Group Product Manager AI

Who We Are

We are an organisation that exists to drive progress. That's the “red thread” that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them.

We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses, The Economist, Economist Impact, Economist Intelligence and Economist Education, which uphold our global reputation for excellence and integrity.

Role Overview

EIU is the business intelligence arm of The Economist Group, a leading authority on international business and world affairs. Upholding our brand's reputation for uncompromising integrity, rigorous analysis, and trusted insights, EIU provides a forward-looking perspective on the global agenda to identify opportunities, trends, and risks at global and national levels.

We are seeking a talented and experienced Group Product Manager (GPM) to lead the development of AI-driven products and enhancements within our B2B information business. With a focus on forecast data, risk analysis, and geopolitical and macroeconomic modeling, this role will play a key part in integrating machine learning into our technology stack and charting an ambitious roadmap for how AI, including generative AI can deliver meaningful features and benefits for our users, both internal and external.

This is a highly collaborative role where you will work closely with analysts, economists, engineering teams in a matrix structure, and diverse cross-functional stakeholders to deliver innovative solutions that address both client and business needs.

Responsibilities

AI Product Development:

• Lead the creation of new AI products and integrate AI-driven enhancements into existing offerings.
• Develop and execute a forward-looking product roadmap that balances suitable ML-driven improvements with AI and GenAI opportunities driven by use-cases
  
  

Stakeholder Collaboration

• Work with cross-functional teams, including research and analytics, data and content, engineering, data science, marketing, sales, and operations, to align product initiatives with business priorities.
• Build consensus and manage priorities across internal groups, ensuring alignment with strategic objectives.
  
  

AI Advocacy

• Champion AI adoption across the organisation, educating stakeholders about its potential and fostering a culture of innovation.
• Keep up-to-date with industry trends and developments in ML and GenAI to bring cutting-edge insights and opportunities to the business.
  
  

Execution And Delivery

• Collaborate with engineering resources in a matrix structure to deliver on the product vision with autonomy and accountability.
• Define clear KPIs to measure the success and impact of AI initiatives.
  
  

Client-Centric Innovation

• Leverage knowledge of the B2B information space to identify opportunities where AI can address client challenges or create new value propositions.
• Ensure all AI solutions prioritize usability, ethical considerations, and measurable impact.
  
  

Skills

Experience and Expertise:

• Proven experience in product management, particularly with data products, machine learning (ML), AI or generative AI (GenAI).
• Strong understanding of productionising large language models (LLMs) based applications.
• Track record of delivering ML/gen AI-driven solutions in content and data-rich environments.
  
  

Technical Acumen

• Comfortable working closely with engineering teams and data scientists, with a solid grasp of AI/ML technologies and workflows.
• Experience modernizing legacy technology stacks to incorporate AI, ML capabilities.
  
  

Leadership And Collaboration

• Strong ability to lead with influence in a matrix organization.
• Proven success in managing cross-functional, local, near and off-shore teams and balancing competing priorities.
• Self-starter with a curious mindset and proactive approach to problem-solving.
  
  

Strategic Thinking

• Experience in the B2B information space, with a strong ability to identify opportunities for AI to address client and business needs.
• Visionary mindset to create and execute a long-term roadmap aligned with business goals.
  
  

Benefits

What we offer

We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered.

Our Values

Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world.

Independence

We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world.

Integrity

We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency.

Excellence

We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation.

Inclusivity

We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully.

Openness

We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood.

The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status.