{"id":40262,"date":"2026-01-27T13:33:12","date_gmt":"2026-01-27T13:33:12","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&p=40262"},"modified":"2026-02-04T14:46:38","modified_gmt":"2026-02-04T14:46:38","slug":"alex-sidgreaves-chief-data-officer-zurich-insurance-2","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/alex-sidgreaves-chief-data-officer-zurich-insurance-2\/","title":{"rendered":"Alex Sidgreaves, Chief Data Officer, Zurich Insurance"},"content":{"rendered":"

Alex Sidgreaves is Chief Data Officer at Zurich Insurance UK, where she leads the organisation\u2019s data strategy, operating\u00a0model\u00a0and modernisation agenda.<\/span>\u00a0<\/span><\/p>\n

She began her career at Zurich in 2005 as an MI Analyst after completing a programming degree. In the early 2010s, Alex led the transformation of the UK data team,\u00a0establishing\u00a0formal processes and building a multidisciplinary data function. She went on to spearhead\u00a0DataOps, insourcing critical capabilities and creating an in-house data platform for the P&C business within an agile delivery model.<\/span>\u00a0<\/span><\/p>\n

Alex later established Zurich UK\u2019s data architecture practice, embedding core data concepts and governance across the organisation. As Head of Data, she led a second major transformation,\u00a0consolidating\u00a0UK data into a central estate and delivering an award-winning programme that\u00a0required\u00a0strong strategic vision and deep business partnership. Since becoming UK Chief Data Officer in 2022, she has focused on strengthening collaboration between data and business teams, implementing a new operating model, modernising the technology landscape and championing intelligent automation and AI. Elements of her data strategy have since been adopted across the wider Zurich group.<\/span>\u00a0<\/span><\/p>\n

Alex is recognised as a leading figure in the UK data community. She was part of the team that won the 2023 DataIQ Award for Best Data Outreach Programme, was ranked number one in the DataIQ 100 in\u00a02024, and\u00a0featured in the list in 2023. She is an active member of the DataIQ community, regularly speaking at events and contributing to industry discussions and roundtables.<\/span>\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

\u201cI believe effective\u00a0data and AI leadership\u00a0starts with having\u00a0a clear vision, one\u00a0that\u2019s\u00a0shared across the organisation. Everything you do should move you closer to that end state, but you also need to be willing to adapt that vision as things change. This space moves fast, so adaptability and the ability to pivot are critical.<\/span>\u00a0<\/span><\/p>\n

\u201cIt\u2019s\u00a0not just about technology;\u00a0it\u2019s\u00a0about understanding your business, what makes it tick, what it needs to achieve and then building partnerships across business and technology areas to make that happen. Collaboration is key, and so is trust: trust in the data, trust in the AI, and trust in the leadership driving it.<\/span>\u00a0<\/span><\/p>\n

\u201cGreat leaders also look beyond their own walls. You need to know\u00a0what\u2019s\u00a0happening outside your organisation,\u00a0who\u2019s\u00a0succeeding, where others are struggling and keep learning. This is a continuous journey, and staying up to date with advancements helps you spot opportunities early.<\/span>\u00a0<\/span><\/p>\n

\u201cLeaders\u00a0aren\u2019t\u00a0islands. Building diverse, high-performing teams is critical. Your ability to deliver depends on who you have around you, whether that\u2019s internal talent or external partnerships. Every decision about who you bring into the team and how you empower them matters because the right mix of skills and perspectives is what drives success.<\/span>\u00a0<\/span><\/p>\n

\u201cIn my organisation,\u00a0we\u2019ve\u00a0seen real impact through focusing on Responsible AI.\u00a0We\u2019ve\u00a0put guardrails in place so that when we innovate, we do it consciously and safely.\u00a0We\u2019ve\u00a0educated the business on why these questions matter, and the biggest wins come when we have true partnerships, where everyone believes in what\u00a0we\u2019re\u00a0building and works toward it together. I feel most successful when business leaders are the ones explaining our AI initiatives to others;\u00a0t\u2019s\u00a0not just a tech project\u00a0it\u2019s\u00a0something the whole organisation owns.\u201d<\/span>\u00a0<\/span><\/p>\n

 <\/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><\/h4>\n

“Don\u2019t wait for permission to make an impact. If you spot something that\u00a0isn\u2019t\u00a0working, or something that could be better, step in. Take ownership. That mindset has opened more doors for me than any job application ever could.<\/span>\u00a0<\/span><\/p>\n

\u201cOne of the biggest turning points in my career started with a simple observation. I noticed a senior leader\u00a0wasn\u2019t\u00a0getting the insight they needed. It\u00a0wasn\u2019t\u00a0my job. No one asked me to fix it. But I knew I could help, so I took the problem away,\u00a0came up with\u00a0something better, and shared it, completely unprompted. That small act led to a conversation, then more opportunities, and\u00a0ultimately shaped\u00a0where I am today.<\/span>\u00a0<\/span><\/p>\n

\u201cIt taught me two things: first, opportunities\u00a0don\u2019t\u00a0always come with a label. Sometimes\u00a0they\u2019re\u00a0hidden inside problems no one wants to own. Second, advocacy matters. Let people see what you can do and tell them what excites you and where you want to grow. People\u00a0aren\u2019t\u00a0mind readers.<\/span>\u00a0<\/span><\/p>\n

\u201cBe proactive. Be visible. Back yourself. Stay curious. And remember\u00a0you\u2019re\u00a0more than your job. Protect your energy. The best leaders lift others up and that starts with looking after yourself.\u201d<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Alex Sidgreaves is Chief Data Officer at Zurich Insurance UK, where she leads the organisation\u2019s data strategy, operating\u00a0model\u00a0and modernisation agenda.\u00a0 She began her career at Zurich in 2005 as an MI Analyst after completing a programming degree. In the early 2010s, Alex led the transformation of the UK data team,\u00a0establishing\u00a0formal processes and building a multidisciplinary […]<\/p>\n","protected":false},"author":19,"featured_media":40844,"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-40262","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":"Alex","surname":"Sidgreaves","fullname":"Alex Sidgreaves","jobtitle":"Chief Data Officer","organisation":"Zurich Insurance ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":40844,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-05-27 07:34:56","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\/40262","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=40262"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40262\/revisions"}],"predecessor-version":[{"id":40845,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40262\/revisions\/40845"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/40844"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=40262"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=40262"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=40262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}