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Data Product Manager

Lenovo Shenzhen, Guangdong, China

IT Services and IT Consulting · 10,001+ employees

Oct 02
product-manager Senior (5-10 yrs) Full-time China
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About the role

The Data Product Manager will design and maintain end-to-end KPI frameworks and translate complex system behaviors into analyzable data models. They will also act as the primary interface between business and technology teams to drive data-backed product improvements.

What they look for

Data Product Management KPI Frameworks Metric Definition Data Modeling AI-enabled Systems Continuous Improvement PDCA Loop Data Analysis Product Optimization Structured Thinking Cross-functional Communication Requirement Gathering Performance Evaluation System Behavior Analysis Decision Support

Requirements

Candidates must have at least 5 years of experience in data product management or analysis with a strong background in AI-enabled systems. Excellent structured thinking and the ability to define analytical approaches for complex multi-stakeholder environments are required.

Full description

Why Work at Lenovo

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Job Responsibilities

Define and Manage Data Metrics & Measurement Frameworks

  • Design and maintain end‑to‑end KPI and metric frameworks to evaluate product outcomes, user experience, and system performance
  • Ensure metrics are well-defined, consistent, and decision‑ready across platforms and applications

Translate System and User Behaviors into Analyzable Data Models

  • Structure complex system behaviors (e.g., user interactions, decision paths, state transitions) into analyzable data concepts
  • Work with engineering teams to standardize logging, event schemas, and analytical semantics

Lead Data‑Driven Continuous Improvement (PDCA Loop)

  • Formulate data‑backed hypotheses for product and system optimization
  • Measure impact through controlled analysis and experiments
  • Drive concrete actions based on insights, closing the loop from analysis to execution

Support Business and Product Decision‑Making

  • Provide structured, actionable insights to support prioritization and strategic decisions
  • Identify performance bottlenecks, efficiency gaps, and improvement opportunities through data

Act as the Data Product Interface Between Business and Technology Teams

  • Translate business questions into clear data product requirements (Data PRDs)
  • Review and validate data deliveries to ensure they meet business evaluation needs

Note: This role does not include ownership of data platform infrastructure, data pipelines, or ETL development.

Job Requirements

  • Experience with AI‑enabled systems, automation, or intelligent decision‑making products
  • Familiarity with process‑driven or state‑based systems (e.g., diagnostics, support flows, rule‑ or agent‑based systems)
  • Exposure to complex, multi‑system or multi‑stakeholder environments
  • Experience establishing or governing shared metrics across teams or platforms
  • 5+ years of experience in data product management, data analysis, or related product roles
  • Strong capability in designing metric systems and performance evaluation frameworks
  • Proven ability to use data to drive decisions and continuous improvement
  • Excellent structured thinking and cross‑functional communication skills
  • Ability to independently define problems, design analytical approaches, and synthesize conclusions

Additional Locations:

* China

General Information

Req #

100016960

Career area:

Artificial Intelligence

Country/Region:

China

State:

Guangdong

City:

深圳（Shenzhen）

Date:

Wednesday, May 20, 2026

Additional Locations:

* China

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