RESPONSIBILITIES<\/p>\n
Manage data governance:<\/p>\n
\tDevelop, manage, and update data quality and governance standards, ensuring that these cater adequately to the security, integrity, and useability of data throughout the Plennegy Group\u2019s data ecosystem and are widely disseminated and well understood by users.
\n\tEngage with cross-functional business stakeholders to establish the adoption of data governance definitions, policies, and procedures to ensure continual alignment around the development, maintenance, access, use, security, retention, and retirement of information (data) assets.
\n\tIdentify areas for data quality improvements and helps to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process re-design strategies.
\n\tKeep an up-to-date metadata dictionary, ensuring ERPs and Add-Ons are locked down so that no unauthorized data fields may bypass the metadata dictionary.
\n\tCreate, maintain, and facilitate access to metadata, including the development and ongoing review of naming standards, data definitions and aliases, and the documentation of data domains, mappings, schemas, and other primary key attributes.
\n\tResponsible for indexing data warehouses and business glossaries for all data sources.
\n\tManage data access in line with data classification and governance standards, putting in place and enforcing the authorization and authentication of users and data access levels.
\n\tInformation life-cycle management, defining and implementing policies to manage the operational management of data in the Plennegy Group ecosystem (from ingestion to storage, to processing and onward transmission).
\n\tCreate and maintain data flow diagrams (view of flow between systems and processes).
\n\tManage sources of referenced information for both internal and external service providers.
\n\tAdhering to published data standards and POPIA, PAIA regulations when sharing data with an external party.<\/p>\n
Construct Master Data Framework:<\/p>\n
\tElicit master data requirements from all business units in the Plennegy Group.
\n\tUnpack intercompany similarities and ensure additional data requirements are included with SOPs and internal SLAs.
\n\tEnsure the accepted framework is documented and well communicated to all business units and data users.
\n\tEarmark master data champions in each business unit and department, reduced workload.
\n\tKeep a master data champion list up to date, with staff changes and conduct ongoing training for these champions.
\n\tMaintain a list of data owners (department process owners), data custodians (data champions for the department), and authorized users of data (internal and external).<\/p>\n
Master Data Creation (New):<\/p>\n
\tConstruct an internal Service Level Agreement (SLA) between the various business units, as data owners, and the stewardship services rendered.
\n\tCommunicate, agree, follow, and keep up to date such SLA, incorporated into data policies.
\n\tAction, within the allocated turnaround time, each request for new master data.
\n\tAdherence to all business rules around data normalization and authorization levels.<\/p>\n
Master Data Maintenance (Ongoing):<\/p>\n
\tProactively champion the value of useful information as a strategic business asset and revenue generator by providing the organization guidance, and oversight for establishing and maintaining principles, role definitions, responsibilities, standards, procedures, and accountability for information (data) stewardship.
\n\tLead development and execution of multi-year business plans that address current and emerging information demands, collaborating with other capability owners to drive maturity.
\n\tOwn and drive various mass data cleansing projects that would involve correcting inaccurate data, filling missing data, merging duplicates, and building account hierarchy relationships or Enterprise Relational Diagrams (ERD).
\n\tActively seeks new technologies to streamline and automate manual data management processes; reviews current technology solutions and makes recommendations based on a good fit with the Plennegy Group\u2019s strategic data vision.
\n\tDefine and implement a collaborative approach for proactive monitoring, detecting, assessing, and cleansing data quality issues to ensure fitness for the intended use and sustained high quality.
\n\tFollow the strategy, develop a roadmap, and manage the backlog and end-user support for the application platforms for data governance, data quality monitoring, and master data management capabilities.
\n\tAdhere to the protection of personal information (POPI) act related to the collection, storage, usage, and destruction of data subject information.
\n\tShare data only with authorized staff and capture who data is shared with, the date shared, and for what purpose.
\n\tEnsure benefits realization and lessons learned are documented and embedded into subsequent planning cycles and activities.
\n\tPartner with Business Analysts and IT staff in requirements gathering and reviews.<\/p>\n
\u00a0\u00a0Master Data Retirement (Dormant):<\/p>\n
\tTechnical support and reports to be generated for data owners\/custodians to effectively manage existing retention rules and retention criteria (deletion of redundant data).
\n\tConduct data cleaning to rid the system of old, unused data, or duplicate data for better management and quicker access.<\/p>\n
User Training and Data Awareness:<\/p>\n
\tFollow a \u201cCentre of Excellence\u201d approach to user training, data assist, best practice guide, usage upskill, and knowledge share with users.
\n\tShowcase positive output data results by way of end-user reporting using either BI dashboard, various inhouse reports, ERPs, or any other data platform.
\n\tEngage with business users on a digital data transformation journey.
\n\tEncourage data literacy by ensuring data users fully understand and appreciate data and its functions before use.
\n\tBusiness user empowerment leads to the discovery and writing metadata into a centralized and easily searchable data catalogue or metadata dictionary, as part of knowledge sharing.<\/p>\n
\u00a0General:<\/p>\n
\tDocument all master data Standard Operating Procedures (SOPs) in accordance with good governance policies and practice.
\n\tSOPs should include adequate data protection in accordance with POPIA, PAIA, and any other data laws that apply.
\n\tSubmit SOPs for review, signage, communication to relevant business units, and store in a central e-filing location, as decided by the business or Group IT.
\n\tUpdate as and when needed, ensuring to keep business units informed of such changes.
\n\tRemain cognisant of the Plennegy Group\u2019s short, medium, and long-term Data Strategy and continue working toward these goals and objectives.
\n\tAttention to detail, good governance, process, and procedure bound behaviour and a forward focused data science approach, should be adhered to at all times.
\n\tMaintain a high level of responsibility and integrity when dealing with matters of a confidential nature.
\n\tProvide implementation and execution support of data policies and procedures, especially during approved IT projects.<\/p>\n
REQUIREMENTS<\/p>\n
Education:<\/p>\n
\tMin:\u00a0 Diploma \/ Certificate in data governance (DAMA)
\n\tIdeal: Bachelor’s Degree<\/p>\n
go to method of application \u00bb<\/p>\n
Apply via company website ( N \/ A ) or<\/p>\n
<\/p>\n","protected":false},"author":2,"featured_media":0,"template":"","meta":{"_promoted":"","_job_location":"","_application":"","_company_name":"Plennegy Group","_company_website":"http:\/\/N%20\/%20A","_company_tagline":"Founded in 1958, the Plennegy group\u2019s roots and purpose revolve around agriculture, with its core business being that of growing food and servicing those that grow food to feed and nourish the continent and beyond. Plennegy\u2019s established infrastructure and grouping of industry experts ensure ... read morethe quality and precision of its activities, products and services.","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"","_job_salary_unit":""},"job_listing_region":[11],"job-types":[12],"class_list":{"0":"post-11438","1":"job_listing","2":"type-job_listing","3":"status-expired","4":"hentry","5":"job_listing_region-gauteng","7":"job-type-full-time"},"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/jobs.dataaxisnode.com\/southafrica\/wp-json\/wp\/v2\/job-listings\/11438","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jobs.dataaxisnode.com\/southafrica\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/jobs.dataaxisnode.com\/southafrica\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/southafrica\/wp-json\/wp\/v2\/users\/2"}],"wp:attachment":[{"href":"https:\/\/jobs.dataaxisnode.com\/southafrica\/wp-json\/wp\/v2\/media?parent=11438"}],"wp:term":[{"taxonomy":"job_listing_region","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/southafrica\/wp-json\/wp\/v2\/job_listing_region?post=11438"},{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/jobs.dataaxisnode.com\/southafrica\/wp-json\/wp\/v2\/job-types?post=11438"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}