Managing Up or Managing Down?
📰 Medium · Data Science
Learn to balance managing up and managing down to become a more effective leader in data science teams
Action Steps
- Identify your stakeholders using tools like stakeholder mapping to understand their needs and priorities
- Develop a communication strategy to manage expectations and provide updates to both upper management and team members
- Set clear goals and objectives that align with the organization's overall strategy
- Delegate tasks and provide coaching to team members to help them grow and develop
- Build relationships with upper management to understand their priorities and secure resources for your team
Who Needs to Know This
Data science team leaders and managers can benefit from understanding the importance of managing up and down to improve team performance and collaboration
Key Insight
💡 Managing up and down requires a delicate balance of communication, goal-setting, and relationship-building
Share This
💡 Effective management is not just about managing down, but also about managing up to drive team success
Key Takeaways
Learn to balance managing up and managing down to become a more effective leader in data science teams
Full Article
When we think about management, we usually think about managing down: setting goals, delegating work, coaching employees, resolving… Continue reading on Medium »
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