位于上海市的 10 个优质product data analyst职位（正在招聘！）

Senior MLOps Manager
NVIDIA —上海市
- 全职
Lead Analyst - Project and BPO Management
Eaton —上海市
8天
QMS SPECIALIST IV
TE Connectivity —上海市
Analyst, Healthcare focus(Ph.D preferred)
Guidepoint China —上海市
快速申请
Purity Survey Analyst 高纯材料分析工程师
Eurofins China —上海市
快速申请
Security Engineer, Insider Risk
Airwallex —上海市
- 全职
1天
Analyst, Healthcare Focus(Ph.D preferred)
Guidepoint —上海市
快速申请
Senior Growth Marketing Manager, SME
Payoneer —上海市
快速申请
Sr. Commercial Sales Account Manager
Advanced Micro Devices, Inc —上海市
7天
Senior Sales Manager
Leggett & Platt —上海市
11天

More jobs to discover

Find similar jobs that you might be interested in.

Lead Analyst - Project and BPO Management
Eaton —上海市
8)Manage and monitor outsourcing service supplier's service quality and performance to meet global metrics and regional metrics target, conduct the regular…
8天

我想收到关于上海市的 product data analyst 的最新职位提醒

一旦登录您的账户，即表明您同意 SimplyHired 的服务条款和我们的Cookie 协议及隐私政策。

查看更多地区的职位

product data analyst jobs near 上海市

位于上海市的Project Manager职位

位于上海市的Growth Marketer职位

位于武汉市的Project Manager职位

位于广州市的Security Engineer职位

位于长治市的Maintenance Engineer职位

位于江苏省的Tooling Engineer职位

位于深圳市南山区的Simulation Engineer职位

位于重庆市的Business Manager职位

位于上海市的Manager, Retail Leasing职位

位于上海市的It Business Analyst职位

位于云南省的Data Protection职位

位于东莞市的Production Manager职位

位于上海市的Portfolio Manager职位

位于上海市的Order Manager职位

位于云南省香格里拉县的Front Desk Manager职位

位于苏州市虎丘区的Project Manager职位

位于宁波市的Project Manager职位

位于山东省的Project Manager职位

位于北京市的Financial Analyst职位

位于东莞市南城区的Business Analyst职位

Senior MLOps Manager

NVIDIA -
上海市

立即申请

职位详情

全职

完整职位描述

NVIDIA is developing AI and Accelerated Computing solutions for the Automotive industry. We are looking for a Senior MLOps Manager to lead data operations, ground truth (GT) production and delivery.

In this role, you will work alongside world‑class data engineering, data factory, outsource labeling and MLE teams on programs that directly impact NVIDIA’s autonomous driving stack. You will own the end‑to‑end GT operations lifecycle for WR/INDF, from requirements and planning through annotation, QA, and final delivery to model training and evaluation.

What You’ll Be Doing:

Owning the GT production and delivery pipeline, ensuring datasets are delivered on time, at the right quality, and at the right scale for model training and validation.
Defining GT requirements with Data Analyst and MLE teams, and translating them into clear labeling specs, QA specs, volumes, SLAs, and quality targets.
Managing day‑to‑day GT operations across internal teams and external vendors, including task allocation, throughput tracking, and issue triage.
Establishing and monitoring key operational metrics (throughput, quality, rework rate, audit pass rate, labeling cost), driving continuous improvement using data‑driven insights.
Partnering with tooling and data infrastructure teams to improve labeling tools, QA workflows, and GT data pipelines, including opportunities to leverage AI agents to boost efficiency.
Leading cross‑functional reviews and post‑mortems when GT issues are discovered, and driving root‑cause analysis and corrective actions.

What We Need to See:

BS degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
10+ years of overall professional experience in data operations, labeling operations, ML data programs, or related fields, working with large‑scale data or ML‑driven products.
5+ years of direct leadership/management experience leading data operations, labeling teams, or cross‑functional GT programs (people management and/or end‑to‑end program ownership with defined KPIs and SLAs).
Proven track record owning end‑to‑end data or GT operations, with clear examples of how you improved quality, efficiency, and reliability.
Strong communication and stakeholder management skills, with experience working across engineering, ML, product, and vendor teams.
Solid analytical skills and comfort working with metrics and dashboards to drive decisions.

Ways to Stand Out from the Crowd:

Experience leading GT or labeling operations for autonomous driving, robotics, or other complex ML domains.
Hands‑on familiarity with annotation tools, dataset management platforms, and data quality frameworks.
Experience applying AI/agentic tooling to improve operations (e.g., auto‑labeling, active learning, agent‑assisted QA, or workflow automation).
Prior experience managing external labeling vendors, including setting up SLAs, quality targets, and feedback loops.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you’re passionate about data, operations, and enabling world‑class AI models with high‑quality ground truth, we want to hear from you!

立即申请

完善您的搜索

在上海市的product data analyst个职位

Senior MLOps Manager

Lead Analyst - Project and BPO Management

QMS SPECIALIST IV

Analyst, Healthcare focus(Ph.D preferred)

Purity Survey Analyst 高纯材料分析工程师

Security Engineer, Insider Risk

Analyst, Healthcare Focus(Ph.D preferred)

Senior Growth Marketing Manager, SME

Sr. Commercial Sales Account Manager

Senior Sales Manager

More jobs to discover

我想收到关于上海市的 product data analyst 的最新职位提醒

Related Searches

查看更多地区的职位

求职者工具

雇主工具

浏览

保持联系

完善您的搜索

在上海市的product data analyst个职位

More jobs to discover

我想收到关于 上海市 的 product data analyst 的最新职位提醒

Related Searches

查看更多地区的职位

我想收到关于上海市的 product data analyst 的最新职位提醒