Devoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals.
Our longstanding partnerships with AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise.
For 30 years, we havebeen guiding our customers on the next tech wave. The next revolution? AI.
With 11,000 tech natives from 25+ countries, we bring you highly skilled IT experts across Europe.
At Devoteam, tech is in our DNA, and it’s the people we empower with tech.
Now, with responsible AI, we’re ready to unlock a future where technology drives positive change.
Job Description
Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms?
If so, we want you to join our team at Devoteam.
The Role
As a Data & AI Product Owner, you’ll be a key member of our Data Strategy team. You’ll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products. You’ll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value.
The Product Owner, as a key member of the Data Strategy team, will typically collaborate closely with and receive direction from the Data Strategist. While the Data Strategist focuses on establishing high-level strategic objectives and overall priorities for data and AI initiatives, the Product Owner will translate these broad goals into concrete, actionable plans.
This involves defining specific capabilities needed to achieve the strategic vision, breaking down these capabilities into detailed user stories, and for example clearly outlining the “definition of done” for each. On a day-to-day basis, the Product Owner will then work directly with the development team, tracking the sprint cycle and increments, ensuring that the development aligns precisely with the defined capabilities and user stories, and ultimately delivering tangible value in support of the Data Strategist’s overarching vision.
Qualifications
What You’ll Do
Define and own the product vision and capabilities roadmap for our customer’s data and AI solutions.
Align data product strategy with overall business objectives, ensuring data assets deliver actionable insights and measurable value.
Act as the primary point of contact for diverse stakeholders (e.g., marketing, supply chain, finance, and operations teams), in order to gather requirements, define user stories and acceptance criteria.
Prioritize data product development and enhancements based on stakeholder needs, impact, and feasibility.
Enforce compliance with data governance policies, ensuring data products meet security, privacy, and quality standards.
Embed ethical use of data and AI models by design, and in alignment with legal and regulatory requirements (e.g. GDPR, EU AI Act).
Facilitate cross-functional collaboration and communication between business stakeholders, data engineers, BI engineers, data stewards and data analysts.
Collaborate closely with data engineers, data scientists, and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …).
Define and monitor KPIs to measure the success and quality of data products (e.g., reliability, accessibility, adoption, and business impact).
Capture qualitative user feedback to inform future iterations and improvements.
Ensure data products are well-documented, discoverable, and intuitive for end-users.
Monitor the execution of user acceptance testing if applicable.
Stay informed of emerging trends and technologies in the field of data, analytics and AI, continuously enhancing the value of data products.
Additional Information
Who You Are
You have 1-3 years of experience as a Product Owner, specifically within the data and/or AI domain.
You have proven experience working with agile and/or scrum methodologies.
You have proven experience in using JIRA or similar tools to manage, refine and track product backlogs.
You are familiar with the core services and concepts of at least one major cloud provider (Google Cloud, Azure, AWS).
Experience with data warehousing, ETL/ELT pipelines, real-time data streaming technologies, data mesh architectures and data mesh organisations is a plus.
Experience with data governance frameworks or principles is a plus.
You possess excellent communication, stakeholder management, and problem‑solving skills.
You are an analytical thinker with the ability to see the big picture while also managing and caring about the details.
Your sole focus is on creating value, not merely executing tasks or implementing technology.
You are proactive, self‑motivated, and comfortable working in a dynamic, fast‑paced consulting environment.
You are fluent in English, and are native Dutch or French speaker.
Are you ready to make a significant impact on our clients’ data and AI journeys?
REQUISITOS
The Role: We are seeking a highly skilled Senior Azure Cloud DevOps Engineer with deep experience (3-5 years) in automation, Azure‑native services, and modern DevOps practices.
You will build and manage cloud‑native solutions and automated deployment pipelines using Azure DevOps, GitHub Actions, and YAML to enhance delivery speed, system reliability, and operational efficiency.
You will design secure, scalable architectures across the Azure platform, while contributing to a high‑performance engineering culture within an Agile/Scrum environment.
This position requires strong hands‑on expertise in automation scripting and the ability to proactively improve system monitoring and observability.
Key Responsibilities: Build – Mastery – Innovate - Optimize
* Architect and Implement: Build robust Azure cloud solutions, leveraging services such as Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), API management, SQL Database and various Azure‑native components.
* DevOps Mastery: Define, optimize, and maintain Azure DevOps and GitHub Actions CI/CD pipelines, using Infrastructure as Code with Terraform, Bicep, and PowerShell scripting to streamline deployments, configuration updates, maintenance, and provisioning tasks.
* Innovate: Conduct proof‑of‑concepts for emerging Azure technologies and Gen AI applications.
* Platform integration: Integrate and manage key platform services, including Storage, Networking, Identity, and Monitoring, ensuring seamless end‑to‑end operations.
* Well‑Architected: Implement secure, scalable designs following best practices for availability, performance optimization, and cloud security.
* Collaboration: Work within Agile/Scrum teams, partnering with developers, cloud engineers, and stakeholders to deliver high‑quality, cloud‑ready solutions.
* Analytical skills: Diagnose and resolve complex issues in cloud and DevOps environments, applying strong problem‑solving and analytical skills.
* Optimize: Ensure solutions are cost‑effective, high‑performing, and reliably secure.
Toulouse. France | #Site Reliability Engineer
Missions
* Take on a prominent role in the architecture and design of web solutions.
* Work with the wider development team to scope out and develop new web applications for existing services.
* Develop a flexible and well‑structured back end architecture.
* Participate in code reviews, testing, and quality assurance processes to ensure high‑quality code.
* Help identify, escalate, resolve any technical issues and problems that might occur.
* Participate in code reviews, testing, and quality assurance to meet project goals and timelines.
* Provide technical guidance to junior developers and communicate effectively with clients and stakeholders.
Levallois‑Perret. France | #Delivery Manager
* Design, develop and maintain scalable, high‑performance fullstack applications (.NET + Angular).
* Contribute to architectural decisions and define technical solutions aligned with business goals.
* Write clean, efficient, and reusable code following best practices and design patterns.
* Conduct and participate in peer code reviews to maintain high‑quality standards.
* Mentor junior developers and support team growth through knowledge sharing.
* Collaborate with cross‑functional teams: product managers, UX/UI designers, QA, and business stakeholders.
* Build and execute unit tests to ensure code robustness and maintainability.
* Diagnose performance bottlenecks and implement long‑term, scalable solutions.
* Continuously seek ways to improve processes, technologies, and system architecture.
Levallois‑Perret. France | #Business Analyst
Rabat. Morocco | #Quality Assurance Engineer
Ostrava. Czech Republic | #Solution Engineer
The ITAM ServiceNow Consultant is responsible for designing, implementing, and optimizing IT Asset Management (ITAM) solutions within the ServiceNow platform. This role involves working closely with clients to understand their asset management needs, configuring ServiceNow modules, and ensuring the efficient tracking and management of hardware and software assets. The consultant will also provide expertise in best practices for ITAM processes and contribute to continuous improvement initiatives.
Your main responsibilities are:
Requirements Gathering and Analysis:
* Conduct client workshops and interviews to gather and analyze ITAM requirements.
* Translate business needs into technical specifications and functional designs.
* Document current and future state processes related to asset management
ServiceNow Configuration and Implementation:
* Implement and configure ServiceNow ITAM modules (Hardware Asset Management, Software Asset Management, etc.) to meet client requirements.
* Configure discovery tools and integrations (Discovery, ServiceWatch, Service Graph Connector, etc.) to accurately populate the Configuration Management Database (CMDB).
Data Management and CMDB Maintenance:
* Ensure data integrity and accuracy within the CMDB.
* Develop and implement data cleansing and normalization strategies.
* Establish and maintain asset lifecycle processes.
Testing and Deployment:
* Conduct thorough testing of ServiceNow configurations and customizations.
* Develop and execute test plans and test cases.
Training and Documentation:
* Develop and deliver training materials and workshops for end‑users and administrators.
* Create and maintain comprehensive documentation, including process flows, configuration guides, and user manuals.
Client Communication and Relationship Management:
* Maintain effective communication with clients throughout the project lifecycle.
* Provide regular status updates and address client concerns.
* Build and maintain strong client relationships.
* Stay up‑to‑date with the latest ServiceNow features and ITAM best practices.
* Identify opportunities for process improvement and optimization.
* Contribute to the development of internal knowledge base and best practice documentation.
We are seeking our next talents to work on data‑related projects (at Strategy, Business, and Operations levels).
The ideal candidate will have a deep understanding of data analysis, management, and visualization, coupled with strong problem‑solving and communication skills.
The Data Consultant will collaborate with clients and internal teams to assess data needs, develop strategies for effective data utilization, and implement solutions that drive business insights.
Responsibilities:
* Analyze complex datasets to identify trends, patterns, and insights.
* Interpret data to provide actionable recommendations for business improvement.
* Work closely with clients to understand their business goals and data requirements.
* Collaborate on the development of data strategies aligned with client objectives.
* Design and implement data management processes to ensure data accuracy, completeness, and security.
* Develop and maintain data documentation and metadata.
* Create visually appealing and insightful reports and dashboards.
* Communicate data findings effectively to both technical and non‑technical stakeholders.
* Identify and resolve data‑related issues and challenges.
* Propose innovative solutions to improve data processes and systems.
* Stay updated on industry trends and advancements in data technologies.
* Provide guidance on the selection and implementation of data tools and technologies.
Levallois‑Perret. France | #Cloud & Devops Engineer
Vos Missions :
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