Senior Manager, Operations Data

Job Description

You will be working in a fast-paced and highly volatile environment that requires you to collaborate closely with internal and external stakeholders to provide data analysis and technical support. 

•    Provide strategic guidance on data analysis and data engineering initiatives, ensuring alignment with organisational goals and objectives. 
•    Manage a team to conduct in-depth data analysis to provide meaningful data-driven insights/ trends to support strategic decision-making within the organization.
•    Collaborate with strategic stakeholders and operational teams to understand data requirements and ensure the successful delivery of data analysis projects.
•    Supervise the creation of data visualizations, dashboards, and reports to effectively communicate insights and findings to stakeholders at all levels.
•    Manage a team on data sourcing, processing, and integration of data to deliver a unified and comprehensive dataset for analysis and decision-making.
•    Drive the development and implementation of data analysis methodologies, tools, and best practices to enhance the quality and efficiency of data analysis processes.
•    Supervise the development and implementation of data quality and metadata management processes to enhance the accuracy and reliability of our data assets.
•    Drive the adoption of best practices in data engineering, including data governance, data quality, and data security.
•    Provide leadership and mentorship to the team, fostering a culture of continuous learning and innovation.

Job Requirements 

•    Degree in any discipline, preferably in the Healthcare industry.
•    At least 12 years of related working experiences, with at least 4 years in supervisory role.
•    Experience in data analytics, including data wrangling, analysis, visualisation with strong knowledge in data structures and mining algorithms.
•    Knowledge in statistical learning, machine learning and probabilistic models will be advantageous.
•    Good communication skills, both written and verbal.
•    Pro-active, quality conscious, attentive to details and results oriented.
•    Good team player, able to work under pressure and deliver results under tight timelines.