Who we are Since 1843, The Economist Group has championed independence, excellence and openness, helping people understand and tackle the critical challenges shaping the world. Today, we are building on that legacy as a global media and information-services company powered by digital innovation, analytical rigour and evidence-based insight. Across our three businesses -The Economist, Economist Enterprise and Economist Education - we deliver trusted analysis and insights to individuals and organisations in more than 170 countries. United by a shared purpose to drive progress, we empower decision-makers to make sense of change and chart a course through an increasingly complex world. As a colleague, you will be part of a culture that values ideas, encourages ownership and holds itself to high standards. We invest in people who are curious, thoughtful and adaptable, whether they are launching new products, reporting on global events or harnessing emerging technologies such as AI to improve how we work. Here, fresh thinking is taken seriously, ambition is matched by integrity, and great work is recognised. Working across disciplines, geographies and perspectives, we are united by a commitment to innovation, excellence and creating meaningful impact. Want to discover more about life at The Economist Group? Follow @EconomistCareers on Instagram to discover the people, stories and opportunities that make TEG unique. Technology, Product & Data Our team of 450 colleagues across Technology, Product and Data is at the heart of The Economist Group’s digital-first agenda. Together, we design, build and optimise the digital products, platforms and data capabilities that power our business and reach millions of people around the world. Whether you're an engineer, product manager, designer, data scientist or analyst, you'll work on products that have real-world impact. From enhancing economist.com and developing new products for Economist Intelligence to creating personalised experiences and applying AI to solve complex challenges, you'll help shape how consumers, businesses and government leaders access trusted insights. Working in cross-functional teams, we combine engineering excellence, product thinking and data expertise to solve meaningful problems, experiment with new technologies and continuously improve the experiences we create. It's an opportunity to do challenging, purposeful work alongside curious, collaborative colleagues, while helping drive sustainable growth for one of the world's most trusted brands. The Role The Economist Group (TEG) is investing in AI to transform how we work, serve our customers and create value across the organisation. Our AI Transformation Programme was established by the executive leadership team to partner with departments across TEG - including Editorial, EIU, Enterprise Sales, B2C and central functions - to identify high-impact opportunities, redesign workflows and embed new, AI-enabled ways of working at scale. We are hiring several AI Transformation Leads to help turn that ambition into measurable results. These are hands-on, commercially minded transformation roles for people who combine strong stakeholder skills with practical fluency in building with AI. You will work closely with business teams to understand how work is done today, identify where AI can make a meaningful difference, shape the right solution and lead it through implementation and adoption. You will be comfortable getting close to the technology yourself, but equally effective at bringing together business, product, engineering and platform colleagues to deliver sustainable change. This is not a role focused on pilots for their own sake. You will help prioritise opportunities with clear strategic and commercial value, take successful initiatives into day-to-day use, and track the benefits they deliver. Key Responsibilities: - Partner with business areas (e.g. Editorial, Finance, EIU Research & Analysis, Enterprise Sales, B2C, Back-office) to identify, assess and prioritise AI automation opportunities. - Understand current workflows and reimagine them end to end, rather than simply digitising existing processes. - Define problem statements, scope, success measures, delivery approaches and benefits cases; park (or give back for self-implementation) low-value use cases early - Build working prototypes, hands-on models, agents, integrations and get something testable in front of users quickly. - Take proven use cases through to production, utilising necessary resources (self-built or working with engineering and platform teams) - Drive adoption with the business owner through training, communications, embedding into daily workflow. - Track usage, outcomes and realised benefit; use evidence to refine, scale or stop initiatives. - Report progress, benefit and blockers into the AI Internal Automation programme rhythm - Stay current on AI tooling, translate new developments into AI opportunity areas and judge honestly where AI does not fit. Key Skills and Competencies: Essential: - Vitally, we are looking for candidates with a deep passion and interest in AI as a field, who can demonstrate curiosity about how emerging AI capabilities can be applied responsibly and effectively within our business. - 4+ years experience in transformation, consulting, product, operations, business analysis, technology delivery or a similar cross-functional role. - Practical experience applying AI, automation, data or digital tools to improve business processes. This could include prototyping, configuring platforms, shaping delivery or advising teams on implementation. - Meaningful, demonstrable hands-on experience building with AI and agentic tools. - Commercial judgement: able to assess value, make trade-offs and focus effort on opportunities with meaningful impact. - Strong ability to understand operational processes, identify root causes and redesign workflows around user and business needs. - Comfortable leading discovery activities to understand user needs, uncover opportunities and define target-state processes. - Experience supporting the adoption, enablement and embedding of new technical capabilities and tools into users’ daily workflows. You care whether what you build gets used. - Confident working with senior stakeholders, able to influence decisions and bring clarity where priorities or expectations differ. Also useful: - Experience taking AI-enabled products, automations or services into production, including evaluation, monitoring, governance and cost management - Data wrangling and engineering - experience working with messy data spread across multiple systems - Experience in media, publishing, research, subscription businesses or professional services #LI-Hybrid Working Arrangements The majority of our roles operate on a hybrid working pattern, with 3+ days office attendance required. AI usage for your application We are an innovative organisation that encourages the use of technology. We recognise that candidates may utilise AI tools to support with their job application process. However, it is essential that all information you provide truthfully and accurately reflects your own experience, skills, and qualifications. What we offer Our benefits package is designed to support your wellbeing, growth, and work-life balance. It includes a highly competitive pension or 401(k) plan, private health insurance, and 24/7 access to counselling and wellbeing resources through our Employee Assistance Program. We also offer a range of lifestyle benefits, including our Work From Anywhere program, which allows you to work from any location where you have the legal right to do so for up to 25 days per year. In addition, we provide generous annual and parental leave, as well as dedicated days off for volunteering and even for moving home. You will also be given free access to all The Economist content, including an online subscription, our range of apps, podcasts and more.

AI Transformation Lead

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