术
• 数据剖析工具、技术和编码
• 数据目录工具和技术
• 商业智能工具和技术

• 接触大数据开源
• 基于云的集群计算实施经验