AI in Finance: Data, Relationships & Recruitment

AI in Finance: Why Data and Talent Strategy Matter More Than Ever

Since 2020, finance teams have undergone a quiet revolution. The pressures of global disruption, rapid digitalisation and shifting expectations have paved the way for a new era where finance professionals can clearly visualise what the future of their function could look like. But turning that vision into reality? That takes more than just new tools.

The rise of AI and advanced analytics is already reshaping the roles of CFOs, FP&A Directors, Financial Controllers and Analysts. Yet one thing remains true: the tried-and-tested principles of good finance leadership - discipline, consistency and strategic collaboration - still underpin long-term success. And increasingly, that success depends on recruiting the right people.

Data first, always

The promise of AI in finance - whether it’s predictive forecasting, real-time scenario planning or intelligent automation -relies entirely on the quality of the data being fed into the system. This means finance leaders must make data a top strategic priority..

That means asking:
- Is our data clean, consistent and accessible?
- Do we have the right data governance practices in place?
- Are we investing enough in data management talent and tools?
- Do we have finance professionals who understand both the numbers and the technology?

More than ever, hiring for data literacy,systems fluency and analytical thinking is non-negotiable. The best finance teams of 2025 won’t just be good with Excel, they’ll be fluent in business intelligence, comfortable with automation and proactive in spotting opportunities through data.

Tech alone won’t solve it

While AI is advancing fast, it’s not a magic wand. Finance leaders should resist the temptation to over-rely on technology to drive transformation. Instead, the smarter approach is to proactively build the right inputs - starting with cross-functional collaboration.

Understanding what data is needed, what problems are worth solving and how decisions are made across the organisation requires real human relationships. This is where traditional finance strengths- communication, influence and leadership - become the accelerators of AI success.

It also means hiring people who aren’t just technically strong, but who can build bridges across functions, ask the right questions and think commercially. The future of finance needs thinkers and doers.

Be proactive, reap the rewards

Ironically, the best way to prepare your finance function for automation is to lean in more, not less. Leaders who are hands-on now - developing better models, engaging cross-functional teams and continuously improving data quality are the ones who will benefit most from automation later.

That also includes being proactive in workforce planning. Roles are evolving quickly. The analysts you needed two years ago might not be the analysts you need today. Finance recruitment is becoming more strategic, focusing on adaptability, continuous learning and digital confidence.

AI won’t replace finance leaders, but finance leaders who embrace AI will absolutely outperform those who don’t. Unlocking its full potential means going back to basics: prioritising data, building strong relationships and hiring the right talent to move your finance function forward.

‍