{"id":40527,"date":"2026-01-28T16:32:41","date_gmt":"2026-01-28T16:32:41","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&p=40527"},"modified":"2026-02-04T14:25:07","modified_gmt":"2026-02-04T14:25:07","slug":"andy-hill-cdo-sainsburys","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/andy-hill-cdo-sainsburys\/","title":{"rendered":"Andy Hill, CDO, Sainsbury\u2019s"},"content":{"rendered":"

With more than 27 years\u2019 experience across retail and FMCG, Andy Hill is currently Chief Data Officer at Sainsbury\u2019s, where he leads the retailer\u2019s Data and Analytics function, using data and AI to support business performance and long-term growth.\u00a0<\/span>\u00a0<\/span><\/p>\n

Andy studied Geography at the University of Oxford, drawn by an early fascination with how people, space and time interact. He joined dunnhumby in 1995, at a time when the company was an emerging start-up exploring the potential of early loyalty card data with Tesco. Over the next 22 years, he played\u00a0a central role\u00a0in dunnhumby\u2019s evolution into the world\u2019s leading customer science company. During this period, he held a range of senior technical and commercial roles, working with major retailers including Tesco,\u00a0Kroger\u00a0and Whole Foods. His leadership positions included Solutions Director for the UK and Ireland, Chief Operating Officer of dunnhumby Italia, and Chief Operating Officer of dunnhumby North America, based in Chicago.<\/span>\u00a0<\/span><\/p>\n

In 2017, Andy joined Unilever as Chief Data Officer, where he led the company\u2019s global data, advanced\u00a0analytics\u00a0and information strategy. He oversaw a large, diverse team of data scientists, engineers,\u00a0AI\u00a0and automation specialists,\u00a0operating\u00a0through a hybrid model of global centres of excellence and local market teams. His focus was on applying trusted data and AI at scale to drive sustainable growth and support Unilever\u2019s purpose. He joined Sainsbury\u2019s in 2025.<\/span>\u00a0<\/span><\/p>\n

Andy has been consistently recognised for his impact on the data profession, named DataIQ\u2019s most influential person in 2022 and ranked seventh in the DataIQ 100 in 2023.<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

With more than 27 years\u2019 experience across retail and FMCG, Andy Hill is currently Chief Data Officer at Sainsbury\u2019s, where he leads the retailer\u2019s Data and Analytics function, using data and AI to support business performance and long-term growth.\u00a0\u00a0 Andy studied Geography at the University of Oxford, drawn by an early fascination with how people, […]<\/p>\n","protected":false},"author":19,"featured_media":40717,"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-40527","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":"Andy","surname":"Hill","fullname":"Andy Hill","jobtitle":"CDO","organisation":"Sainsbury\u2019s ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":40717,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-05-27 07:22:02","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\/40527","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=40527"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40527\/revisions"}],"predecessor-version":[{"id":40720,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40527\/revisions\/40720"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/40717"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=40527"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=40527"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=40527"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}