Danone China

MAIN PURPOSE

The Tech Lead anchors the technical strategy and delivery of APAC’s Digital Transformation agenda. This role leads the Digital Engineering squad (Data Architects & Data Scientists) and work closely with ITD & CBU Business Owners to build scalable data foundations, ensure strong data governance, and deliver high quality technical solutions that enable the APAC Digital Priorities to generate proven business impact.

This role combines deep technical expertise with a consulting mindset — shaping APAC’s data architecture, guiding PMOs, and ensuring that high-priority initiatives (e.g., Demand Forecast, MMM) are delivered with discipline, quality, and scalability.

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KEY RESPONSIBILITIES

1.    Data Strategy & Data Governance Leadership (40%)

·       Define and maintain the APAC Data Strategy (architecture principles, governance model, standards, KPIs).

·       Ensure data quality, privacy, and governance standards across all digital initiatives.

·       Drive the alignment with ITD on data architecture, pipelines, integration, and security.

·       Oversee readiness assessments and data maturity mapping across CBUs.

·       Act as technical owner for data decisions in high-priority initiatives. ………………………………………………………………………………………………

2.    Technical Direction on Priority Initiatives (40%)

Lead & prioritize Engineering support for key APAC digital priorities, including but not limited to:

·       Demand Forecast (ML-based demand forecasting) – Data science modelling oversight, validation, and scaling requirements.

·       CDP & Tagging – Define tracking schemas, data integration flows.

·       MMM – Ensure robust data models and model handover for scalability.

Responsibilities include:

• Validate solution design, integration approach, and data readiness.
• Ensure technical robustness before a project is approved for “Scale”.
• Support PMOs with technical clarity, risk identification, and vendor evaluation.
• Oversee key SIT/UAT cycles for data and ML components.

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3.    Assetisation & Cross CBU Scaling (15%)

• Co-work with ITD to turn successful pilots into reusable digital assets (reusable data pipelines, modelling templates, APIs, reference architecture).
• Create handbooks, architecture diagrams, and implementation of playbooks to accelerate cross CBU rollout.
• Ensure consistency of implementation across CBUs, avoiding fragmented technical decisions.
• Supervise technical onboarding for next wave CBUs.

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4.    Leadership & Team Development (5%)

• Supervise the Data Architect and Data Scientist; ensure clarity on priorities, quality of delivery, and professional growth.
• Guide the team in technical solution design, modelling approaches, and architecture best practices.
• Build a high-performing, consulting-oriented team that balances strategic thinking and hands-on delivery.

QUALIFICATIONS

Education

• University degree in Computer Science, Data Engineering, Statistics or related technical field.
• A postgraduate degree is a plus.

Experience

• 7+ years in Data Engineering, Data Architecture, or Machine Learning delivery roles.
• Experience supervising Data Engineers/Architects/Scientists.
• Strong background in consulting or cross-functional technical leadership (preferred)‑
• Proven experience designing enterprise-level data architecture and governance.
• Strong understanding of UI/UX, data pipeline, tagging schemas, ML models, and integration patterns.

Technical Expertise

• Strong command of SQL, Python, data modelling, and architecture frameworks.
• Familiar with cloud ecosystems (Aliyun preferred) and modern data stacks (e.g., Spark, Hive).
• Experience across the full ML lifecycle, including model deployment and CI/CD automation (GitLab, Jenkins, Airflow).
• Understanding of API architecture, modular design, and reusable component development.

Interpersonal Skills

• Strong consulting mindset: ability to structure problems, simplify complexity, and influence senior stakeholders.
• Excellent communication skills: able to explain technical concepts to nontechnical audiences.
• Strong ownership, proactive mindset, and high reliability.
• Comfortable navigating ambiguity and working in a fast paced, multicultural environment.