Data Governance & Security:

·       Implementation of procedures, guidelines and standards to ensure alignment and compliance to corporate governance policies, protocols and practices regarding the responsible use and distribution of data

·       Overseeing data access and ensuring usage policies are understood and approved

·       Involvement in data integration, migration & data cleansing

·       Engaging with data custodians and IT architects during data classification exercises 

·       Approval of data-retention and data archiving criteria

Data Quality:

·       Establishing procedures for the detection, correction and prevention of data-quality issues

·       Recommending solutions to data challenges and achieving compromises that enhance the use and management of data across the Food group

·       Collaborating with stakeholders to resolve issues or obstacles affecting the quality of data

·       Engaging through Centres of Excellence (COEs) and leadership channels to define data quality control mechanisms (establishing KPI’s to drive data quality, for example)

·       Establishing data management monitoring capabilities (incl. dashboards and/or reports) that can be used to monitor, measure and drive better behaviour

·       Data profiling and validation of data in terms of the expected data quality requirements

·       Data support during analysis and testing phases (where relevant)

Meta Data & Data Definition Management:

·       Definition and maintenance of business measure definitions and rules; requiring engagement with stakeholders to agree on common definitions and calculations of analytic and reporting data

·       Enhancing and maintaining a meta data repository for relevant/critical data elements

·       Serve as the subject matter expert (SME) for Food to answer metadata requests (access and interpretation) for business metadata

Other Supporting Processes

·       Project integration for data management assessment and risk (including data quality)

·       Partner with our learning academy to train elements of data literacy related to understanding data

·       Work alongside BI analysts and technical specialists to analyse, define, source and model the data required by the Food group for reporting and analytics

·       Identify and understand gaps related to the availability/accessibility of critical data elements (current and future) and develop strategies to address

·       Validation of business rule conformance in calculations and data aggregations

·       Manage any changes to data definitions, usage, access, policies, and administration in compliance with data governance standards and practices across the Food group