{"id":40347,"date":"2026-01-27T17:33:28","date_gmt":"2026-01-27T17:33:28","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&#038;p=40347"},"modified":"2026-02-04T14:41:02","modified_gmt":"2026-02-04T14:41:02","slug":"helen-blaikie-chief-data-and-analytics-officer-aston-university-2","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/helen-blaikie-chief-data-and-analytics-officer-aston-university-2\/","title":{"rendered":"Helen Blaikie, Chief Data and Analytics Officer, Aston University"},"content":{"rendered":"<p><span data-contrast=\"none\">Helen Blaikie is Chief Data and Analytics Officer at Aston University, where she leads the institution\u2019s data and analytics agenda.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">She began her career in finance as an accountant at Shell and progressing through senior finance leadership roles across energy,\u00a0retail,\u00a0and manufacturing. Driven by a curiosity to understand what sits behind performance, Helen moved beyond traditional finance into commercial, strategy and business leadership roles, including leading sales teams and business development at Michelin. These roles gave her first-hand experience of how decisions are made, how incentives shape outcomes and why insight only matters if it changes behaviour.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">For more than 15 years, data has been a central part of Helen\u2019s leadership remit, long before data roles were formally\u00a0established. She made a deliberate decision to step away from established finance directorship pathways to focus fully on Chief Data and Analytics Officer roles, bringing together commercial acumen, strategic\u00a0thinking,\u00a0and cultural change.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">At Aston University, Helen built the data and analytics function from the ground up, aligning it closely to the University\u2019s long-term strategy. Her approach positions data leadership as a business leadership discipline rather than a technical one, focused on value creation,\u00a0trust\u00a0and sustained impact, with technology acting as an enabler.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Helen is known for her ability to communicate the value of data to diverse stakeholders, secure executive sponsorship and drive cultural change. Her career reflects a consistent focus on aligning strategy with execution and using data to influence decisions that matter.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&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\">\u201cThe most important trait for effective data and AI leadership is a deep understanding of business context. Without it, even the most technically impressive solutions struggle to deliver value. Data leaders must be relentlessly curious,\u00a0asking the right questions, understanding the real problem, and being clear about what success looks like.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">\u201cInfluence is equally critical. Data and AI leaders spend much of their time working through others, often without direct authority. The ability to communicate clearly, tell compelling stories with data, and articulate \u201cwhat\u2019s in it for them\u201d has been far more influential in my organisation than any specific technical capability.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">\u201cPragmatism matters. Knowing when to move fast, when to pause, and when to say no is essential, particularly as AI increases pressure to experiment. Strong judgement, grounded in ethics and risk awareness, is becoming a defining leadership skill.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">\u201cAt Aston, these traits have enabled us to focus on value, build trust, and bring people with us on the journey.\u00a0They\u2019ve\u00a0helped position data not as a specialist function, but as a shared organisational capability.\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\">\u201cDon\u2019t\u00a0lead with your\u00a0expertise, lead with your curiosity.<\/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<p><span data-contrast=\"none\">\u201cEarly in my career, I assumed credibility came from having the answers.\u00a0In reality, the\u00a0moments that built trust and influence were those where I asked better questions: Why does this matter? What decision are we trying to make? What would change if we knew this sooner?<\/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<p><span data-contrast=\"none\">\u201cAspiring data and AI leaders often feel pressure to\u00a0demonstrate\u00a0technical depth. While that matters, what distinguishes great leaders is their ability to create clarity, align people, and navigate ambiguity. Spend time understanding how decisions are really made and how to communicate in a way that resonates beyond the data function.<\/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<p><span data-contrast=\"none\">\u201cIf you can consistently connect data to outcomes people care about,\u00a0you\u2019ll\u00a0earn a seat at the table and keep it.\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>Helen Blaikie is Chief Data and Analytics Officer at Aston University, where she leads the institution\u2019s data and analytics agenda.\u00a0 She began her career in finance as an accountant at Shell and progressing through senior finance leadership roles across energy,\u00a0retail,\u00a0and manufacturing. Driven by a curiosity to understand what sits behind performance, Helen moved beyond traditional [&hellip;]<\/p>\n","protected":false},"author":19,"featured_media":31431,"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-40347","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":"","forename":"Helen","surname":"Blaikie","fullname":"Helen Blaikie","jobtitle":"Chief Data and Analytics Officer","organisation":"Aston University ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":31431,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-05-27 07:35:43","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\/40347","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=40347"}],"version-history":[{"count":4,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40347\/revisions"}],"predecessor-version":[{"id":40878,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40347\/revisions\/40878"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/31431"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=40347"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=40347"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=40347"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}