Associate Director - Enterprise Data & Analytic Platform Operation

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 cross-functional 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 decision-making.

Utilize data visualization tools to create reports and dashboards that effectively communicate findings to stakeholders.

Cloud Technologies :

Manage cloud-based 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 cost-effective 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 data-driven decision-making within the organization.

Lead data-focused 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 data-related 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 up-to-date 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 non-technical audiences.

Foster a culture of data-driven decision-making within the organization.