How to Reinvent Your Finance Hiring Strategy in 2026

In 2010, finance and accounting teams spent the first week of the monthly close cycle downloading spreadsheets, submitting journal entries, manually reconciling accounts, and prioritizing data accuracy. The focus was on getting the numbers right, not using insights to pull financial levers and make strategic business decisions. 

Today, more than 15 years later, the first week of close looks very different. Integrated ERPs update KPI dashboards in real-time, finance and accounting teams utilize automation tools to highlight month-to-month changes, and CFOs look for actionable directives from their staff.

The shift looks simple on paper, but under the surface, everything is changing. Finance teams are becoming strategic advisors, accountants are expected to know how AI models work, and leaders are challenged with reshaping the function without letting operational support lapse.

Successful finance hiring in 2026 means embracing digital tools with existing teams, adjusting the hiring and recruitment process, and utilizing hybrid team dynamics to manage the transition from finance “then” to finance “now.

Start Internally: Embracing AI in Finance and Accounting

Across industries, AI literacy in accounting and finance is no longer optional. As organizations invest in automation, predictive analytics, and enhanced reporting systems, finance teams are expected to adopt these tools, draw data insights, and manage compliance requirements. Adoption isn’t a guarantee; it requires leaders who are willing to champion new tools, navigate the growing pains of new processes, and invest in upskilling finance professionals.

The best finance transformation talent strategy centers existing team members first. In order to instill confidence in your teams and embrace AI at a leadership level, you’ll need to:

Allow for Experimentation

Have you purchased a new dashboarding tool that can transform how leaders receive insights? Give your team a few weeks to play around with the tool and figure out how it works. Carve out time on a daily or weekly basis that they can dedicate to learning and experimenting with the tool – and that means taking something else off the team’s plate so they can take on this task without sacrificing quality in other areas of their work. 

Invest in Upskilling Finance Professionals

You might not have someone who is an expert at data visualization, but maybe your long-time accounts payable team member has always loved crafting data charts in Excel. If you notice a budding interest that can be turned into a valuable skill, enroll that individual in a data visualization course and ask them to lead visualization efforts.

Illustrate the Importance of Human-Led Oversight

An EY survey found that 65% of professionals are anxious about AI taking their jobs. While most finance leaders agree that accounting workforce planning doesn’t mean replacing team members, the fear can cause distrust and hamper adoption efforts. Remind your team of their value as strategic advisors and business partners. You may not be asking them what the numbers are, but you’ll still be asking them what the numbers mean.

Building a foundation internally is vital to your overall finance transformation talent strategy. Investing internally will boost retention rates, ease tech-related concerns, and ensure that new team members are joining an organization that effectively embraces technology.  

Redesigning Roles for AI-Centric Operations

Many organizations are still using job descriptions that were written long before the integration of automation and AI in finance and accounting. If current reporting relies on automation and next-gen tools, then why are job descriptions still focusing on manual tasks?

Redesigning finance job descriptions takes more than adding a bullet point requiring applicants to “utilize AI effectively.” This undertaking challenges finance leaders to ask questions such as, “What are the digital skills my organization needs?” and, “If we can’t find those skills internally, how can we attract the right talent profiles?”

Simple changes in job postings can make a world of difference in who notices and applies for open roles. For instance, instead of:

“Generates financial reports and leads account reconciliations.”

Try:

“Leverages automated reporting and AI tools to flag material variances, escalate financial issues, and provide go-forward guidance to decision-makers.”

Requiring AI literacy in accounting does not mean that every accountant must know Python or build models themselves, but they should understand:

• Where outputs come from, how data is aggregated, and how to uncover data inconsistencies.
• The “human touchpoints” of key financial processes.
• How to optimize processes and identify opportunities for automation.

Once you start to adjust job descriptions and clarify the skills needed in a digital ecosystem, your organization’s finance transformation talent strategy will begin to take shape.

The Labor Cost Fallacy

As AI makes it possible to automate and streamline manual processes, many leaders have begun to assume that labor costs should drastically decline, too. While the assumption is understandable, it’s a fallacy.

Yes, automation may reduce transactional, tedious work that has long been owned by the function, but it also raises the level of technical expertise required by finance teams today. Robust accounting workforce planning requires leaders to stop cutting labor costs and instead, employ skills-based finance hiring and blended talent models.

• Skills-based finance hiring: Identify analytical, technical, and communication skills gaps that exist within your function. Focus on hiring individuals who can help address skills needs instead of targeting generalized skill sets. Need a data guru? Hire someone who can dive into new data sets and understand them in minutes.
• Blended talent models: For years, organizations focused on hiring full-time employees, but it’s time to consider a mix of full-time, contract workers, and digital labor. Full-time team members can drive long-term strategic initiatives, contractors can alleviate stress during busy times or bring specialized skills to the team, and digital labor can help your team process data and make decisions faster.

Three Ways to Improve Your Finance Hiring Strategy in 2026

With so many changes happening within the function, it can leave finance leaders with a lot of uncertainty. Where to focus? What to prioritize? Here are three things you can do before the end of Q1 to ensure your finance hiring strategy is ready for the year ahead:

1. Embrace AI at the leadership level. Highlight confidence, showcase a willingness to learn, and remind your teams that these tools are meant to help them – not replace them.
2. Focus on redesigning finance job descriptions and aligning hiring practices with the future of finance. Get rid of outdated listings, consider adjusting titles and hierarchies, and equip your team members with the skills needed to succeed.
3. Refresh your hiring model. Once you break away from only hiring FTE’s, you’ll find that labor gaps can be addressed without going over budget.

Just like your team members, finance leaders are navigating a more complex environment than ever before. The same solutions that have worked in years past won’t be as effective today. Instead of trying to solve problems with legacy ideas, be bold enough to reshape the function entirely.

At LHH, we work with finance leaders to align talent strategy with the future of the function. Our 2026 Accounting & Finance Hiring Guide is filled with market trends, salary benchmarks, and actionable advice. Still not sure how to think about your finance transformation talent strategy? Reach out to the LHH team today, and we’ll get things moving in the right direction.