Project Lead: Mark Cooper
Project team: Danette McGilvray, Theresa Kushner, Gabriel Rus, Andrew Andrews, Laura Sebastian-Coleman, Peter Worthington-Eyre
Objective:
AI is changing the data profession in practical, immediate ways – reshaping roles, workflows, deliverables and the skills organizations need from data people.
This project brings together data professionals, AI practitioners, business leaders and other stakeholders to explore what these changes mean and how we should respond. Rather than focusing on hype, automation or job replacement, we will examine the real adjustments needed across governance, quality, metadata, stewardship, analytics and delivery practices.
We are seeking collaborators to help create practical, grounded guidance for the profession. Your experience and perspective will help shape a shared understanding of how data roles are evolving, what capabilities matter next, and how organizations can transition successfully in an AI-enabled future.
Project Lead: Laura Sebastian-Coleman
Objective: Create a curated lists of books that we think will help organizations deliberately manage data and information with the same accountability as other assets.
Promote the Data Leaders overall vision to make The Leader’s Data Manifesto a reality.
Project Lead: Danette McGilvray
Project team: Volunteer translators and reviewers
Objective: We support the promotion and dissemination of The Leader’s Data Manifesto to the broader data and business communities around the world by translating the Manifesto into as many languages as possible. Data is a worldwide issue and having the Manifesto available in many languages makes these ideas more accessible. We rely on volunteers to translate and review each language to ensure accuracy of the translation.
Project Lead: Theresa Kushner
Project team: Theresa Kushner, Emma Haller
Objective: We aim to optimize data flow for automated, high-quality community communications. This project establishes a robust foundation for data flow, ensuring streamlined regular updates, continuous website enhancements, and LinkedIn promotions of data resources. Our holistic approach aims to secure data quality from creation and simplify ongoing maintenance.
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