Advisory Engineer, Data Engineering

Lenovo; Hong Kong; On-site; HKD 700,000 - 900,000; Full time

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

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

Key Responsibilities

• Data Management Enforcement: Data Platform Architecture design, data and AI governance, data pipelines and integration, structure and unstructured data processing and transformation, Advanced analytics and insight generation, Generative BI and conversational analytics, Data operational automation and monitoring
• Presale and Consultant Lead for the end-to-end data and AI capabilities across architecture, integration, governance, automation, analytics, and Generative BI.
• Pre-Sales Support: Partner with sales teams to gather client requirements, scope data solutions, draft technical proposals, POC delivery, and deliver presentations to prospective clients.
• Project Management: Manage the end-to-end delivery of data governance and engineering projects. Ensure timelines, budgets, and resource allocations align with department goals.
• Cross-Functional Collaboration: Serve as the bridge between business stakeholders, client teams, and the internal data engineering team to translate governance requirements into technical solutions.

Requirements & Qualifications

• Experience: Minimum 6 years of experience in Data Management and Data Governance, with a solid track record in IT solution pre-sales and project coordination.
• Technical Knowledge: Strong understanding of data platform design, AI-enabled data processing, data integration and pipeline automation , data lineage tools, data catalogs, and how governance applies to cloud data warehouses or On-prem open source data platform.
• Delivery & Bid Acumen: Experience participating in RFP/RFI processes and managing project delivery frameworks (Agile, Scrum, or PMP).
• Communication: Excellent client-facing skills with the ability to explain governance and data engineering concepts to non-technical stakeholders.

If you require an accommodation to complete this application, please [e-mail]