AVP/VP – Regional Data Architect $1-1.5M Urgent

Job description

• Develop and implement an overall organizational data strategy that is in line with business processes. This strategy must include data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
• Identify data sources, both internal and external, and working out a plan for data management
• Decide how our data is captured, stored, processed, consumed, integrated, secured, reported on, and managed by business teams and technology systems.
• Coordinate and collaborate with cross-functional teams, stakeholders, and vendors for the enterprise data system.
• Plan and execute a big data solution using standard and state-of-the-art technologies.
• Manage end-to-end data architecture, selecting the platform, designing the technical architecture, and governing the development of the application.
• Integrating technical functionality, ensuring data accessibility, accuracy, and security.
• Create and maintain a range of architecture documents including architectural designs, business glossaries, data catalogues, data flow diagrams, data models, data profiling, governance and monitoring controls, interface designs, message definitions, process maps, reporting specifications, security group definitions, traceability matrices, quality rules, and more.
• Conduct a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.
• Ensure the Data Architecture aligns with Enterprise Architecture roadmaps and adheres to Enterprise Architecture principles.
• Provide peer-review leadership for other Architects in the wider team.
• In addition to Data Architect responsibilities, also consistently approach problems with an open mind and challenge to ensure appropriate pragmatic clean designs.

• Collaborate with non-technical business users.
• Designing data infrastructure to meet business needs. Determining the cost implications of various solution options.
• Developing plans to show how options will work and discussing these in an understandable way.
• Continuously improving data infrastructure
• Adhering to security and regulatory compliance norms
• Working with a team and working with third party suppliers
• Defining data governance policies

• Highly desirable to have soft skills like effective communication, team management, problem-solving, and leadership.
• Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques
• Proficiency in data modelling and design, including SQL development and database administration.
• Understanding of predictive modelling, NLP and text analysis, artificial intelligence (AI) and its subsets.
• Problem-solving and critical thinking capabilities
• Metadata management skills