Consultancies

Data & AI Architecture Consultant - McKinsey Lanyue

at McKinsey & Company

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation: Not specified
City: Beijing, Shanghai, Shenzhen
Country: China

You will enable our clients to become truly data-driven and AI-powered by designing and implementing modern data ecosystems, cloud platforms, agentic workflows, and scalable AI solutions. You will help shape agile analytics practices and foster transformative data and AI culture. You will advise clients across data architecture, AI strategy, data governance, and agentic system design, designing and deploying data ingestion, storage, integration, and analytical pipelines, and migrations of data, models, and AI agents. You will collaborate with clients to establish long-term data and AI architecture goals, define standards and roadmaps, and communicate business value through dashboards, analytical tools, and executive presentations.

Consulting

Data & AI Architecture Consultant - McKinsey Lanyue

Job ID: 104669

Beijing
Shanghai
Shenzhen

Apply Now Apply Later

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you’ve come to the right place.

Your Impact

You will enable our clients to become truly data-driven and AI-powered by designing and implementing modern data ecosystems, cloud platforms, agentic workflows, and scalable AI solutions.

You will help shape agile analytics practices and foster transformative data and AI culture.

You will have opportunities to work across various domains within our data advisory practice, including data architecture, AI strategy, data analytics, data governance, and agentic system design. You will advise clients on developing and optimizing their conceptual, logical, and AI-augmented data systems. You will assess new data and AI system requirements, design and deploy intelligent data ingestion, storage, integration, and analytical pipelines, and implement data, model, and AI agent migrations.

You will collaborate with clients and data users to establish long-term data and AI architecture goals, document current architectures, and define principles, standards, guidelines, and roadmaps toward target AI-enabled data architectures. You will design and implement data middle-platforms, big data platforms, data warehouses, and AI agent frameworks, and develop advanced analytics, predictive models, agentic automation cases, and interactive KPI dashboards. You will help clients understand how AI and agentic solutions can generate business value, working across industries to build compelling data and AI narratives through dashboards, analytical tools, agent prototypes, and executive presentations.

You will apply deep expertise in data management, AI governance, and agentic infrastructure in end-to-end client engagements. You will establish and promote an enterprise data and AI governance framework, including policies, standards, and practices for responsible AI and automated decision-making. You will articulate the impact of AI and advanced analytics solutions through business storytelling, data visualization, and demonstrations of agentic behavior. You will deconstruct complex client challenges, bringing expertise in AI technologies, agentic systems, analytics methods, tools, and operating models.

You will provide thought leadership on achieving data and AI architecture strategies and drive reviews to ensure solutions meet architectural and ethical AI requirements. You will assist clients in defining AI and data governance frameworks, processes, controls, and agent oversight mechanisms. You will apply hands-on experience with metadata management, master data management, data quality tools, AI platforms, and agentic workflow design. You will lead small teams in fast-paced client projects and manage multiple initiatives across industries, delivering end-to-end data and AI-driven solutions.

You’ll be based in Beijing, Shanghai or Shenzhen and will work as part of McKinsey’s Lanyue. The mission of this group is to help business leaders build transformative businesses, including new business prototyping and launching, business transformation, etc. Lanyue works with companies that are facing critical transformative moments and need executional and operational level assistance, including but not limited to MNCs, conglomerates as well as segment leaders.

Lanyue leverages a broad base talent network with highly relevant experience, and provides continuous, distinctive support to our clients to ensure they achieve the best business performance. Our consultants are involved from strategy through execution with a disciplined eye on impact and sustainability at every stage of the project life cycle.

Working at Lanyue means career acceleration, entrepreneurship, and professional development. An executive’s ability to lead through change and to obtain measurable results within a team are skills that are very much in demand and therefore valued. Lanyue acts as an exceptional “transformation academy” given the diversity and the level of issues at stakes of interventions. Experience in Lanyue will cultivate central capabilities and hence accelerate career development in an operational executive’s role. Lanyue combines the advantages of a “start-up” - light hierarchy, autonomy, freedom of expression and initiative - and those of a large group - available resources to develop one’s projects.

Your Growth

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your qualifications and skills

Undergraduate and/or master’s degree with a strong record of academic achievement, degree in data science, computer science, AI, statistics, or a related field
3+ years of work experience including large-scale data governance, enterprise AI, or data architecture projects; understanding of industry best practices in data and AI governance
Familiarity with big data, AI solutions, and agentic architectures. Experience designing and implementing agentic use cases and AI automation workflows
Ability to lead large data and AI projects with strong planning and implementation skills
Experience in top-tier consulting firms (domestic or international) is preferred
Hands-on experience with AI-driven KPI dashboards, analytics use cases, and applications such as ERP, MES, HR, PLM, CRM, e-Commerce, and OA
Proficiency in PowerPoint and Word
Cooperative personality; ability to work with and coach effectively in a diverse group of team members
Detail oriented and with the ability to work under pressure; mentally resilient to sustain the journey
Entrepreneurial and proactive thinking about potential improvements to how things are done; highly pragmatic, focused on achieving outcomes and impact
Ability to communicate complex ideas effectively, verbally and in writing, both in English and Chinese
Comfortable with extensive travel

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

Apply Now Apply Later

FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

share this job

Job Skill Group - N/A
Job Skill Code - PAN - Project Analyst
Function -
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Fri Nov 14 00:00:00 GMT 2025
LinkedIn Posting City - Shanghai
LinkedIn Posting State/Province -
LinkedIn Posting Country - China
LinkedIn Job Title - Data & AI Architecture Consultant - McKinsey Lanyue
LinkedIn Function - Consulting;Information Technology;Project Management
LinkedIn Industry - Chemicals;Management Consulting;Oil & Energy
LinkedIn Seniority Level - Associate