Chief Data Analytics Officer - Singapore - RP International Ltd

Description

My Client is seeking a highly skilled and experienced Chief Data Analytics Officer (CDAO) to lead a data management company's data analytics initiatives.

As the CDAO, you will be responsible for driving data-driven decision-making, developing strategies, and providing valuable insights to enhance our operational efficiency and business growth.

• Strategic Leadership: Develop and implement a comprehensive data analytics strategy aligned with our company's goals and objectives. Identify opportunities to leverage data analytics for competitive advantage and organizational success.
• Team Management: Lead and manage a team of data analysts, data scientists, and data engineers. Foster a collaborative and innovative environment, providing guidance and support to maximize team performance.
• Data Governance and Integrity: Establish and maintain robust data governance frameworks, ensuring data quality, integrity, and security. Define and enforce data management best practices and standards throughout the organization.
• Data Analysis and Insights: Oversee the execution of data analysis projects, utilizing advanced statistical techniques, machine learning algorithms, and other analytical tools. Extract actionable insights from large datasets to drive informed decisionmaking.
• Reporting and Visualization: Develop effective reporting mechanisms and interactive dashboards to communicate analytical findings to stakeholders. Present datadriven insights to senior management, enabling strategic decisionmaking.
• Collaboration and Integration: Collaborate with crossfunctional teams to understand their data needs and provide analytical support. Foster a datadriven culture and promote the integration of analytics into various business processes.
• Emerging Technologies: Stay uptodate with emerging trends and technologies in data analytics, machine learning, and artificial intelligence. Evaluate and recommend innovative tools and platforms to enhance our data analytics capabilities.
• Performance Measurement and Evaluation: Define key performance indicators (KPIs) and metrics to assess the effectiveness and impact of data analytics initiatives. Continuously monitor and evaluate project performance, ensuring alignment with organizational goals.

• Bachelor's or Master's degree in data science, computer science, statistics, or a related field. Advanced degrees are advantageous.
• Minimum of 12 yrs of experience and proven leadership experience in overseeing data analytics functions within a datadriven organization.
• Solid understanding of data management principles, data governance, and regulatory compliance.
• Proficiency in statistical analysis, data mining, and machine learning techniques.
• Strong programming skills in Python, R, or SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) and data analytics platforms.
• Excellent communication and presentation skills, with the ability to effectively convey complex analytical findings to nontechnical stakeholders.
• Strong leadership abilities and the capability to inspire and motivate teams.
• Strategic thinking and the ability to provide a clear vision for data analytics within the organization.
• Strong problemsolving skills and a resultsoriented mindset.