AI roles at Unit4. How people build their careers with AI
Two years ago, most conversations about the labor market were focused on predictions regarding Artificial Intelligence: creation of new jobs, disappearing roles, and a future of work that felt both exciting and abstract. The future is here, and we can see how artificial intelligence is reshaping the way we work.
At Unit4, people from different teams and in different roles – from procurement and learning design to data strategy and AI product leadership – are already living this transformation every day. Their stories show that AI careers are not reserved just for coders but are open to women and men with diverse strengths, from empathy and communication, to strategic thinking and curiosity about technology.
“AI will redefine work at Unit4 by turning routine tasks into automated flows, allowing people to focus on creativity, judgment, and strategic impact,” says Daniel Ehnhage, Head of AI Transformation at Unit4. “Roles will evolve from task executors to orchestrators of intelligent systems, unlocking a culture of speed, insight, and innovation.”
The future of jobs
Daniel Ehnhage is convinced that this shift goes far beyond one company or one industry. “Globally, AI will dissolve the boundaries of traditional jobs, creating a world where adaptability and continuous learning are the new currency” he notes. “Professionals who embrace AI as a co-worker, will seize opportunities in decision intelligence and trust-by-design, while those who resist might risk falling behind.” In other words, the question is no longer whether AI will shape your job, but how intentionally you choose to shape your career with AI at your side.
Vanesa: “We are absolutely waiting for you.”
For Vanesa Llorens, Labs & AI Tech Director at Unit4, AI is both a career and a canvas. “I lead a team of AI experts and help create an environment where people can collaborate, innovate, and transform bold AI concepts into practical, magical experiences that elevate our products.” What excites her most is not just the technology itself, but the culture that grows around it: “the constant opportunity to learn and explore new ideas, the freedom to experiment, and the privilege of working with colleagues from diverse backgrounds.”
Her own path started long before “generative AI” became a buzzword. “I first connected with AI years ago while studying Econometrics – what I like to call the ‘classical AI’,” she recalls. As she moved into leadership, she focused on “guiding expert teams in building models, automating solutions, and embedding AI into our products to create real value for users.”
When asked whether a technical background is mandatory, Llorens offers an encouraging perspective for women who may feel “not technical enough” to enter the field. “Technical expertise is certainly an advantage, but it’s not a prerequisite,” she says. “What matters most is the ability to connect strategy, ethics, and innovation and to bring diverse teams together behind a shared AI vision.”
Her message to women considering this path is direct and reassuring. “I would wholeheartedly encourage them to go for it.” And her final advice feels like a mantra for the age of AI: “Embrace change. Technology evolves quickly and affects every part of our lives, but change is not a threat – it’s an opportunity.”
Chris: designing data and AI futures
Where Vanesa Llorens focuses on AI products, Chris Ho, Leader of Data Operations and Strategy at Unit4, works at the junction of data, AI, and business direction. “My role is leading strategic data initiatives, including predictive analytics, self-serve analytics, and AI/ML platform architecture, while ensuring governance, roadmap planning, and operational alignment across the Data function,” he explains.
Looking at the wider labor market, Chris sees AI-related opportunities expanding across many different specialisations. “AI-related roles will continue to evolve rapidly, impacting professionals across all fields – not just data leaders,” he says. As technology matures, he expects more focused roles in AI ethics, explainable AI, AI operations (AIOps), and domain-specific AI engineering, combined with interdisciplinary skills that blend AI with domain knowledge in sectors like healthcare, finance, or education.
His own turning point came from everyday life. “I first realised the value of connecting AI with my own professional development, when smart technologies like Amazon Echo Dot, made AI accessible for everyday tasks,” he recalls. Watching these tools evolve made him realise that “AI isn’t just a trend, but a transformative force that can enhance productivity, creativity, and problem-solving in any profession.”
For those wondering if they are “technical enough” for data and AI strategy, Chris offers a balanced view. “A technical background is highly valuable for a leader of data operations and strategy, but it doesn’t always have to be deeply specialized,” he mentions. What helps most is understanding “core concepts in data management, analytics, AI, and cloud technologies,” being able to communicate with technical teams, and evaluating solutions.
KC: AI champion in learning and development
AI careers are also emerging in places many professionals might not expect – like learning design and training. KC Creely, Learning Delivery Manager and AI Champion in Unit4, describes her dual role this way: “I lead the Learning Delivery and Instructional Design teams, overseeing LMS operations, certification management, and content creation while driving large cross‑functional projects and playing an active role in advancing AI adoption across the wider business to strengthen how we operate and deliver value.”
KC is driven by people, complexity, and impact. As an AI Champion, she is “especially excited by how AI lets us rethink workflows and drive meaningful efficiency across the wider business.”
Her view of how AI-related roles will evolve is deeply human-centred. “I believe AI‑related roles will continue to evolve as tools that remove repetitive, low‑value work so people can spend more time using their expertise, judgment, and human touch,” she explains.
“I realized AI was worth investing in for my professional development when it started showing up everywhere, and Unit4 encouraged us to experiment with it in our daily work,” she recalls.
Importantly for women coming from education, HR, or communications, her role does not require a deep technical background. “My role doesn’t require a technical background, but it does require being aware of industry technologies and understanding how they support learning,” she says. Her foundation in Instructional Design and Education gives her “the right skills to lead the work effectively, even without deep technical expertise.”
Kacper: when procurement meets AI in everyday work
Even in procurement, AI is changing how people work. Kacper Caniboł, Senior Procurement and Supplier Specialist, Unit4, sums up his role in one sentence: “I am responsible for negotiating strategic global contracts, mostly in Marketing, HR, and SaaS.” What excites him is “meeting people, constantly learning new things (and how stuff works) and collaborating with multiple departments.”
His personal AI journey began in a surprisingly relatable way: “I think I really started to become invested in AI around 2 years ago. I’ve tested a free GPT LLM available at the time, to research some travel destinations for my summer holidays, and it did a great job. Since then, I knew AI would be a serious change in our daily work, and I’ve decided to educate myself a little more, which led me to use it in my day-to-day work.”
For Kacper, procurement is less about having a specific technical degree and more about being willing to learn across unfamiliar domains. “Technical background can be very helpful in a procurement position, but the reality of our day-to-day work is constant learning,” he explains. “I’d say the more you know is obviously better, but the background is not the key; the key is to have an open mind to learn and research new stuff.”
“I really wanted to work for an IT company after several years in manufacturing/supply chain businesses. I’ve found out that Unit4 offered a great working environment (and it is not just a slogan).” For those considering his career path, his recommendation is enthusiastic: “I’d definitely recommend a procurement career, as in this position you have an opportunity to really impact the business both on strategic and operational levels. If you like to work with people and learn, it’s a great choice.”
What do these stories mean for your career?
Across these four perspectives, a pattern emerges. AI careers at Unit4 are not locked behind a wall of advanced coding skills or narrow technical degrees, but built at the intersection of human qualities like curiosity, empathy, strategic thinking, communication, and a willingness to learn new tools.
You can lead AI experts, design data strategies, champion AI in learning, or use AI to negotiate better contracts, even if your background is in education, economics, or business rather than computer science.
Daniel’s warning and invitation still stand: AI is dissolving the old boundaries of jobs, and adaptability plus continuous learning are becoming the new “currency” in the labor market.
For women who want to grow, this is a moment to step forward rather than step back. To treat AI not as a competitor, but as a co‑worker that can clear space for more meaningful, impactful work. The roles already thriving inside Unit4 show what is possible when you decide to surf the wave instead of watching it from the shore.
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