See if I'm a fit Women in Data · Key takeaways
Elisabeth Kant and Morena Bastiaansen examine what changes when a data scientist moves into leadership, why empathy is foundational and how leaders can create impact without knowing every technical detail.
What stood out
An individual contributor can go deeply into a defined technical problem. A leader works across people, products, business goals, imperfect data and resource constraints, where there may be several defensible answers rather than one clear solution.
Understanding what motivates people and what an audience needs makes better communication, mentoring and collaboration possible. Skills can be developed, but genuine care for people and curiosity about problems are essential starting points.
Early-stage leaders need enough hands-on experience to guide developing practitioners. As their scope grows, they can step away from every algorithmic detail while still understanding which approaches fit which problems, including governance and ethical constraints.
Bias, limited role models and sponsors, unequal caring responsibilities and unreliable childcare interact with confidence and appetite for risk. Individual action matters, but it should not be mistaken for a complete answer to structural barriers.
A fairer workplace gives women genuine access to influence without assuming every woman wants leadership. It also gives men freedom to prioritise family or reduce working hours without being judged against a narrow model of success.
Data science still exists to create value from data. Leaders and practitioners need to understand where language models help, then integrate, evaluate, monitor and safeguard them rather than treating the model itself as the business outcome.
As the field and team expand, the leader cannot remain the deepest expert everywhere. Giving specialists context, boundaries, ownership and autonomy usually produces better technical decisions and more meaningful work.
Economic constraints, hiring freezes and difficult decisions cannot always be kept away from a team. Transparent communication, thoughtful buffering and support such as coaching help a leader protect psychological safety while facing reality.
Take part
If you lead a data team or are building towards leadership, I'd love to hear from you.
Start a conversation
