Senior Data Platform & Governance Engineer (Pre-Sales)

Lenovo

Hong Kong

On-site

HKD 700,000 - 900,000

Full time

43 hours ago
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Job summary

Lenovo is undergoing a data governance and AI-driven analytics transformation to empower customers with trusted data platforms. The role focuses on leading data governance, pre-sales engagements, and end-to-end delivery of data solutions across architecture, integration and analytics.

You will collaborate with sales, engineering, and client teams to translate business governance needs into scalable technical architectures and proposals.

Qualifications

  • Minimum 6 years in Data Management and Data Governance.
  • Experience in IT solution pre-sales and project coordination.
  • Strong knowledge of data platform design, AI-enabled data processing, and data integration.
  • Experience with RFP/RFI processes and delivery frameworks (Agile, Scrum, PMP).
  • Excellent client-facing communication.

Responsibilities

  • Data Platform Architecture design, governance, and data processing across platforms.
  • Presale and Consultant Lead for end-to-end data and AI capabilities.
  • Pre-Sales Support: gather requirements, scope data solutions, draft proposals, POC delivery, and presentations.
  • Project Management: manage end-to-end delivery of data governance and engineering projects.
  • Cross-Functional Collaboration: translate governance requirements into technical solutions.

Skills

Data governance
Data platform design
Data integration
POC delivery
Project coordination
Agile/Scrum/PMP
Client-facing communication

Tools

Data catalogs
Data lineage tools
Cloud data warehouses

Job description

Lenovo is undergoing a data governance and AI-driven analytics transformation to empower customers with trusted data platforms. The role focuses on leading data governance, pre-sales engagements, and end-to-end delivery of data solutions across architecture, integration and analytics.

You will collaborate with sales, engineering, and client teams to translate business governance needs into scalable technical architectures and proposals.

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