Job details
Requirements
- Candidate should hold a bachelor’s degree in computer science, Management of Information System, Information Technology, Information Management or other relevant qualification, from a recognized and approved institution. An advanced degree is preferred.
- Relevant Certifications will be preferred.
- Candidate should have experience in a major organization, with large-scale data management and oversight experience.
- Candidate must have knowledge of industry leading data quality and data protection management practices and should possess knowledge of data related governance regulatory requirements and emerging trends and issues.
- Candidate must have experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies.
- Candidate should also have knowledge of risk data architecture and should be able to demonstrate consulting skills, with change management concepts and strategies, including communication, culture change and performance measurement system design.
- Demonstrate an active role in designing the data and enterprise architecture.
- Manage the Corporate Data Architecture Reference Model.
- Develop & maintain the Corporate Conceptual Data Model, ensuring continued scalability, and alignment with business requirements.
- Work with all stakeholders to gather solution requirements and propose architecture decisions.
- Define & maintain the Corporate Data Domains and associated taxonomies.
- Own and curate the Data Architecture Corporate standards.
- Assist in the facilitation of company’s existing data quality standards and adoption requirements across the company.
- Shape enterprise data architecture design patterns, design principles and best practices enhancing business solution delivery.
- Define and manage the flow of data and dissemination of information within the Corporate Data Office’s platforms and services.
- Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements.
- Assist in selecting data management tools and developing the standards, usage guidelines, and procedures for using those tools.
- Manage end-to-end data architecture within the Office, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution in conjunction with stakeholders and data engineers.
- Assist in identifying appropriate data sourcing and extraction processes, and in identifying and nominating sources as systems of record for data usage in various applications.
- Identify new business opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace / represent data as a strategic business asset at the Digital Transformation Officer and Senior Management levels.
- devops: 10 years (Preferred)
- python: 10 years (Preferred)
- sql: 10 years (Preferred)
- machine learning: 10 years (Preferred)
- data warehouse: 10 years (Preferred)
- databricks: 10 years (Preferred)
- datalake: 10 years (Preferred)
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Hiring company
Javin Global
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