Work with partners to enable the generation of public health relevant information to provide timely actionable insights and improve decision-making to prepare for, avert, and respond to public health threats.

Responsibilities

• Collaborate with internal and external stakeholders to identify data requirements and design, create and implement data solutions that support business processes and needs.
• Analyze the data needs of the Department and stakeholders and evaluate and select data integration tools that are best suited for the needs.
• Analyze and optimize data storage and retrieval.
• Design, develop, evaluate, implement and maintain algorithms and methods for data mapping, transformation, processing, analysis and querying.
• Develop and implement data integration strategies, data models, data dictionaries, data standards and guidelines and data mapping processes to ensure data consistency, accuracy and alignment with departmental objectives.
• Identify areas for data quality improvements and work with stakeholders to implement solutions, while ensuring data privacy and security through appropriate security measures.
• Develop and maintain documentation of the data architecture, data integration strategies and data governance policies and procedures.
• Monitor and evaluate data management systems to ensure they are meeting business needs and complying with any relevant regulatory requirements.
• Advise on best practices and emerging trends in data management.
• Work with others on the team and subject matter experts to identify relevant data sources for integration into models and algorithms.
• Develop strategies for integrating and managing data across different sources and formats.
• Stay up-to-date with the latest developments in data systems, data federation and related technologies.
• Perform other related duties as assigned, including replacing and back stopping for others as required.

Skillset

• Advanced level university degree (Masters or higher) in Information Technology, Computer Science or related field AND certifications in technologies related to data modeling, data architecture, data transformation, data analytics and other relevant topics (e.g. CDMP, CAP).
• A minimum of 7 years of relevant professional experience in a data architect or similar role, designing and implementing data solutions in complex environments on an international scale.
• Demonstrated experience integrating and managing large volumes of data across different sources and formats.
• Demonstrated experience with data management, data modeling and data integration technologies.
• Demonstrated experience working with cloud and big data technologies.
• Demonstrated exposure working with a variety of stakeholders in complex international contexts involving technical, cultural and political elements.Ability to design and create data models that reflect business processes and needs.
• Strong skills in data integration techniques and tools to enable seamless transfer of data between systems.
• Extensive knowledge of data governance policies, procedures, and best practices for ensuring data accuracy, consistency, and security.
• Strong knowledge and expertise in the use of diverse large-scale database management systems.
• Strong knowledge of data warehousing concepts, including ETL (extract, transform, load) processes, data marts, and data warehouses.
• Strong skills with business intelligence and analytics tools and techniques for analyzing and interpreting large volumes of data to derive insights and inform decision-making.
• Strong knowledge of data security technologies and best practices for protecting sensitive and confidential data.
• Proficiency in programming languages such as Python, Java, or C++, and experience with scripting languages such as PowerShell or Bash (particularly for data wrangling).
• Strong knowledge of cloud computing platforms, such as AWS or Azure, and experience with cloud-based data storage and processing technologies.
• Strong communication, collaboration and project management skills.
• Deep understanding of data management principles and technologies.
• Excellent problem-solving, analytical, and critical thinking skills to design and implement effective data solutions.
• Ability to work independently and in a team environment.

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