Strategy Planning Manager/Director (Cloud/AI)

Strategy Planning Manager/Director Key Responsibilities

• Lead the company's 3-5 year mid- to long-term strategic planning in the AI domain, integrating industry trends, technological evolution, and competitive dynamics to define clear strategic directions and core implementation roadmaps.
• Break down top level strategies into actionable phased goals (e.g., OKRs/KPIs) and drive cross functional alignment and resource coordination.
• Collaborate closely with product and business units to diagnose key pain points and growth opportunities. Build financial and commercial analysis models (e.g., market potential assessment, ROI modeling, competitive moat analysis) to evaluate the feasibility of AI commercialization initiatives.
• Regularly produce strategic execution evaluation reports and provide data driven decision support to senior management.
• Monitor regulatory policies, user behavior, and competitive landscapes in target overseas markets. Assess market entry opportunities and risks to provide forward looking recommendations for international expansion.
• Conduct systematic research on AI product technology roadmaps, feature sets, and commercialization models. Deliver competitive analysis and recommend differentiated product positioning strategies.
• Track frontier AI technologies (e.g., large language models, AI chips), evaluate their application potential, and provide input for technology selection and product iteration.
• Work closely with product, R&D, marketing, and other teams to ensure effective execution of strategic initiatives, and demonstrate the ability to communicate complex strategies clearly to senior leadership.

Requirements

• 3-8 years of experience in strategic planning or management consulting, with a strong understanding of business operations and decision making processes in technology companies. Experience at top tier consulting firms or investment banks is preferred.
• In depth understanding of machine learning, large language models, and their commercialization applications, with the ability to communicate effectively with technical teams.
• Strong skills in Excel, SQL, and Python for market modeling and competitive analysis.
• Experience in overseas market research or AI product analysis. Familiarity with AI technology stacks (e.g., cloud computing, industry specific AI solutions) or hands on experience in AI product commercialization. Ability to independently produce high quality research reports.
• Strong structured thinking, communication skills, and cross functional influence.
• Highly self motivated with a results oriented mindset.

Regret to inform that only shortlisted candidates will be notified.

EA Registration Number: R
Business Registration Number: W.