Senior Data Engineer

1 week ago

Ho Chi Minh City, Ho Chi Minh, 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 buyin 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 longterm 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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