Project managers may or may not be experts or subject matter experts in Data Management. However, they are required to know enough to perform their tasks efficiently. In the emerging technology era, Project Managers must be fluently data literate and ensure their team is also data literate.
Culture Create a data-literate culture for your team where you can exchange information without any hiccups. Be savvy with data to understand business and project data well so that data reading, writing, and translating it to teams, stakeholders, and leadership is easy and leverage data to maximize business value.
What does it take to create a Data Literate culture?
Artificial Intelligence (AI) Tools Integrate, use, and leverage Generative AI to assist you in better utilization. Know how to generate Prompts for your presentations, project artifacts, project communication, and training. It can be your go-to assistant to help you efficiently and better with your deliveries.
Accountability and Responsibility Be accountable for the output/content of Generative AI tools. Project managers are responsible for authenticating the output and making the output outcome-based for the benefit of the project, team, stakeholders, and company.
AL Data Declaration No one likes surprises when it comes to paid work. Declare AI usage in project artifacts ahead of time. Dependent teams or stakeholders may have different rules and regulations to follow and may not accept deliverables generated through Generative AI.
Data Storytelling Project Managers do storytelling for projects on behalf of the team to the business leaders and stakeholders. Now, learn how to interpret data and convert it into story. Know if your report is good with or without outliers and how it will add value to the business decision-making.
Decision Making It was only a short time before we worked in a data-driven system and heavily depended on it for reporting and analysis. We need more and need to learn and use data for Informed Decision Making. As project managers, we are not required to produce and route data technically but ensure that the data sources/ providers are authentic and make it available to businesses as needed.
Renew Governance Depending on the Organization's AI-type integration, review existing governance and make sure it incorporates AI usage and protocols. Make it conveniently available for the team and stakeholders. Incorporate renewed governance in contracts and other documents as applicable.
Standards and Best Practices Team up with management and review the standards and best practices to incorporate data-related standards and best practices in the system.
Change Management Project Managers are also "change agents" to support the new ways of working with emerging technologies. We need to collaborate in change adoption requirements and ensure the change implementation. Be assured that change is happening at your team level as well. Every team is different, and some elements might be unique and require specific changes at the team level.
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David GradyStrategic Portfolio & Project Analytics| Yale UniversityGlastonbury, Ct, United States
What a terrific summary and list! If I read your prompt correctly, you are wondering if there are any other training, environmental components, or attitudinal changes that would be necessary to effectively incorporate AI in project delivery.
To that end, I would submit that we really need to identify what goals we would like to achieve through our use of Artificial Intelligence. Much like a regular project, an AI adoption initiative would need to be clear as to what the intended benefits would be - preferably with Moscow prioritization to separate out what's a Must Have versus what's a Should Have or Could Have goal.
Only when we're clear about why we're doing anything can we know what to do, after all. Saving Changes...
Markus KopkoAI Enabler for Project & Program Mgmt | Founder PMotion.ai / The PM
AI Coach| PMotion.aiHamburg, Hamburg, Germany
Dear Nadia,
In our journey towards embracing AI and emerging technologies in project management, establishing a robust data-literate culture is beneficial and imperative. Based on my extensive experience in project and program management, I would like to share some strategies to enhance data readiness among project managers:
Continuous Education and Training: Engaging in ongoing learning about data management, AI tools, and analytics is vital. Regular training sessions can keep the team abreast of the latest advancements.
Collaborative Learning Environment: I advocate for a culture of knowledge sharing, which can be facilitated through peer-to-peer training and sharing sessions.
Data Literacy in Performance Metrics: Integrating data literacy into KPIs ensures that the team is aware of and actively using data in their decision-making processes.
Leadership by Example: As project managers, we should lead by demonstrating the effective use of data in our project strategies and daily decisions.
Access to Resources and Tools: Ensuring the team has the necessary tools and resources is crucial. This might involve investing in new software or providing learning resources.
Encouraging Critical Thinking: It's important to maintain a critical perspective towards data, and understand its limitations and potential biases, especially in AI-generated data.
Data-Driven Project Methodologies: Incorporating data analysis methods into project management methodologies can significantly enhance project outcomes.
Promoting Ethical Data Practices: Adhering to ethical guidelines in data usage, especially regarding sensitive information, is non-negotiable.
Data Quality Management: Emphasizing data quality ensures the reliability and accuracy of the data used in decision-making.
Feedback Mechanisms: Establishing platforms for feedback on data usage can help in identifying areas for improvement and fostering a culture of continuous learning.
These strategies prepare project managers to utilize data in their projects effectively and create a foundation for a data-driven, informed decision-making culture. I welcome additional insights or strategies you may have found effective in your professional journey.
