{"id":38262,"date":"2025-10-21T22:16:05","date_gmt":"2025-10-21T21:16:05","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&#038;p=38262"},"modified":"2025-10-22T17:42:09","modified_gmt":"2025-10-22T16:42:09","slug":"patricia-maqetuka-chief-data-officer-nedbank","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/patricia-maqetuka-chief-data-officer-nedbank\/","title":{"rendered":"Patricia Maqetuka, Chief Data Officer, Nedbank"},"content":{"rendered":"<p><span data-contrast=\"auto\">Patricia Maqetuka is the Chief Data Officer at Nedbank, where she leads the bank\u2019s enterprise data strategy, governance, and innovation agenda. With a distinguished career spanning technology, analytics, and financial services, she is recognised for her ability to align data and digital transformation with strategic business outcomes.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">An experienced executive with deep expertise in analytical strategy, information technology, project portfolio management, managerial finance, and systems analysis, Patricia has held leadership roles that bridge the technical and commercial dimensions of data-driven organisations.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Patricia holds a Master\u2019s Degree in Technical Cybernetics and Automation from Technische Universit\u00e4t Dresden, a qualification that reflects her strong foundation in engineering and applied intelligence. Her technical background has underpinned a career marked by analytical rigour, innovation, and strategic foresight.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Before joining Nedbank, Patricia was recognised among IBM\u2019s Top 40 Women Business Pioneers in AI, highlighting her influence and leadership in advancing artificial intelligence and data innovation across Africa\u2019s business landscape.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Patricia Maqetuka is the Chief Data Officer at Nedbank, where she leads the bank\u2019s enterprise data strategy, governance, and innovation agenda. With a distinguished career spanning technology, analytics, and financial services, she is recognised for her ability to align data and digital transformation with strategic business outcomes.\u00a0 An experienced executive with deep expertise in analytical [&hellip;]<\/p>\n","protected":false},"author":277,"featured_media":38201,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"100-designation":[1429],"100-search-term":[1431],"class_list":["post-38262","100-alumni","type-100-alumni","status-publish","format-standard","has-post-thumbnail","hentry","100-designation-30-brands-2025-africa","100-search-term-2025-africa-brands"],"acf":{"sort":"","rank":"","forename":"Patricia ","surname":"Maqetuka","fullname":"Patricia Maqetuka","jobtitle":"Chief Data Officer","organisation":"Nedbank ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":38201,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-06-01 12:11:51","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"100-designation","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/38262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/100-alumni"}],"author":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/users\/277"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=38262"}],"version-history":[{"count":2,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/38262\/revisions"}],"predecessor-version":[{"id":38266,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/38262\/revisions\/38266"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/38201"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=38262"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=38262"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=38262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}