Lenovo

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