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Data & AI Manager

Salary undisclosed

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Key Accountabilities :

  • Develop and implement the overall data strategy, including analytics, data science, and engineering initiatives, aligned with the organization's goals.
  • Provide leadership and guidance to Data Analytics, Data Science, and Data Engineering teams.
  • Oversee the collection, analysis, and interpretation of data to generate actionable business insights.
  • Ensure the accuracy and reliability of data used for decision-making.
  • Collaborate with cross-functional teams to deliver data-driven insights.
  • Drive the development of advanced analytics models and machine learning solutions to support predictive and prescriptive analytics.
  • Identify opportunities for automation and process improvement through data science techniques.
  • Ensure the data infrastructure is scalable, secure, and optimized for data collection, storage, and processing.
  • Collaborate with IT to ensure data governance and compliance with security and privacy regulations.
  • Mentor and develop team members in Data Analytics, Data Science, and Data Engineering.
  • Foster a culture of continuous improvement and innovation in data practices.
  • Encourage knowledge sharing and collaboration across teams.

Requirements :

  • Minimum Bachelor degree in Computer Science / Math / Statistic / other relevant major
  • sProfessional Certification in Technology / Data Analytic
  • sMin. 7+ years of working experience
  • Have knowledge about data Strategy Development, Advanced Data Analytics, Data Science and Machine Learning, Data Engineering and Infrastructure and also Artificial Intelligence
  • Have skill about Data Visualization Tools, Programming Skills (Python, R, SQL), Big Data Technologies (Hadoop, Spark, Kafka), Data Governance and Compliance, Business Acumen, Project Management and Stakeholder Management
  • Have experience leading a team

Key Accountabilities :

  • Develop and implement the overall data strategy, including analytics, data science, and engineering initiatives, aligned with the organization's goals.
  • Provide leadership and guidance to Data Analytics, Data Science, and Data Engineering teams.
  • Oversee the collection, analysis, and interpretation of data to generate actionable business insights.
  • Ensure the accuracy and reliability of data used for decision-making.
  • Collaborate with cross-functional teams to deliver data-driven insights.
  • Drive the development of advanced analytics models and machine learning solutions to support predictive and prescriptive analytics.
  • Identify opportunities for automation and process improvement through data science techniques.
  • Ensure the data infrastructure is scalable, secure, and optimized for data collection, storage, and processing.
  • Collaborate with IT to ensure data governance and compliance with security and privacy regulations.
  • Mentor and develop team members in Data Analytics, Data Science, and Data Engineering.
  • Foster a culture of continuous improvement and innovation in data practices.
  • Encourage knowledge sharing and collaboration across teams.

Requirements :

  • Minimum Bachelor degree in Computer Science / Math / Statistic / other relevant major
  • sProfessional Certification in Technology / Data Analytic
  • sMin. 7+ years of working experience
  • Have knowledge about data Strategy Development, Advanced Data Analytics, Data Science and Machine Learning, Data Engineering and Infrastructure and also Artificial Intelligence
  • Have skill about Data Visualization Tools, Programming Skills (Python, R, SQL), Big Data Technologies (Hadoop, Spark, Kafka), Data Governance and Compliance, Business Acumen, Project Management and Stakeholder Management
  • Have experience leading a team