[LPS] Data Product Consultant
Why Work at Lenovo
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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).
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Description and Requirements
Lenovo PCCW Solutions (LPS) AI Data Intelligence Practice helps enterprises become truly AI-ready through data strategy, AI readiness, data governance, modern data platforms, analytics, generative AI and managed services. The practice delivers end-to-end services across Strategy, Build and Adopt, helping clients turn enterprise data into trusted business assets and AI-ready foundations.
We work with leading platforms and ecosystems including Microsoft Fabric, Databricks, Azure, AWS, Alibaba Cloud, Lenovo Hybrid AI, modern data governance platforms, data product frameworks, and enterprise AI technologies.
Our clients span financial services, government and public sector, manufacturing, education, retail, hospitality, property, logistics and enterprise markets across Hong Kong and Greater China.
Role Overview:
As a Data Product Consultant, you will help organizations transform enterprise data assets into reusable, trusted and business-driven data products that accelerate decision-making, Customer 360, analytics and AI adoption.
Key Responsibilities:
- Data Product Design
- Define data product vision, scope, business outcomes and adoption metrics.
- Design Customer 360, MDM, CDP, domain data products and reusable analytical assets.
- Define KPI frameworks, business metrics, semantic models and business glossaries.
- Work with architects and engineers to translate business requirements into governed data products.
- Support data product lifecycle management from discovery to adoption.
- Facilitate workshops with business users, data owners, domain experts and technology teams.
- Identify high-value analytical use cases and reusable data assets.
- Translate business concepts into data domains, data entities and product requirements.
- Drive alignment between business value, data governance and technical implementation.
- Develop data product roadmaps, backlog, adoption plans and value measures.
- Support data marketplace, catalog, ownership and stewardship models.
- Contribute to reusable industry templates for customer analytics, operations, governance and reporting.
- Bachelor's degree in Business, Data Analytics, Information Systems, Computer Science or a related discipline.
- 5+ years of experience in analytics, data management, consulting, product management or data transformation.
- Strong understanding of business processes, KPIs, data domains and analytics use cases.
- Experience translating business problems into structured data and analytics requirements.
- Strong stakeholder engagement, documentation and communication skills.
Preferred Qualifications:
- Experience with Customer 360, CDP, MDM, data mesh, semantic layer, data marketplace or data product operating models.
- Experience in financial services, retail, government, property, hospitality, manufacturing, logistics or education.
- Exposure to BI, data governance, AI readiness or modern data platform initiatives.
What Success Looks Like:
- Business users adopt data products as trusted and reusable assets.
- KPIs, semantic definitions and data domains become clearer and better governed.
- Data products accelerate analytics, AI and decision-making across business functions.
Working Style:
- Collaborate with business stakeholders, architects, engineers, consultants and service delivery teams.
- Operate in a consulting-led delivery environment with strong ownership of outcomes.
- Contribute to reusable methodology, accelerators and solution assets for the practice.
- Support enterprise customers in Hong Kong with occasional regional collaboration as required.
Why Join Us:
- Join a growing AI Data Intelligence Practice focused on strategy, platform, analytics, AI and managed services.
- Work on enterprise-scale transformation programs with modern data and AI platforms.
- Develop cross-disciplinary capability across consulting, architecture, engineering, data products and adoption.
- Help clients build AI-ready data foundations that support BI, ML, Gen BI and AI agents.
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