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The Skills Edge Blog

Stay ahead in the RMI landscape with expert insights, practical tips, and innovative solutions designed to help you elevate your career and drive organizational success. 

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Featured Post

Risk Management and Insurance Goal Setting: A Practical Approach for 2026

Angela  Pilotti

New technologies, emerging risks, and evolving market dynamics are reshaping how risk management and insurance (RMI) professionals work and what skills matter most...

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General RMI Trends & Insights

The Retirement Wave: Filling Your Leadership Pipeline to Shape the Future of Insurance

By Eric Czerwin

The coming retirement wave is the single largest talent disruptor facing risk management and insurance (RMI) today. Half of the current insurance workforce will retire by 2035, leaving a gap of over 400,000 positions, according to a report from the U.S. Bureau of Labor Statistics. The RMI landscape has often adapted well to change, yet the next nine years represent both a challenge and a defining opportunity.

As we kick off 2026, learning and development (L&D) and talent management leaders can bring renewed momentum in facing the growing talent shortage. This is a chance to invest in your people, strengthen your leadership pipeline, and shape what the future of insurance and risk management will look like.

Explore how professionals in the Property & Casualty market believe the looming retirement wave could affect critical knowledge and leadership readiness, as well as present opportunities for growth and renewal across the RMI space.

Loss of Institutional Knowledge and Leadership Pipelines

What impact will the retirement wave have on the insurance landscape? The numbers tell a compelling story: 73% of RMI professionals believe the loss of institutional knowledge will be the most significant impact of the retirement wave, according to a survey conducted by The Institutes Enterprise Research team. This knowledge gap isn't limited to technical expertise: It extends to leadership skills, strategic decision-making, and mentorship. Left unaddressed, this loss of experience can quietly weaken your organization’s leadership pipeline. However, with the right professional development strategy, it can also open the door to developing and defining the next generation of leaders.

As seasoned professionals leave, insurers need to ensure key insights and processes don’t leave with them. One effective approach is building a structured knowledge-transfer system that includes: 

  • Clear documentation and playbooks that capture critical expertise
  • Formal mentorship programs that connect seasoned leaders with emerging talent
  • Succession planning that looks ahead to the future (not just today’s roles) 

By developing your leadership pipeline now, you create stability while preparing for what’s next. 

Impact on Specialized Positions

Following that, technical roles that form the backbone of insurance operations are also at risk. 60% of surveyed RMI professionals expect shortages in underwriting, claims, and other technical skills. Additionally, 43% anticipate these roles will decline in the coming years. But why? 

Many organizations expect to fill technical role gaps through AI and automation. As a result, those who learn how AI and machine learning is transforming insurer operations and can pair that knowledge with AI expertise will be in high demand. Still, the strongest organizations will focus on developing technically skilled talent who are also ready to step into leadership roles. This balanced approach supports both operational excellence and long-term leadership growth.

Infographic showing how the upcoming retirement wave will impact the insurance and risk management industry, highlighting four key effects: loss of institutional knowledge, shift in specialized technical roles, growth in training and upskilling, and new hiring practices.

However, within this disruption lies opportunity. Organizations that invest in professional development now can emerge with a workforce that is more confident, more skilled, and more resilient than ever. 

Growth of Training and Upskilling Programs

For L&D leaders who have been looking for a reason to expand their professional and leadership development programs, now is the time. Continuous learning is one of the most effective ways to address the talent shortage, as it allows professionals at all levels to grow their expertise and remain resilient. But it only works when programs are intentional, well-structured, and aligned with business goals. Consider supporting employees through clear career pathways that equip them with in-demand technical and leadership skills. This is where trusted, RMI-specific education becomes invaluable.

For example, The Institutes Knowledge Group offers a wide range of online courses and Institutes Designations designed to help build foundational, technical, and leadership skills to stay ahead of evolving RMI trends. Each program is backed by The Institutes’ more than 115 years of experience as a not-for-profit, committed to educating, elevating, and connecting those interested in risk management and insurance to create a more informed, resilient world. 

Updated Hiring Practices

As you strengthen internal talent development, your hiring practices should also evolve. 58% survey respondents expect entry-level positions to be filled from outside the current RMI job market. This shift will require organizations to move beyond traditional competency-and-experience-based recruiting models toward skills-based hiring approaches.

Not only will this expand the pool of potential candidates, it will also likely bring fresh perspectives into your organization. Those who haven’t worked in risk management and insurance before but have transferable soft skills—like customer service and critical thinking—will be able to grow their knowledge in entry-level positions and can bring innovative thinking to current business models. The key is creating onboarding and mentorship programs that effectively integrate these new hires. 

How Can I Shape the Future of Insurance Today?

Don’t forget: The retirement wave is already underway. But with the right strategy, it can unlock a new era of risk management and insurance that builds on the work previous generations have already started. Early- and mid-career professionals will find new opportunities to advance, while organizations can intentionally address the skills gap and invest in future leaders.

Want to dive deeper into the data behind these trends? Take a look at our benchmarking whitepaper for insights that can guide your strategic planning. 

Photo of Eric Czerwin

About the Author

Eric Czerwin is Director of Sales for The Institutes Knowledge Group. With a background in risk management and underwriting, he bridges strategic insight with practical execution while fostering long-term relationships. His focus is on empowering carrier workforces with enhanced skills and insurance field knowledge through organizational learning and development initiatives.

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Image of speech bubbles representing concept of communicating about data science in insurance
Data Analytics & Predictive Modeling

Demystifying Data Science in Insurance: Speak the Language of Data

By Eric Czerwin

Imagine making informed decisions, predicting risks accurately, and tackling strategic business challenges—all through the incredible power of data. The evolution of data science in insurance is redefining business practices, making it essential for RMI professionals to continuously upskill to stay competitive.  

Keep in mind, data science doesn’t have to be intimidating! With a basic understanding, you can learn to speak the language of data, collaborate confidently across your organization, and fully leverage data-driven insights. 

Why Every RMI Professional Needs A Data-First Mindset  

Data science processes vast amounts of data to extract valuable insights that can be leveraged across the business. 

Because the fields of risk management and insurance rely on data for informed decision-making, professionals across the business value chain must have a solid understanding of data science principles. They also need a mindset to prioritize data and analytics throughout day-to-day operations. Whether your role is in risk management, claims, underwriting, marketing, or any other function, it’s important that you’re comfortable working with data. 

Embracing this mindset not only helps you stay resilient and competitive in a rapidly changing environment, but also empowers you to speak the language of data effectively. 

 

An infographic about the benefits of understanding the fundamentals of data science in insurance and being able to speak the language of data.

5 Benefits You’ll Gain from Speaking the Language of Data  

In today's data-driven world, data literacy isn't just a technical skill—it's a vital component of professional growth and organizational success. And spending time developing that skill may benefit you in more ways than you realize.  

1. Better Collaboration  

Understanding basic data science in insurance concepts allows you to have more effective communication and collaboration across teams. Whether you're working with underwriters, actuaries, or data scientists, being able to have efficient conversations using the correct terminology helps ensure everyone is aligned.  

2. Improved Decision-Making    

Data literacy enables you to make evidence-based decisions. By knowing how to access and analyze relevant data, you can better identify trends, uncover insights, and predict future outcomes with greater accuracy.  

3. Increased Efficiency   

Proficiency in data analysis allows you to automate routine tasks and optimize workflows. For example, using data algorithms to automate claims processing can speed up the resolution time and improve customer satisfaction. 

4. Enhanced Competitive Edge  

Both individuals and organizations gain a significant advantage by leveraging data insights. For individuals, data literacy enhances career prospects and professional growth. For organizations, it means being able to offer better products, services, and customer experiences.  

5. Strengthened Risk Mitigation    

Data analysis provides a clearer understanding of risks and potential vulnerabilities. By identifying patterns and predicting possible issues, you can help minimize losses, boost profitability, and ensure a more stable and secure operational environment. 

Understanding the Fundamentals of Data Science in Insurance 

While data analytics may seem daunting at first, it's more accessible than you might think! Courses such as AIDA 402: Developing and Implementing Data-Driven Strategies can help you feel confident with the fundamentals of data science including:  

High-Quality Data Collection 

Collecting high-quality data is a key first step to making better decisions. Insurers gather and analyze data to better understand customer profiles and risk landscapes. Good data collection practices streamline operations and uncover new opportunities for innovation. 

Proper Data Management 

Managing data well ensures its reliability and trustworthiness. For example, categorizing telematics data by factors like speed and braking patterns helps insurers spot behaviors that might affect claims. This structured approach enhances data accuracy and makes it easier to extract actionable insights.  

Efficient Data Communication  

Efficient data communication bridges the gap between data science and traditional insurance roles. By bringing together data scientists, actuaries, underwriters, claims specialists, and more, insurers can make insightful decisions and respond faster to market trends.  

Understanding these concepts and more will allow you to build a culture of data literacy at your organization, ethically manage data, and establish yourself as a trusted RMI leader. 

Develop In-Demand Data Analytics Skills and Grow Your Career 

Adopting a data-driven culture is a team effort. Everyone across the organization has a responsibility to better understand and communicate about data. After all, big data and technology are central to the future of the risk management and insurance business.  

That’s where a commitment to your learning and professional development comes in. The Institutes Designations’ all-new Associate in Insurance Data Analytics® (AIDA™) is designed to help you understand data science principles so you can speak the language of data, future-proof your skillset, and grow your career.

 

Photo of Eric Czerwin

About the Author

Eric Czerwin is Director of Sales for The Institutes Knowledge Group. With a background in risk management and underwriting, he bridges strategic insight with practical execution while fostering long-term relationships. His focus is on empowering carrier workforces with enhanced skills and insurance field knowledge through organizational learning and development initiatives.