General Manager, Data Analytics

4 days ago

india Agensi Pekerjaan Executive Recruiters Sdn Bhd Full time
Job Description
1. Data Strategy and Governance:
Thorough Understanding: Develop a deep understanding of the business and data strategy.
Designing and Implementing Data Strategies: Create and implement data strategies and systems that align with the organization’s goals.
Data Governance: Overseeing the collection, storage, management, quality, and protection of data.
2. Leadership and Collaboration:
Team Management: Leading, motivating, and managing technical teams.
Collaboration: Working closely with other C-suite executives, especially the Chief Digital and Technology Officer (CDTO) and senior business stakeholders.
3. Data Utilization and Business Outcomes:
Driving Business Outcomes: Drive use-cases and utilization of data to deliver business outcomes, beyond just governance and compliance.
Data Analytics: Implementing proper data analytics to identify pain points throughout the business process, thereby increasing profit and stakeholder trust.
Responsible for creating a data management system, fosters a culture of data sharing, and leverages analytics to improve business outcomes, playing a crucial role in shaping an organization’s data-driven future.
Requirements
  • A bachelor’s degree in a relevant field such as Computer Science, Data Science, Statistics or related field.
  • Additional certification in the field data analytics, machine learning and AI is an added advantage. Leadership Experience: Significant experience in leadership roles, preferably within data management, analytics, or technology.
  • Data Management: Proven track record in data management, governance, and strategy.
  • Industry Knowledge: Familiarity with the property development industry is an added advantage.
  • Data Analytics and Machine Learning: Proficiency in data analytics tools, machine learning, and statistical analysis in major cloud platforms eg. Azure, AWS, Google.
  • Database Management: Knowledge of database systems (SQL, NoSQL, etc.).
  • Big Data Technologies: Understanding of big data technologies (Hadoop, Spark, etc.).
  • Communication: Excellent communication skills to collaborate with various teams and stakeholders.
  • Strategic Thinking: Ability to align data initiatives with overall business strategy.
  • Change Management: Drive mindset/cultural change within the organization.
  • Certified Data Management Professional (CDMP): Similar or relevant certifications is a bonus.
  • Other Industry-Specific Certifications: Certifications related to data privacy, security, or compliance is beneficial.
  • Understanding of business processes, revenue models, and customer needs.
  • Ability to translate data insights into actionable business decisions.
  • The GMDA should have a blend of technical expertise, leadership skills, and business acumen to drive successful data initiatives.

Requirements
Data Management: Proven track record in data management, governance, and strategy. Industry Knowledge: Familiarity with the property development industry is an added advantage. Data Analytics and Machine Learning: Proficiency in data analytics tools, machine learning, and statistical analysis in major cloud platforms eg. Azure, AWS, Google. Database Management: Knowledge of database systems (SQL, NoSQL, etc.). Big Data Technologies: Understanding of big data technologies (Hadoop, Spark, etc.). Communication: Excellent communication skills to collaborate with various teams and stakeholders. Strategic Thinking: Ability to align data initiatives with overall business strategy. Change Management: Drive mindset/cultural change within the organization. Certified Data Management Professional (CDMP): Similar or relevant certifications is a bonus. Other Industry-Specific Certifications: Certifications related to data privacy, security, or compliance is beneficial. Understanding of business processes, revenue models, and customer needs. Ability to translate data insights into actionable business decisions. The GMDA should have a blend of technical expertise, leadership skills, and business acumen to drive successful data initiatives.

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