AI Solution Portfolio Manager

LenovoBeijing, BeijingOn-siteFull-timeStaff, 8–12 yearsListed 4 hours ago

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About this role

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 (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).

Position Overview

We are seeking an experienced AI Solution Portfolio Manager to identify, evaluate, and integrate innovative AI solutions for vertical industries and business scenarios.

This role will focus on understanding customer needs, tracking AI technology and market trends, and leveraging existing AI solutions and ecosystem partnerships to build a differentiated and scalable AI solution portfolio.

The ideal candidate combines strong AI industry knowledge, customer insights, solution integration capabilities, and excellent communication skills.

Job Responsibilities

1. AI Strategy & Market Insights

- Track AI industry trends, emerging technologies, and competitive developments.
- Understand the AI technology landscape, including GenAI, AI Agents, LLMs, and hybrid AI solutions.
- Identify innovative AI solutions, market opportunities, and potential ecosystem partners.

2. Customer Insights & Scenario Identification

- Understand customer needs, business challenges, and AI adoption opportunities across vertical industries.
- Identify and prioritize high-value AI use cases based on customer value, business potential, and technical feasibility.
- Translate customer requirements into actionable AI solution opportunities.

3. AI Solution Portfolio Development

- Build and manage a comprehensive AI solution portfolio addressing prioritized business scenarios.
- Evaluate, select, and integrate existing AI solutions from technology partners, startups, and the broader AI ecosystem.
- Prioritize solution integration and ecosystem leverage over building solutions from scratch.
- Work with internal teams and external partners to validate solutions, develop PoCs, and accelerate commercialization.

4. Cross-functional Collaboration & Executive Communication

- Collaborate with product, engineering, sales, and business teams to drive solution adoption and business growth.
- Develop business proposals, strategic recommendations, and executive-level presentations.
- Effectively communicate AI solution value propositions to internal stakeholders, customers, and partners.

Job Qualifications

- 5+ years of experience in product management, solution management, AI technology, or related fields.
- Strong understanding of AI industry trends, technologies, competitive landscape, and existing AI solutions.
- Proven ability to identify customer needs, define business scenarios, and translate insights into solution opportunities.
- Experience in solution evaluation, integration, ecosystem partnerships, or portfolio management.
- Strong analytical thinking, business acumen, and cross-functional collaboration skills.
- Excellent English communication skills, both written and verbal.
- Strong presentation, storytelling, and executive reporting skills, with the ability to communicate complex topics clearly and effectively.
- Bachelor's degree or above in Computer Science, Engineering, Business, or a related field.

Preferred Qualifications

- Experience in enterprise AI, SMB solutions, or industry-specific AI applications.
- Familiarity with AI Agents, RAG, LLM applications, and AI solution architectures.
- Experience working with AI startups, ISVs, technology partners, or innovation ecosystems.
- Proven experience in bringing AI solutions from concept or PoC to commercial deployment.