Senior Professional, AI Ecosystem Partnerships & Technology Incubation

Job Description:

Lenovo's Chief Technology Office (CTO) is seeking a highly analytical and strategic thinker to join our team as the Senior Scientist, AI Ecosystem Partnerships & Technology Incubation. This pivotal role is responsible for applying a rigorous, analytical approach to understanding the rapidly evolving Artificial Intelligence landscape, anticipating key technology shifts, and translating these external dynamics into actionable insights that inform Lenovo's strategic direction.

You will serve as a central intelligence hub for AI, constantly monitoring technological advancements, market developments, and competitive movements across the global ecosystem (academia, startups, industry). Your primary focus will be on high-level analysis - identifying the crucial trends, understanding their implications, and assessing their relevance to Lenovo's businesses and future opportunities through data-driven insights. You will work in close collaboration with the AI Ecosystem Partnerships team, internal strategy groups, and technical leadership to ensure Lenovo stays ahead of the curve in leveraging AI innovation.

What You'll Do:

• Monitor & Analyze: Continuously track and analyze the global AI landscape, including emerging research, key technology advancements (e.g., Generative AI, Foundation Models, Edge AI, Responsible AI), startup activities, industry adoption patterns, and competitive intelligence.
• Synthesize & Identify Trends: Distill complex information from diverse sources into clear, concise insights using analytical frameworks. Identify significant short-term and long-term AI trends, technological inflection points, and potential market disruptions.
• Strategic Assessment: Evaluate the strategic relevance and potential impact of identified AI trends on Lenovo's current and future products, services, solutions, and internal operations. Assess opportunities and risks based on evidence and analysis.
• Understand Internal Context: Develop a strong understanding of Lenovo's strategic priorities, business unit needs, product roadmaps, and internal AI capabilities to effectively contextualize external trends.
• Inform & Advise: Develop and deliver compelling narratives, strategic briefs, landscape analyses, trend reports, and presentations grounded in data and analysis to communicate findings and strategic recommendations to technical leaders, strategy teams, and senior executives.
• Collaborate: Work closely with the AI Ecosystem Partnerships lead to share insights that can guide partnership targeting. Collaborate with internal R&D, product teams, and strategy groups to provide foresight and inform decision-making.
• Maintain Knowledge Base: Curate and maintain an up-to-date knowledge base and intelligence reports on critical AI domains and trends relevant to Lenovo.

Position Requirements:

Basic Qualifications:

• Advanced degree (Master's, MBA, or PhD) in Computer Science, Engineering, Physics, Mathematics, Economics, or a related field with a strong quantitative and analytical component.
• 5+ years of experience in roles focused on technology analysis, market intelligence, competitive analysis, technology strategy, quantitative analysis, or management consulting within the technology sector, with a significant focus on AI/ML.
• Strong understanding of core AI/ML concepts, major domains, and the broader technology ecosystem.
• Proven ability to research, analyze large datasets, and synthesize complex technical and market information into clear, evidence-based insights.
• Excellent written and verbal communication skills, with experience presenting complex topics to diverse audiences, including senior leadership.

Preferred Qualifications:

• PhD in a relevant technical or business field (if not already the qualifying advanced degree).
• Experience specifically focused on AI market analysis, AI strategy development, or AI-related competitive intelligence applying quantitative or scientific methodologies.
• Ability to connect technological possibilities with business strategy and market opportunities through rigorous analysis.
• Strong critical thinking and strategic problem-solving skills.
• Demonstrated ability to work independently, manage multiple priorities, and deliver high-quality analysis in a dynamic environment.
• Experience collaborating effectively across technical, business, and strategy functions within a large organization.
• Natural curiosity and a passion for understanding emerging technologies and their potential impact, driven by a desire for objective understanding.
• Familiarity with technology adoption cycles, market forecasting methodologies, and potentially data analysis/visualization tools.