In a fast-paced data-driven world; where we grapple with urgent crises such as the pandemic and climate change, open science practices have proven to be important aspects of sharing information rapidly and co-creating socially responsible technical solutions. To systematically integrate open and reproducible practices in technology, it is crucial to radically change the way we collaborate and conduct our research. In this talk, we shed light on community-led and cross-disciplinary open research practices alongside emerging roles of open leadership, ensuring meaningful collaboration and research outcomes. Drawing from the advocacy around research infrastructure roles and ongoing internationalisation and localisation work in The Turing Way, we will discuss different kinds of (formal and informal) leadership roles that work towards operationalizing open, inclusive and collaborative ways of working. Attendees will leave the session with a better understanding of what constitutes open leadership in data science and how that enhances open science and reproducibility of their work.