Associate Director - Enterprise Data Analytic Platform Operation
Associate Director - Enterprise Data Analytic Platform Operation
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Job Description
Data Management:
Manage and maintain data infrastructures ensuring data integrity accuracy and accessibility.
Develop and implement data governance policies and procedures to ensure compliance with regulatory requirements.
Oversee data collection storage and retrieval processes ensuring data quality and consistency.
Analytics:
Collaborate with crossfunctional teams to identify data and analytics needs and develop solutions to support business objectives.
Design and implement advanced analytics models and algorithms to uncover insights and drive decisionmaking.
Utilize data visualization tools to create reports and dashboards that effectively communicate findings to stakeholders.
Cloud Technologies:
Manage cloudbased data platforms (e.g. AWS Azure Google Cloud) ensuring optimal performance and scalability.
Implement best practices for cloud data storage security and cost management.
Coordinate with IT and other departments to integrate new cloud technologies and tools into existing systems.
Financial Operations (FinOps):
Monitor and optimize cloud spending ensuring costeffective use of resources.
Develop and implement financial management practices for cloud operations.
Provide regular financial reports and insights to stakeholders helping to drive budgetary decisions.
Data & Analytics Platforms:
Manage and optimize data & analytics platforms to ensure they meet the needs of the business.
Maintain and enhance platform capabilities to support data integration processing and analysis.
Ensure the platforms are scalable secure and compliant with industry standards and regulations.
Production Support:
Provide ongoing support for data and analytics platforms in a production environment.
Monitor system performance troubleshoot issues and implement fixes to ensure minimal downtime.
Develop and maintain documentation for production support processes and procedures.
Coordinate with IT and other departments to ensure timely resolution of production issues.
Operations:
Optimize data and analytics workflows to improve efficiency and reduce operational costs.
Monitor and troubleshoot data pipelines and analytics platforms ensuring seamless operation and minimal downtime.
Coordinate with IT and other departments to integrate new technologies and tools into existing systems.
Data Leadership:
Provide strategic direction for data management and analytics initiatives aligning with organizational goals.
Mentor and train team members on data best practices tools and technologies.
Foster a culture of datadriven decisionmaking within the organization.
Lead datafocused projects and initiatives ensuring successful implementation and adoption.
Data and AI:
Implement and manage AI and machine learning models to enhance data analytics capabilities.
Leverage AI tools and techniques to automate data processes and generate predictive insights.
Stay updated on the latest advancements in AI and machine learning and apply them to relevant business challenges.
Collaborate with data scientists and AI specialists to integrate AI solutions into existing data platforms.
Risk and Compliance:
Ensure data management and analytics practices comply with relevant regulations industry standards and corporate policies.
Develop and implement risk management strategies to mitigate potential datarelated risks.
Conduct regular audits and assessments to identify and address compliance gaps.
Collaborate with legal compliance and security teams to ensure data protection and privacy.
Maintain uptodate knowledge of regulatory changes and their impact on data management practices.
Collaboration & Communication:
Work closely with stakeholders to understand their data analytics and financial requirements and provide actionable insights.
Communicate complex data concepts in a clear and concise manner to nontechnical audiences.
Foster a culture of datadriven decisionmaking within the organization.
Remote Work :
No
Employment Type
Full Time
