{"id":40451,"date":"2026-01-28T10:09:07","date_gmt":"2026-01-28T10:09:07","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&p=40451"},"modified":"2026-02-12T13:01:56","modified_gmt":"2026-02-12T13:01:56","slug":"sanjeev-jagait-chief-data-officer-arts-council-england","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/sanjeev-jagait-chief-data-officer-arts-council-england\/","title":{"rendered":"Sanjeev Jagait, Chief Data Officer, Arts Council England"},"content":{"rendered":"

Sanjeev\u00a0Jagait\u00a0is Chief Data Officer at Arts Council England, where he leads the organisation\u2019s data strategy to support evidence-based decision-making and effective use of insight across the cultural sector.<\/span>\u00a0<\/span><\/p>\n

He brings more than 20 years\u2019 experience in data roles across a range of industries, each presenting distinct challenges around sourcing and analysing data, translating insight into action, and embedding best practice. Throughout his career, Sanjeev has focused on ensuring data is\u00a0robust,\u00a0well-governed,\u00a0and\u00a0genuinely useful\u00a0for informing decisions, improving\u00a0efficiency,\u00a0and strengthening organisational performance.<\/span>\u00a0<\/span><\/p>\n

Sanjeev\u00a0is experienced in building strong relationships with senior stakeholders, acting as a trusted advisor who understands diverse perspectives while\u00a0maintaining\u00a0appropriate service\u00a0levels and data standards. He has consistently worked to educate organisations on how effective use of data can become a source of strategic advantage.<\/span>\u00a0<\/span><\/p>\n

Working across different\u00a0fields\u00a0has shaped Sanjeev\u2019s leadership style. He brings a blended approach to problem-solving, combining analytical rigour with pragmatism and an ability to respond to changing environments and priorities.<\/span>\u00a0<\/span><\/p>\n

As he has progressed into senior leadership roles, Sanjeev has\u00a0remained\u00a0actively engaged in the wider data community. He values learning from peers across sectors and is committed to supporting the development of the next generation of data professionals. At Arts Council England, his focus is on using data responsibly and insightfully to support fair,\u00a0transparent\u00a0and impactful funding and policy decisions.\u00a0<\/span><\/p>\n

 <\/p>\n

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>\u00a0<\/span><\/h3>\n

\u201cYou require\u00a0the ability to develop and communicate a compelling vision for how data and AI are going to support the organisation;\u00a0pragmatic\u00a0technical judgement on what work to undertake; and a\u00a0strong\u00a0ability to influence and engage colleagues.<\/span>\u00a0<\/span><\/p>\n

\u201cTranslating what capabilities are\u00a0required\u00a0and how they add value. Set\u00a0a direction colleagues can get behind and building the confidence needed to adopt new ways of working have all been key in my organisation.\u201d<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

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>\u00a0<\/span><\/h3>\n

\u201cUnderstand who makes decisions within an organisation and how they make them (develop your empathy and emotional intelligence). Be a problem solver,\u00a0whether you use data or not,\u00a0and you will always have a role to play in any organisation.\u201d<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Click\u00a0here to read the full profile\u00a0and learnings<\/a>, exclusively for DataIQ subscribers.\u00a0Get in touch<\/a>\u00a0to become a subscriber and access unique events, insights, and more.<\/p>\n","protected":false},"excerpt":{"rendered":"

Sanjeev\u00a0Jagait\u00a0is Chief Data Officer at Arts Council England, where he leads the organisation\u2019s data strategy to support evidence-based decision-making and effective use of insight across the cultural sector.\u00a0 He brings more than 20 years\u2019 experience in data roles across a range of industries, each presenting distinct challenges around sourcing and analysing data, translating insight into […]<\/p>\n","protected":false},"author":19,"featured_media":31471,"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-40451","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":"Sanjeev","surname":"Jagait","fullname":"Sanjeev Jagait","jobtitle":"Chief Data Officer","organisation":"Arts Council England ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":31471,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-05-27 07:34:34","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\/40451","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=40451"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40451\/revisions"}],"predecessor-version":[{"id":41102,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40451\/revisions\/41102"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/31471"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=40451"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=40451"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=40451"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}