數據專家（Data Expert / Senior Data & AI Governance Lead）

萬象智能科技有限公司; Hong Kong; In loco; HKD 600.000 - 1.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Equity incentive

Visa and talent scheme support

Competitive salary

Performance bonus

Descrizione del lavoro

OMNIX AI is a Hong Kong-based data and AI company focusing on data governance for industrial applications, including smart agriculture and energy. The role drives data standards, metadata, and lifecycle management across LLM training corpora, RAG knowledge bases, and edge data collection.

They seek a technically seasoned leader with 5+ years in data governance or data platforms, fluent in English and Chinese, and comfortable in an early-stage environment with strong collaboration across teams.

Competenze

• Bachelor's degree or above in data science, statistics, computer science, software engineering or information systems.
• 5+ years experience in data analysis, data governance or data platform.
• Familiar with DAMA / DCMM methodologies and governance frameworks from scratch.
• Technical stack: SQL; Python; familiar with Spark / Kafka / Airflow / dbt / K8s.
• Hands-on experience with data governance tools (Collibra / Informatica / DataHub / Amundsen or similar).
• Understanding of LLM data pipelines (corpus cleaning, vector databases, RAG knowledge bases, MLOps).
• Understanding of cross-border data compliance (PDPO / GDPR / mainland data export).
• Bilingual English and Chinese communication; Cantonese preferred; interface with stakeholders.
• Able to work in early-stage environment: build frameworks first, add tools progressively.

Mansioni

• Define and implement company data strategy: data standards, classification, metadata, master data, data quality and lifecycle management.
• Build AI data governance system covering large language model training corpus, RAG knowledge bases, multimodal samples, and edge device data collection, cleaning, annotation, versioning and compliance control.
• Construct industrial data platform: unified data lake/warehouse, feature platform, data lineage and observability supporting algorithm-electromechanical-manufacturing full chain.
• Enable cross-border data compliance: meet Hong Kong PDPO and mainland cross-border data flow requirements, establish data masking, permission and audit mechanisms.
• Drive business insights: build operational metrics, equipment telemetry analysis, predictive maintenance and decision dashboards for agriculture, livestock, biological manufacturing and energy scenarios.
• Support pre-sales and delivery: output data solutions, POC validation, customer data integration standards, assist key project implementation.
• Promote data culture: establish data glossary, governance SOP, AI data asset catalogue, align business and technical teams on common data language.

Conoscenze

Data analysis

Data governance

Data platform

SQL

Python

Spark

Kafka

Airflow

dbt

Kubernetes

Collibra

Informatica

DataHub

Amundsen

MLOps

Cross-border compliance

Bilingual EN/CN

Formazione

Bachelor's degree or above

Strumenti

Collibra

Informatica

DataHub

Amundsen

Descrizione del lavoro

Key responsibilities

Define and implement company data strategy: data standards, classification, metadata, master data, data quality and lifecycle management

Build AI data governance system covering large language model training corpus, RAG knowledge bases, multimodal samples (images, vision, sensors), and edge device data collection, cleaning, annotation, versioning and compliance control

Construct industrial data platform: unified data lake/warehouse, feature platform, data lineage and observability supporting algorithm-electromechanical-manufacturing full chain

Enable cross-border data compliance: meet Hong Kong Personal Data (Privacy) Ordinance (PDPO) and mainland cross-border data flow requirements, establish data masking, permission and audit mechanisms

Drive business insights: build operational metrics, equipment telemetry analysis, predictive maintenance and decision dashboards for agriculture, livestock, biological manufacturing and energy scenarios

Support pre-sales and delivery: output data solutions, POC validation, customer data integration standards, assist key project implementation

Promote data culture: establish data glossary, governance SOP, AI data asset catalogue, align business and technical teams on common data language

About you

Bachelor's degree or above in data science, statistics, computer science, software engineering or information systems

5+ years experience in data analysis, data governance or data platform (background in finance, technology, IoT, robotics or industrial internet preferred)

Familiar with data governance methodologies (DAMA / DCMM) with experience building governance frameworks from scratch

Technical stack: SQL required; Python preferred; familiar with at least two of Spark / Kafka / Airflow / dbt / K8s

Hands-on experience with data governance tools (Collibra / Informatica / DataHub / Amundsen or similar)

Understanding of large language model data pipelines (corpus cleaning, vector databases, RAG knowledge bases, sample version management, MLOps) preferred

Understanding of cross-border data compliance (PDPO / GDPR / mainland data export) and basic AI governance requirements

Bilingual English and Chinese communication; Cantonese preferred; able to interface with technical, business and customer stakeholders

Able to work in early-stage environment: build frameworks first, add tools progressively, deliver results with limited resources

About us

OMNIX AI is an AI model algorithm and embodied intelligent robotics company serving physical industry scenarios including smart agriculture, smart livestock, biological manufacturing and energy infrastructure. We have built our own robot hardware manufacturing factory. We are establishing a dual-city research and development system of Hong Kong Brain + Shenzhen Engine.

Hong Kong main contract with Hong Kong-Shenzhen dual-city collaboration

Participate in data asset construction from 0 to 1 in AI and robotics physical industry

Competitive salary plus performance bonus plus equity incentive (negotiable)

Visa and talent scheme application support (High Talent Pass / Talent / IANG as applicable)