Editorial AI Transformation Lead

Overview

In this role, you drive the AI transformation of The Economist’s newsroom, partnering with Editorial and cross-functional teams to identify high-impact AI opportunities and translate them into practical, adopted solutions. You will prototype and pilot AI-enabled workflows, balance human-centered journalism with automation, and measure benefits to scale impact. You work closely with editors and senior stakeholders to prioritise initiatives and ensure adoption at scale, contributing to a sustainable, AI-enabled editorial practice.

Pay / Benefits

• pension or 401(k) plan
• private health insurance
• Employee Assistance Program (counselling)
• Work From Anywhere program (up to 25 days)
• generous leave (annual and parental)
• volunteering days

Responsibilities

• Identify and prioritise AI opportunities within Editorial and partner areas (Finance, EIU Research & Analysis, Enterprise Sales, B2C, Back-office)
• Reimagine editorial workflows beyond simple digitisation, defining problem statements, success metrics and high-value use cases
• Build prototypes and AI components (models, agents, integrations) and pilot with users
• Lead production of AI-enabled solutions with engineering/platform teams or self-built where appropriate
• Drive adoption through training, communications, and embedding into daily workflows
• Track usage and realised benefits, refining or scaling initiatives as needed
• Report progress, benefits and blockers to Editors and Executive Editors
• Stay updated on AI tooling and assess fit of new developments for Editorial
• Advise on governance, monitoring and cost considerations for AI initiatives
• Ensure AI efforts complement the human aspects of journalism rather than automate core editorial tasks

Key requirements

• 4+ years in transformation, consulting, product, operations, business analysis, technology delivery or similar cross-functional roles
• Hands-on experience applying AI, automation, data or digital tools to improve processes
• Meaningful experience building with AI and agentic tools
• Strong commercial judgement and ability to prioritise high-impact opportunities
• Ability to analyse operations, identify root causes, and redesign workflows
• Experience leading discovery activities to understand user needs and define target-state processes
• Experience supporting adoption and embedding new technical capabilities into daily workflows
• Comfort working with senior stakeholders and influencing decisions

• Stakeholder management and influencing
• Curiosity and strategic thinking around AI applications
• Communication and training/or enabling adoption
• Prototyping and building AI components
• Automation and data tooling for process improvement
• Experience with AI-enabled products, governance and monitoring

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