{"id":40341,"date":"2026-01-27T17:30:07","date_gmt":"2026-01-27T17:30:07","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&#038;p=40341"},"modified":"2026-03-02T17:20:55","modified_gmt":"2026-03-02T17:20:55","slug":"gavin-goodland-chief-data-officer-national-grid-2","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/gavin-goodland-chief-data-officer-national-grid-2\/","title":{"rendered":"Gavin Goodland, Chief Data Officer, National Grid"},"content":{"rendered":"<p><span data-contrast=\"none\">Gavin Goodland is Chief Data Officer at National Grid, where he leads the organisation\u2019s data strategy and capability to support decision-making,\u00a0performance\u00a0and long-term transformation.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">His career has consistently\u00a0operated\u00a0at boundaries\u00a0between business and technology, disciplines, geographies,\u00a0and operating models. Gavin began his professional journey in geoscience, working with diverse data types that required integration,\u00a0analysis,\u00a0and judgement to inform real-world decisions. That experience shaped a lasting perspective: data only creates value when it is clearly linked to the problem being solved and trusted by those expected to act on it.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Over more than two decades, Gavin has built a global\u00a0track record\u00a0as a digital and data leader, driving large-scale transformation across energy, government,\u00a0and service sectors. He has led major programmes involving real-time and safety-critical data, designed enterprise technology\u00a0and data strategies, and established governance models that balance pace,\u00a0control,\u00a0and accountability. His work is characterised by a focus on performance improvement, sustainable outcomes and practical value from data and technology.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Gavin&#8217;s\u00a0expertise\u00a0spans data engineering, analytics, governance, enterprise\u00a0architecture,\u00a0and business model innovation. Internationally, he has worked across the US, Russia, Venezuela, the UK,\u00a0and Europe, bringing a strong commercial lens alongside a commitment to long-term resilience.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">At National Grid, Gavin\u2019s focus is on ensuring colleagues have the confidence, capability,\u00a0and trusted data they need to make decisions at pace, grounding advanced data and AI opportunities in clarity of purpose and real operational impact.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h3><b><span data-contrast=\"none\">As a data and AI leader, which traits and skills do you think matter most, and which of those have been most influential for you in your current position?<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">\u201cStrategy, simplification, engagement, motivation, commercial\u00a0acumen,\u00a0and the ability to keep calm in raging seas.\u201d<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<h3><b><span data-contrast=\"none\">Reflecting on your career, what is one non-traditional piece of advice (outside of technical skills) you would give to an aspiring data or AI leader aiming for the C-suite?<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/h3>\n<p><span data-contrast=\"none\">\u201cUnderstand how the business makes money and how that flows around the organisation. Understand who are the customers and what do they think about your business.\u201d<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Gavin Goodland is Chief Data Officer at National Grid, where he leads the organisation\u2019s data strategy and capability to support decision-making,\u00a0performance\u00a0and long-term transformation.\u00a0 His career has consistently\u00a0operated\u00a0at boundaries\u00a0between business and technology, disciplines, geographies,\u00a0and operating models. Gavin began his professional journey in geoscience, working with diverse data types that required integration,\u00a0analysis,\u00a0and judgement to inform real-world decisions. [&hellip;]<\/p>\n","protected":false},"author":19,"featured_media":31430,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"100-designation":[1454],"100-search-term":[1456],"class_list":["post-40341","100-alumni","type-100-alumni","status-publish","format-standard","has-post-thumbnail","hentry","100-designation-100-brands-2026-europe","100-search-term-2026-europe-brands"],"acf":{"sort":"","rank":8,"forename":"Gavin","surname":"Goodland","fullname":"Gavin Goodland","jobtitle":"Chief Data Officer","organisation":"National Grid ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":31430,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-05-27 07:35:17","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\/40341","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\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/comments?post=40341"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40341\/revisions"}],"predecessor-version":[{"id":41361,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40341\/revisions\/41361"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/31430"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=40341"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=40341"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=40341"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}