Who Is Hiring For Data Leadership Roles And How Do You Land One?
Who Is Hiring For Data Leadership Roles And How Do You Land One?
Most leadership roles are resilient to recessions and hiring downturns because the business sees them as multipliers. A McKinsey survey found that companies with the highest AI maturity valued leaders over any other roles. The lowest maturity focused on AI researchers and other technical IC roles. It’s a slow learning curve, but the number of companies prioritizing data leadership roles is growing faster than I’ve seen in the last 11 years.
There are several challenges with finding quality leadership roles, and in this article, I will outline what they are and how to overcome them. Landing a top leadership position is a very different process from finding an individual contributor role. The process only gets more complex and unfamiliar at the Director, VP, and C-level. I will begin the article with a new approach to getting hired that’s more successful for these roles.
New cohorts are open for enrollment in my AI Strategist Certification and AI Product Manager Certification courses. Space is limited, and these will fill up quickly.
Who Is Hiring And How To Find Roles
It’s easy to believe that no one is hiring for leadership roles if you scan job boards and LinkedIn. Most high-quality workplaces don’t rely on traditional outreach to find leaders. The candidate quality is too unpredictable, and the effort to find the diamonds is too high. Businesses that realize how critical leaders are to their long-term success invest in new approaches to sourcing leaders.