Senior Data Engineer

3 weeks ago

Ho Chi Minh City, Vietnam GreenFeed Full time

**Senior Data Engineer**:
GreenFeed
- Ứng Tuyển

Database Python SQL
- Đăng nhập để xem mức lương
- 72 Tầng 22, tòa nhà Centec, Nguyễn Thị Minh Khai, P.6, District 3, Ho Chi Minh- Xem bản đồ- Tại văn phòng- 5 giờ trước

**3 Lý Do Để Gia Nhập Công Ty**:

- Top 100 Nơi làm việc tốt nhất tại Việt Nam
- Sản phẩm tạo giá trị bền vững cho cộng đồng.
- Thu nhập cạnh tranh & nhiều cơ hội thăng tiến

**Mô Tả Công Việc**:
**Report to**:CIO

The Head of Data establishes the organisation's data strategy and framework, fostering a culture of compliance to data privacy regulations. S/He is accountable for the quality, accessibility, analysis and management of data to inform business strategy, decision-making and drive performance. S/He designs initiatives and programs to realise the optimal business value derivable from the organisation's data assets. S/He formulates data project prioritisation and resourcing strategies and establishes performance measures to evaluate outcomes data solutions. S/He identifies potential intellectual property (IP) opportunities from analyses and insights from market intelligence reports, and advises the business on infringements against the organisation's IP related solutions. S/He creates a shared vision and objectives on the use of data in the organisation, building strategic relationships with key business and industry stakeholders to achieve business goals.

**RESPONSIBILITIES**:
**1. Establish data strategy**:

- Establish the organisation's data and AI strategy, data privacy policies, and the Ethics and Governance framework.
- Align data and AI strategy, priorities and plans of the data function to the organisation's vision and mission
- Formulate approaches to maximise the value of data analytics capabilities and technological investments for the organisation
- Develop strategies to ensure seamless integration of technologies with workflows and processes across the organisation
- Promote the adoption of industry leading practices and new data management technologies across the organisation

**2. Optimize business value from data**:

- Design data and AI driven initiatives to leverage the value of data assets in the organisation
- Advise the team on new and innovative tools and techniques to derive greater value from data
- Determine and showcase the potential value and impact of analytics and intelligent systems on existing business processes

**3. Formulate objectives and requirements from a business perspective**
- Formulate project prioritisation and resourcing strategies for AI and Data Science projects across the organisation
- Establish performance measures to evaluate data and AI initiatives, programmes, and value derived from effective data management
- Advise the team on new and innovative tools and techniques to derive greater value from data

**4. Manage intellectual property (IP) strategies, processes and procedures**
- Review emerging trends and intelligence, and analyse technology landscape reports and analyses to identify potential IP opportunities
- Oversee systems and processes to manage IP related to AI solutions and/or models

**5. Build strategic relationships**
- Develop a stakeholder management plan to create shared vision and objectives on the use of data and AI in the organisation
- Lead engagement initiatives with key leaders and senior stakeholders to obtain buy-in for data and AI initiatives
- Source for data analytics opportunities for the business and ensure data and indo compliance with business policies and external legal requirements

**6. Develop organisation's data capabilities**
- Develop strategies and plans to build capabilities within the Data and Artificial Intelligence function
- Drive talent management initiatives to attract, motivate and retain talent for Data Science and AI teams
- Ensure AI solutions and deployment is guided by organisation’s corporate values
- Lead succession planning and management for key leadership roles in the Data and Artificial Intelligence function

**7. Establish BI standards and governance**
- Develop standards, policies and procedures for the form, structure and attributes of the BI tools and systems
- Create long-term data governance initiatives that serve to improve data quality across all systems over time
- Provide guidance on best practices related to BI data governance

**8. Manage operations and BI resources**
- Review operational strategies, policies and targets across teams and projects
- Develop strategies for resource planning and utilization
- Establish performance indicators to benchmark effectiveness of learning and development programs against best practices
- Implement succession planning initiatives for key management positions

**9. Manage people and organization**
- Review operational strategies, policies and targets across teams and projects
- Develop strategies for resource planning and utilization
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