{"id":36118,"date":"2025-05-13T18:21:26","date_gmt":"2025-05-13T17:21:26","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=article&p=36118"},"modified":"2025-05-13T18:24:29","modified_gmt":"2025-05-13T17:24:29","slug":"the-2025-dataiq-100-north-america-list","status":"publish","type":"article","link":"https:\/\/www.dataiq.global\/devstage\/articles\/the-2025-dataiq-100-north-america-list\/","title":{"rendered":"The leading names in North American data and AI are revealed in the 2025 DataIQ 100 North America list"},"content":{"rendered":"

The\u00a0DataIQ 100 North America<\/span>\u00a0<\/span>recognizes those shaping the future of enterprise and society through data-led transformation. The 2025 list continues this tradition by spotlighting individuals who are demonstrably advancing data and AI maturity within their organizations and across sectors.<\/span>\u00a0<\/span><\/p>\n

\u201cThe DataIQ 100 serves as a vital barometer of the exceptional talent driving innovation across the data and AI landscape. It’s a powerful recognition of the individuals who are shaping the future and inspiring the next generation of data leaders. Our goal is to recognize senior data leaders who are making a genuine impact on their organizations through the use of data, analytics, and AI.\u201d \u2013 David Reed, Chief Knowledge Officer and Evangelist, DataIQ<\/span>\u00a0<\/span><\/p>\n

\u201cFor over ten years we have been researching and celebrating the data leaders behind the incredible impact our profession has on all parts of business, the economy, and society. The purpose of the DataIQ 100 is to provide a respected platform for data and analytics leaders to support each other, advance the data, analytics and AI profession, to attract investment and to enthuse the next generation of data practitioners. We believe it plays a crucial role in championing the vital work being done in this dynamic and rapidly evolving field.\u201d \u2013 Adrian Gregory, Co-founder and Chair, DataIQ<\/span>\u00a0<\/span><\/p>\n

The <\/span><\/b>Top Ten<\/span><\/b><\/a> US Data and AI Leaders for 2025:<\/span><\/b>\u00a0<\/span><\/p>\n

    \n
  1. Amy Lenander<\/span><\/a>, Chief Data Officer, Capital One<\/span>\u00a0<\/span><\/li>\n
  2. Diana Schildhouse<\/span><\/a>, Chief Data, Analytics and Insights Officer, Colgate-Palmolive<\/span>\u00a0<\/span><\/li>\n
  3. Anand Shenoy<\/span><\/a>, Chief Data Officer, Mars Snacking<\/span>\u00a0<\/span><\/li>\n
  4. Harveer Singh<\/span><\/a>, Chief Data Officer, Truist<\/span>\u00a0<\/span><\/li>\n
  5. Bharathi Rajan<\/span><\/a>, Vice President \u2013 Data and Insights at Swire Coca-Cola, USA<\/span>\u00a0<\/span><\/li>\n
  6. Bhagyesh Phanse<\/span><\/a>, Chief Data and Analytics Officer at Starbucks <\/span>\u00a0<\/span><\/li>\n
  7. Luke Gee<\/span><\/a>, Chief Analytics & AI Officer, TD<\/span>\u00a0<\/span><\/li>\n
  8. Don Vu<\/span><\/a>, Chief Data and Analytics Officer, New York Life Insurance Company Life<\/span>\u00a0<\/span><\/li>\n
  9. Jane Rheem<\/span><\/a>, Chief Data and AI Officer at Sidley Austin LLP<\/span>\u00a0<\/span><\/li>\n
  10. Meaghan Ferrigno<\/span><\/a>, SVP, CFO and CDAO, at Destination Canada<\/span>\u00a0<\/span><\/li>\n<\/ol>\n

    These leaders represent the vanguard of data and AI excellence, spanning sectors from defense and finance to automotive, utilities, insurance, and consumer goods.<\/span>\u00a0<\/span><\/p>\n

    Data and AI solution provider, Blend, has created a dashboard<\/a> of the\u00a0DataIQ 100 North America\u00a0to highlight the rich insights the most influential leaders in North American data and AI provide. <\/span>\u00a0<\/span><\/p>\n

    Originally launched in 2014, the<\/span> DataIQ 100<\/span> has evolved into an exclusive and dynamic community of data professionals committed to collaboration, knowledge exchange and raising the strategic value of data. By championing individuals and teams, DataIQ seeks to elevate the role of data leadership across the business landscape.<\/span>\u00a0<\/span><\/p>\n

    To learn more about the <\/span>DataIQ 100 <\/span>and explore the full list of DataIQ 100 North America\u00a02025 honorees, <\/span>click here<\/span><\/a>. To register your interest in the 2026 nominations, <\/span>click here<\/span><\/a>.<\/span>\u00a0<\/span><\/p>\n

     <\/p>\n

    About DataIQ<\/span><\/i><\/b>\u00a0
    \nDataIQ connects, develops and elevates data and AI leaders and their teams, enabling senior data and AI leaders to leverage the experience of peers and therefore drive impact through better decision making.\u00a0Through a unique combination of membership, events, training and market intelligence, DataIQ enables organizations to accelerate their AI and data-driven ambitions while growing the influence and impact of data professionals at all levels.<\/span><\/i>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    The industry’s premier data and AI leaders gathered in Nashville for the unveiling of the 2025 DataIQ 100 North America. <\/p>\n","protected":false},"author":19,"featured_media":36133,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_searchwp_excluded":"","footnotes":""},"categories":[129,127],"tags":[217,1385,391,392,1388,538],"pillar":[194],"class_list":["post-36118","article","type-article","status-publish","format-standard","has-post-thumbnail","hentry","category-editorial","category-news","tag-ai","tag-awards-north-america-2025","tag-data-leader","tag-dataiq-100","tag-dataiq-100-north-america","tag-leader","pillar-leadership"],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-21 06:47:21","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article\/36118","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/types\/article"}],"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=36118"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article\/36118\/revisions"}],"predecessor-version":[{"id":36132,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/article\/36118\/revisions\/36132"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/36133"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=36118"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/categories?post=36118"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/tags?post=36118"},{"taxonomy":"pillar","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/pillar?post=36118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}