In 1966, in Marseille, Pierre Bellon laid the foundations of what would become Sodexo, guided by a simple yet powerful idea: improving everyday life through services that truly matter.
Today, Sodexo is a global leader in Food and Services, supporting people at every moment of life, at work, in schools, hospitals and communities. With 426,000 colleagues across 43 countries, we serve 80 million consumers every day, generating €24.1 billion in revenues. Our growth goes hand in hand with social and environmental responsibility, driven by our purpose: to create a better everyday for everyone and build a better life for all.
About Sodexo Business Services (SBS)
Portugal is no exception! Eight years ago, we established Sodexo Business Services (SBS), our shared service center. Here, you will have the opportunity to join various Financial teams such as Record to Report, Order to Cash, Purchase to Pay, Financial Analysis, and Master Data, supporting European markets and ensuring business growth.
Join Us!
We are looking for talented professionals to be part of our team, bringing unique skills and perspectives to help us grow even further.
AI Builder
What will you do?
AI Use Case Discovery & Delivery:
- Identify and prioritise high-value AI and automation opportunities across GSM, BI and regional teams.
- Translate business challenges, process inefficiencies and user needs into practical, testable use cases with clear value, feasibility and risk assessments.
- Build and validate prototypes/MVPs in short cycles, leveraging AI, automation, data and low-code technologies to rapidly demonstrate impact.
- Select fit-for-purpose solutions that balance speed, scalability, simplicity, cost and governance requirements.
- Engage users early to test solutions, gather feedback and continuously improve usefulness, usability and trust.
- Measure success through business outcomes such as efficiency gains, quality improvements, adoption and user experience.
- Recommend whether solutions should be scaled, enhanced, reused or discontinued based on demonstrated value and business needs.
Capability Building & Responsible Scale-Up:
- Work closely with IS&T, AI specialists and business stakeholders to industrialise successful solutions and ensure compliance with security, governance and data standards.
- Promote responsible AI adoption by sharing best practices, reusable assets and lessons learned across teams and regions.
- Strengthen AI and automation capabilities within GSM and BI through coaching, knowledge sharing and practical demonstrations.
What you'll need to succeed?
- A hands-on builder who is comfortable working across business, analytics and technology, and can take an idea from a loosely defined problem through to a working solution.
- 3 to 5 years' relevant experience across analytics, data, automation, digital products or applied AI, with a strong track record of building and improving practical solutions.
- Strong commercial and business judgement, with the ability to understand what matters to stakeholders, recognise where value can be created, and focus technical effort on solutions that are practical, useful and worth the investment.
- Practical experience using Generative AI and LLM-based tools to solve real business problems, with a good understanding of their capabilities, limitations and appropriate use.
- Strong data and analytical foundations, including experience working with messy or complex data, data quality issues, data models and multiple information sources.
- Working capability in Python and SQL, or equivalent technologies, sufficient to manipulate data, automate tasks and build prototypes independently.
- Ability to combine AI, data, automation, APIs and low-code/no-code tools to create working solutions, selecting the simplest effective approach for the problem.
- Strong problem-framing and analytical skills, with the ability to uncover the real need behind an initial request, turn ambiguity into something testable, and assess value, feasibility, risk and potential to scale.
- Strong user focus, with the ability to test solutions in practice, respond to feedback and improve usability, accuracy and adoption.
- Sound judgement around testing, data handling, security, governance and responsible AI, including the confidence to challenge unreliable outputs or conclude that AI is not the right solution.
- Able to work with a high level of autonomy, move quickly through experimentation and adapt as both the technology and the role evolve.
- Strong communicator and facilitator who can explain AI in straightforward business language, engage sceptical or time-poor stakeholders, and share knowledge across business and technical teams.
- Experience with Power BI, Microsoft Fabric, Power Platform, Copilot Studio, Azure or similar enterprise data and AI platforms is highly valued but not eliminatory.
- Fluency in English is required and adittional languages are a plus.
What we have to offer you?
- Health & Life Insurance;
- Meal allowance paid in Meal Card;
- Additional Days off: extra vacation day, employee’s birthday, volunteering day;
- Opportunity to grow professionally inside the Company;
- Possibility to participate in multicultural projects;
- Several internal activities aiming to promote our team´s wellbeing.
Learn more about Sodexo: YouTube - Sodexo.
Diversity & Inclusion Statement
Sodexo is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment based on merit.
We respect your privacy. Your personal data will be used exclusively for recruitment purposes, processed under GDPR regulations, and treated confidentially. For further details, contact privacy.sbs@sodexo.com.