The AI Skills Every Project Manager Needs to Shine in 2024
Introduction:
Artificial intelligence (AI) continues to reshape industries, and project managers (PMs) with AI-specific skills are increasingly in demand. But what does it take to stand out in this competitive landscape? As AI projects become more sophisticated, PMI.org members must adapt, embracing new skills that align with the latest trends in AI. In this article, we explore the critical skills that will help project managers not only land AI project roles but excel in them.
- Data Literacy – The Foundation of AI Project Management
In AI projects, data is king. PMs must go beyond basic understanding and become proficient in data literacy. This includes knowing how data is collected, analyzed, and leveraged to drive AI models. PMs should also be familiar with data privacy and ethical considerations, as these are increasingly crucial in AI projects. Understanding the lifecycle of data—from raw input to actionable insights—enables PMs to communicate effectively with data scientists and stakeholders, ensuring that projects stay on track. - Agile Methodologies Tailored for AI
Traditional project management approaches often fall short in the fast-paced world of AI development. PMs must master Agile methodologies, which emphasize flexibility and iterative progress. However, it’s not just about applying Agile principles; it’s about tailoring them to suit AI projects. This means understanding the unique challenges of AI, such as model training and testing, and adapting Agile practices to accommodate these nuances. PMs who can effectively bridge the gap between Agile frameworks and AI requirements will be invaluable to their teams. - AI Ethics and Compliance – The Emerging Must-Have Competence
AI projects come with significant ethical implications, from bias in algorithms to data security concerns. PMs must be equipped to navigate these challenges by understanding AI ethics and compliance. This involves staying updated on the latest regulations, such as GDPR and CCPA, and ensuring that projects adhere to ethical standards. PMs who can proactively address ethical concerns will not only protect their organizations from legal risks but also build trust with stakeholders, positioning themselves as leaders in responsible AI development.
Conclusion:
As AI continues to evolve, so too must the skills of project managers. By mastering data literacy, adapting Agile methodologies to AI, and embracing AI ethics and compliance, PMI.org members can differentiate themselves in a competitive job market. These skills are not just trends—they are essential competencies for any PM looking to thrive in the AI-driven future. The call to action is clear: Invest in continuous learning, seek out AI-related certifications, and be proactive in applying these skills to real-world projects. Your next AI project could be your career-defining moment.
Author Bio:
Joel Frenette is an experienced CTO and senior TPM with over 22 years in IT, currently enrolled in a dual MBA program. He holds several certifications, including PMP, SCM, Scrum Master, and ITIL, and specializes in AI-driven project management and technology implementation. See his resume at JoelFrenette.com and connect with him on LinkedIn at https://www.linkedin.com/in/joelfrenette/.