About the role
WPP Media is looking fan experienced Engineering Lead to shape deliver the next generation of AI-, data-, technology-enabled marketing capabilities in China.
This is a senior, hands-on leadership role responsible fengineering strategy, architecture, quality, delivery across platforms supporting consumer intelligence, strategy, audience planning, content, media, optimisation, measurement, workflow automation.
The role will lead the localisation of global capabilities fChina’s cloud, data, media, AI model, regulatory environment, while developing local solutions where global products services do not meet market requirements.
The successful candidate will combine strong engineering fundamentals with practical experience in AI, data platforms, cloud architecture, product development, team leadership.
Key responsibilities
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Lead the engineering strategy, architecture, delivery roadmap fAI, data, media, marketing technology in China.
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Build lead multidisciplinary teams across backend, frontend, AI, data, platform, architecture, quality engineering.
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Establish engineering standards covering architecture, code quality, testing, security, documentation, performance, operational readiness.
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a culture of technical excellence, ownership, collaboration, continuous improvement.
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Lead the development of integrated platforms connecting briefing, insights, strategy, audiences, content, media, commerce, optimisation, measurement.
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Develop reusable APIs, services, AI agents,chestration frameworks, enterprise integrations that can support multiple clients use cases.
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Lead the integration of local global AI models across text, image, video, audio, reasoning, multimodal applications.
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Establish approaches fretrieval, knowledge systems, model evaluation, guardrails, monitoring, human review.
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Support tools faudience discovery, segmentation, campaign planning, channel strategy, budget allocation, optimisation, predictive decisioning, measurement.
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Enable secure integration with client systems first-, second-, third-party data sources.
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Adapt global technology fChina-specific cloud infrastructure, media platforms, data sources, identity environments, regulatory requirements.
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Replace unavailable global dependencies with appropriate local alternatives.
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Lead architecture reviews, technical governance, delivery planning, vendmanagement, production readiness.
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Work closely with global China product, engineering, data, media, strategy, client teams.
Experience education
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15+ years of experience in software engineering, platform development, technology, a related field.
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Significant experience leading engineering teams delivering enterprise-grade platforms.
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Strong experience across software architecture, cloud platforms, APIs, distributed systems, data platforms, DevOps.
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Practical experience with AI, machine learning, generative AI, agentic systems, retrieval-based applications.
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Strong understanding of model integration,chestration, evaluation, monitoring, AI risk controls.
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Experience building products that combine workflow, data, analytics, automation, enterprise integration.
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Experience in media, advertising, marketing technology, commerce, customer data is highly desirable.
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Experience operating within China’s digital, cloud, data, regulatory environment is strongly preferred.
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Strong stakeholder-management skills the ability to work across global local teams.
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Ability to communicate complex technical decisions clearly to technical non-technical audiences.
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Bachelor’s degree above in Computer Science, Software Engineering, Information Technology, Data Science, Engineering, a related discipline.
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A master’s degree equivalent advanced qualification is preferred but not required.
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Equivalent practical experience will also be considered.
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Fluent Mandarin strong professional English are preferred.
What success looks like
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A strong scalable engineeringganisation with clear ownership standards.
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Reliable, compliant, scalable China-ready technology.
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Faster movement from concept proof of value production.
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Greater reuse of shared platforms, services, data, AI capabilities.
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Increased adoption of intelligent workflows across client internal teams.
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Measurable improvements in productivity, quality, media effectiveness, business outcomes.
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