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Head of Data Operations

1 week ago


Kuala Lumpur, Kuala Lumpur, Malaysia Ørsted Full time

About Ørsted's Engineering Digitalisation Department

The Engineering Digitalisation Department at Ørsted is responsible for driving digital transformation across the organisation, focusing on data-driven decision-making and innovative solutions. As a Senior Data Manager, you'll be part of this dynamic team, contributing to the development and implementation of data strategies, governance frameworks, and data management plans.

You'll work closely with engineers, project managers, and stakeholders to deliver insights, support decision-making, and drive business outcomes. Your expertise in data governance, cloud storage administration, and data pipeline design will be instrumental in shaping our data management capabilities and driving organisational success.

Your Key Responsibilities:

  1. Data governance: Establish and maintain data governance frameworks, ensuring data quality, integrity, and security.
  2. Cloud storage administration: Administer cloud storage solutions, influencing storage adaptation and optimising data storage configurations.
  3. Data pipeline design: Design and implement data pipelines for various teams, leveraging expertise in engineering data types.
  4. Data strategy development: Develop data management plans, identifying data gaps and implementing data governance frameworks.

What You'll Need to Succeed:

  1. Data governance and governance frameworks: Understand data governance principles and develop effective governance frameworks.
  2. Cloud storage administration: Possess experience in administering cloud storage solutions and influencing storage adaptation.
  3. Data pipeline design: Demonstrate expertise in designing and implementing data pipelines for various teams.
  4. Data strategy development: Develop data management plans, identifying data gaps and implementing data governance frameworks.
  5. Data structures and technologies: Have in-depth knowledge of databases, cloud storage, and data management technologies.