To be the owner of the Information management strategy ensuring the design, creation, deployment and management of the organization's data. You will define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way aligning with overall business architecture where necessary. This role will be responsible for setting the data architecture strategy & vision and for managing day-to-day tactical operations of the BI team.
Strategic Roles and Responsibilities
Liaise with relevant parties to define the overall vision, strategy and principles for business intelligence and data management
Maintains and communicates organization s information management strategy.
Reviews new business proposals and provides specialist advice on information management, including advice on and promotion of collaborative working, assessment and management of risk.
Responsible for ensuring compliance with organization s policies and procedures and overall information management strategy.
Define and document the overall data architecture for custom BI application.
Design, develop and deliver the data architecture roadmap and data strategy.
Defines and implements the strategy roadmap for enterprise data, implementation and data management for new data sources, publicly available data, business-to-business partnerships and advanced Data Analytics systems.
Recognize and identify potential areas where existing policies and procedures require change, or where new ones need to be developed, especially regarding future business expansion.
Understand transactional business requirements and translate them to the strategic enterprise data and process models.
Keep up to date with changes in the industry, and suggest improvements to the data strategy and data roadmap.
Ensure industry specific changes are communicated to remain on top of data/BI developments.
Functional Roles and Responsibilities
Works closely with stakeholders to understand how data is, or will be, used and the implication on people, processes, products and technology. Collaborates with data consumer representatives and data solution development, integration and governance teams.
Engage with key stakeholders and translate business requirements into technical specifications.
Be confident in presenting data architecture and strategy to both and IT and the wider business.
Create & maintain data architecture, data management standards and conventions, data naming standards, and metadata standards.
Perform a key management and thought leadership role in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, text mining, data discovery, statistical methods, database design and implementation.
Maintains an inventory of information subject to data protection and other appropriate legislation.
Lead the development of scalable data architecture for all of the BI data assets, including operational data stores and the Enterprise Data Warehouse (EDW).
Develop and maintain conceptual, logical and physical data models.
Lead logical data model workshops with business users to derive at a logical data model that correctly reflects the business
Leading the development in line with legislative requirements and the implementation of data governance policies and practices within to protect organization as an operating entity.
Lead the documentation and standardization of new/existing architecture processes and data standards to ensure appropriate use and maintenance in line with quality standards.
Devises and implements document and record management systems, including classification, retrieval and retention processes.
Conceptual understanding on the emerging BI technologies, Bigdata, IOT are an added advantage.
Lead the design and subsequent management of a centralized BI center of excellence, ensuring alignment with the overall strategy and quality standards.
Oversee the development of Source-to-Target Mappings for data flowing into the BI Platform using ETL tool frameworks.
Implement a Data Quality discipline for transactional and multi-dimensional reporting, across all responsible systems, to ensure confidence when analyzing BI data to drive business decisions as well as ensuring overall alignment.
Maintain and improve technical knowledge through research of emerging technologies in order to recommend technologies that will enhance business intelligence and IT data management in line with industry standards and cost efficiencies.
Develop and execute test plans to check the business intelligence and IT data management performance
Desired Candidate Profile
Minimum of Bachelor s Degree (Computer Science, Mathematics, Statistics, Industrial Engineering.
Advanced degree in Applied Mathematics, Business Analytics, Statistics, Machine Learning, Computer Science or related fields is a plus.
Years of Experience
A minimum of 6-8 years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated.
Extensive expertise in Oracle/MySQL database, as well as data modeling, both logical and physical
Demonstrated experience or working knowledge of an Enterprise architecture tool, such as: Orbus iServer, Sparx EA or IBM Rational