{"id":40631,"date":"2026-02-02T14:57:19","date_gmt":"2026-02-02T14:57:19","guid":{"rendered":"https:\/\/www.dataiq.global\/?post_type=100-alumni&p=40631"},"modified":"2026-02-04T14:21:21","modified_gmt":"2026-02-04T14:21:21","slug":"chris-miller-chief-data-ai-officer-royal-london-group","status":"publish","type":"100-alumni","link":"https:\/\/www.dataiq.global\/devstage\/dataiq100\/chris-miller-chief-data-ai-officer-royal-london-group\/","title":{"rendered":"Chris Miller, Chief Data & AI Officer, Royal London Group"},"content":{"rendered":"

Chris Miller is Chief Data and\u00a0AI Officer at Royal London Group. He began his career after graduating in Computing Science by joining Deloitte\u2019s Technology Assurance and Advisory practice, where he qualified as a Chartered Accountant and built broad experience working with leading UK insurance and banking organisations.<\/span>\u00a0<\/span><\/p>\n

In 2015, Chris joined Royal London Group in Group Internal Audit. This role gave him a deep, end-to-end understanding of the business and a clear view of how data underpins effective decision-making,\u00a0governance\u00a0and risk management. He was appointed Group Chief Audit Officer in 2018, further strengthening his enterprise-wide perspective and exposure to strategic risk, regulatory\u00a0expectations\u00a0and large-scale transformation.<\/span>\u00a0<\/span><\/p>\n

In 2022, Chris was asked to lead the development of Royal London\u2019s data capabilities in support of its insight-led, purpose-driven strategy, taking on the role of Chief Data and\u00a0AI Officer. In this position, he\u00a0is responsible for\u00a0shaping the organisation\u2019s approach to data, analytics, and AI.<\/span>\u00a0<\/span><\/p>\n

Chris\u2019s career spans technology, finance, assurance,\u00a0and senior business leadership, a combination that strongly influences his approach to data and AI. He places particular emphasis on the importance of trusted data, cross-functional\u00a0collaboration\u00a0and anchoring innovation in clear purpose.\u00a0As a data and AI leader, his focus\u00a0is on enabling insight, fostering responsible adoption, and ensuring that data\u00a0ultimately strengthens\u00a0the service Royal London provides to the customers and members it exists to support.<\/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

\u201cEffective data and AI leadership begins with the ability to lead change with confidence,\u00a0collaboration\u00a0and persistence. Data maturity and AI adoption are long term shifts in how organisations\u00a0operate.\u00a0Helping colleagues navigate ambiguity, overcoming technical challenges, and driving adoption of new services and solutions is essential.<\/span>\u00a0<\/span><\/p>\n

\u201cThis only works when done collaboratively.\u00a0Much of our investment and priorities reflects our purpose driven mutual status, and so where we are progressing ambitious multi-year programmes to enhance customer experience it is essential we work brilliantly across our Data, Digital, Marketing and Engagement teams, underpinned by technology.<\/span>\u00a0<\/span><\/p>\n

\u201cAlongside this, leaders need a disciplined, value\u2011focused mindset. With so much possibility surrounding\u00a0data\u00a0and\u00a0AI, the real skill lies in making thoughtful, long\u2011term investment decisions and ensuring we direct energy towards the opportunities that create meaningful, sustainable impact. That long\u2011term orientation is especially important at Royal London, where we measure progress through the lens of purpose and customer outcomes.<\/span>\u00a0<\/span><\/p>\n

\u201cAll of this is strengthened by clear communication and a commitment to empowering colleagues. When people understand and feel supported to build their data\u00a0and\u00a0AI skills, the organisation grows in confidence and capability together.\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

\u201cOne piece of non\u2011traditional advice I would give to anyone aspiring to be a data or AI leader is to take deliberate ownership of your development, while staying open to where your career might take you. Having a clear development plan and a genuine growth mindset matters far more than having a fixed idea of the next job title. Whether your ambition is the C\u2011suite or to excel in the role you have today, consciously choosing a few areas to grow keeps your work fulfilling and your career moving forward.<\/span>\u00a0<\/span><\/p>\n

\u201cBe open with the people around you. Engaging your stakeholders in your development builds trust. Signalling the skills you want to strengthen or the experiences you want to gain invites support, feedback, and opportunities you might not otherwise access. Humility and honesty about where you want to grow are powerful, they show maturity and self\u2011awareness, qualities that senior leaders value deeply.<\/span>\u00a0<\/span><\/p>\n

\u201cCareers rarely move in straight lines. Some of the most rewarding opportunities arrive unexpectedly. Focus on building your strengths,\u00a0understanding the environments where you thrive, and staying curious. When you do that consistently, the right opportunities have a way of finding you.\u201d<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Chris Miller is Chief Data and\u00a0AI Officer at Royal London Group. He began his career after graduating in Computing Science by joining Deloitte\u2019s Technology Assurance and Advisory practice, where he qualified as a Chartered Accountant and built broad experience working with leading UK insurance and banking organisations.\u00a0 In 2015, Chris joined Royal London Group in […]<\/p>\n","protected":false},"author":19,"featured_media":31416,"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-40631","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":"Chris Miller","surname":"Miller","fullname":"Chris Miller","jobtitle":"Chief Data & AI Officer","organisation":"Royal London Group ","introduction":"","content_2":"","content_3":"","content_4":"","100_thumbnail_image":31416,"affinoid":""},"publishpress_future_action":{"enabled":false,"date":"2026-05-27 07:37:25","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\/40631","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=40631"}],"version-history":[{"count":3,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40631\/revisions"}],"predecessor-version":[{"id":40687,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-alumni\/40631\/revisions\/40687"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media\/31416"}],"wp:attachment":[{"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/media?parent=40631"}],"wp:term":[{"taxonomy":"100-designation","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-designation?post=40631"},{"taxonomy":"100-search-term","embeddable":true,"href":"https:\/\/www.dataiq.global\/devstage\/wp-json\/wp\/v2\/100-search-term?post=40631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}