Ahold Delhaize USA Innovation & Technology Culture

You have a full tech stack supporting all your needs, plus a wealth of data. As a data scientist, this is a dream come true.

How does your team stay ahead of emerging technology trends while scaling fast?

As a software engineering team, we stay ahead by embedding innovation into our development lifecycle. We monitor emerging trends through active participation in tech communities, open-source projects and continuous learning programs. Engineers regularly share insights via internal knowledge sessions, ensuring rapid adoption of new tools and frameworks. To scale fast without sacrificing agility, we leverage cloud-native architectures, continuous integration/continuous delivery pipelines and automated testing to integrate new technologies seamlessly. We also use modular design to enable quick iteration and deployment. We prototype and validate more complex ideas, so innovation moves from concept to production quickly and reliably.

What recent product or feature are you most proud of — and what impact has it had?

One of the recent achievements I am most proud of is building a fully automated, self-hosted GitHub CI/CD pipeline. This solution not only streamlined our development workflow but also delivered significant cost savings by eliminating dependency on third-party services. Another highlight was integrating Optimizely with Firebase Remote Config for A/B testing in our mobile app. This was a complex software development kit integration that enabled real-time feature experimentation and data-driven decision-making, improving user experience and accelerating product iterations. Finally, we addressed critical gaps in mobile app features to ensure a smooth go-live for a new app. That required rapid problem-solving and close collaboration across teams, ultimately delivering a stable, feature-rich product that met customer expectations.

How do you create a culture where innovation and experimentation are encouraged daily?

We create a culture of innovation by making experimentation part of our daily workflow, not an occasional event. Engineers are encouraged to propose ideas and validate them through rapid prototypes or A/B tests, supported by feature flags and automated pipelines. We treat every outcome as a learning opportunity, so the team feels confident trying innovative solutions. Regular knowledge-sharing sessions and open forums keep creativity flowing. Leadership reinforces this mindset by prioritizing time for research and analysis before coding, ensuring curiosity and collaboration are embedded in how we work.

"For young engineers, AI can be a powerful tool, helping you experiment, build faster and focus on higher-impact challenges. At the same time, it makes human skills like critical thinking, creativity and ethical judgment even more important."

What’s it like to work on the AI and machine learning team at your company?

It has been very fulfilling to work and lead AI and machine learning engineering teams at Ahold Delhaize USA. We have a unique set of skillful individuals across the AI/ML engineering team, bringing strong expertise that enables us to develop and scale AI and machine learning capabilities across our business. While we are still in the early stages of our AI journey, we have significantly increased our AI learning, adoption and service capabilities over the past three years. I have been impressed by Ahold Delhaize USA’s willingness to invest in and explore advancing toward a more AI-enabled grocery business. I think that mindset and commitment will position us well for long-term success.

How is your team applying emerging technology in practical, business-relevant ways?

Over the course of my career, I have worked for three Fortune 100 companies who were all best-in-class in how technology was invested and used to drive strong business outcomes. Ahold Delhaize USA is practicing that same methodology when it comes to how we are investing in our technology stack to advance the business forward. Our data and AI/ML teams quickly evaluate emerging data and AI/ML technologies and assess existing tools to make more informed investment decisions. This approach has helped increase AI adoption, accelerate the speed of data and AI/ML services and strengthen our overall security and governance posture for better protection of data and AI assets. As a result, we’ve seen an increase of over 140 percent utilization growth on one of our platforms over the past three years. This demonstrates the trust the company continues to place in our data and AI/ML platforms for servicing business needs.

What should candidates know about the tools, collaboration or problem-solving involved in AI work at your company?

I believe the best environments for AI work are those companies that remain curious, constantly assess new ideas and have an investor mindset to allow creativity and innovation. At Ahold Delhaize USA, we foster that mindset and have positioned ourselves to embrace the AI wave as an opportunity to accelerate productivity, ensure quality control, optimize spending, enhance decision-making and most importantly — elevate the shopping experience. It’s an excellent time to be a part of grocery tech. Ahold Delhaize USA has established itself as a leader focused on applying AI in ways that deliver meaningful value and welcomes talented individuals who want to work on impactful, real-world business challenges.