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You provide software and application knowledge to support implementation of the given solutions.How you will contributeYou will ensure that delivered services are optimized to meet business demands and the service operations strategy, plan, measure, report and communicate service improvement initiatives, and serve as a consultant on issues and resolutions. You will also recommend actions that can be taken to optimize investments and benefits and to mitigate risks. This role will require you to identify suppliers, evaluate them, on-board new vendors, establish and run vendor governance; collaborate with management and follow-up on requisitions, purchase orders, invoices, and payments; work with project resources to provide design collateral and to configure software components so they are aligned with security policy and governance; and ensure adherence to development and configuration standards and processes.Main Responsibilities&nbsp;<ul><li>Sets out DevOps Platform strategy and roadmap in line with wider Business &amp; IT strategy to facilitate effective software deployment across the organisation</li><li>Leads the design and implementation of processes, practices and tools enabling CI/CD, maximising the speed and quality of software delivery and minimising unit costs across digital platforms</li><li>Manages build automation, release, deployment, and configuration activities of the DevOps platform, setting appropriate milestones &amp; KPIs and working within an Agile framework</li><li>Define CICD / Automation security requirements (e.g. least privilege principle).</li><li>Define security testing requirements (such as static/dynamic analysis security testing, vulnerability scanning, penetration testing, etc.).</li><li>Promote "security-left" (security coding convention, unit tests, static analysers), so that security should be built into the product, rather than applied to the finished product.</li><li>Manages tool and vendor selection across development automation activities to ensure that tooling is fit for purpose for an enterprise-grade software deployment automation &amp; DevOps platform</li><li>Owns, leads and drives systems engineering, software delivery automation and CI/CD practices across all digital platforms</li><li>Follows industry trends and developments to better meet wider business &amp; IT goals and ensure that the DevOps platform ecosystem is at the cutting edge of enterprise-grade software development automation systems</li><li>Bringing in the right “DevOps” mindset among the teams developing software, which would mean conducting training on tools and processes that makes software development and testing easier.</li><li>Drive increased maturity on the cloud DevOps capabilities including advanced CI/CD and metrics</li></ul>Qualifications:<ul><li>Bachelor’s degree in computer science, Business, a related discipline, or equivalent work experience</li><li>Good knowledge of DevOps CI/CD workflows, tools and integration points and experience integrating security into SDLC</li><li>Proven track record of architecting/implementing end to end pipelines that cover the entire SDLC.</li><li>Experience of having Implemented CI / CD tools such as GitHub, Bamboo, Jenkins, Connect All and JFrog including the build of pipelines.</li><li>Drive continuous improvement for supported applications, in areas such as monitoring, operational task automation, continuous integration, deployments and performance tuning.</li><li>Investigate and resolve complex and multi-faceted issues, spanning the entire technology stack, which requires working across teams and technology boundaries.</li><li>Proactively improve key metrics, such as up-time, application performance, and other key operational SLOs, SLAs.</li><li>Organized and prioritized work to complete assignments in a timely, efficient manner.</li></ul>

DevOps Engineer

As Data &amp; Analytics Sales Product Manager, you'll be responsible for enabling and evolving analytical business intelligence products for Sales Execution to support key business decisions, drive business improvements and deliver business value. Identify opportunities to leverage advanced analytics in the area of responsibility to support Sales digitization.&nbsp;How you will contributeYou will:&nbsp;<ul><li>Engage with and consult business stakeholders on analytical products to business problems, create user journeys.</li><li>Propose state-of-the-art solutions which fit into the overall Data and Analytics strategy, roadmap and solutions architecture</li><li>Lead product solution designensuringproduct management best practices (technical framework : coding standards, devops practices, technical handbooks , service operation guidelines )</li><li>Lead a product oriented delivery model consisting of product continuous improvement team, data scientist, data architects and engineers</li><li>Drive the implementation and adoption of analytical product end-to-end and accountable for their success over the product life cycle. Create OKR's, scorecards, playbooks.</li><li>Identify opportunities for agile analytics approaches andfor "Proof of Value" implementations</li><li>Create product roadmaps with lead markets and drive alignment across all to create a feature backlog. Also create backlog to reduce technical debt.</li></ul>​What you will bringA desire to drive your future and accelerate your career and the following experience and knowledge:<ul><li>8+ years of IT/IT facing and business/industry work experience, with experience in managing cross-functional teams or projects. Deep experience of sales execution processes required.</li><li>Minimum of 8 years of analytics experience, as well as data domains, data products and traditional business intelligence experience, within IT or business function</li><li>Technical experience desired : Power BI Management &amp; Models design, GCP technologies , ETLs (Talend), Agile Methodology, Devops framework. Others: Databricks, Python , Power Apps, Confluence&nbsp;</li></ul>No Relocation support availableBusiness Unit SummaryAt Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.We have a rich portfolio of strong brands globally and locally including many household names such as&nbsp;Oreo,&nbsp;belVita&nbsp;and&nbsp;LU&nbsp;biscuits;&nbsp;Cadbury Dairy Milk,&nbsp;Milka&nbsp;and&nbsp;Toblerone&nbsp;chocolate;&nbsp;Sour Patch Kids&nbsp;candy and&nbsp;Trident&nbsp;gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.Our 80,000 makers and bakers are located in more&nbsp;than&nbsp;80&nbsp;countries&nbsp;and we sell our products in&nbsp;over&nbsp;150&nbsp;countries&nbsp;around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Data & Analytics Sales Product Manager, Business Analytics

Mondelēz Consumer Solutions Global MDS (IT) Team is looking for an energetic and experienced candidate with strong AI infrastructure skills to join us during an exciting time of transformation. The GenAI Ops Engineer will be responsible for the reliable and efficient operation of Generative AI pipelines that power our Marketing Creative Agentic platform.This role involves Hands-On technical expertise as well as managing the end-to-end lifecycle of GenAI models (text, image, and in the future video), ensuring scalability, performance, and cost-effectiveness. The engineer will also play a key role in shaping the future of agentic architectures, working with emerging frameworks such as Google’s Agent2Agent (with ADK) and LangGraph, as we evolve our platform toward more intelligent, modular, and autonomous capabilities.The GenAI Ops Tech Engineer will work across MDS (IT) internal and external teams, collaborate with technology partners, and engage with business stakeholders. A strong foundation in AI, ML, and Cloud technologies will be essential for guiding both the current platform operations and future innovations.How you will contributeKey Responsibilities:<ul><li>Model Deployment and Management: Deploy, monitor, and maintain generative models (including LLMs and image generators) in a production environment, ensuring high availability and optimal performance.</li><li>Model Comparison &amp; Selection: Evaluate and compare various GenAI models based on accuracy, latency, cost, and relevance to specific content generation tasks.</li><li>Model Transformation &amp; Optimization: Apply fine-tuning, quantization, and other optimization techniques to enhance model performance and resource efficiency.</li><li>Designing, implementing, and optimizing generative AI models for various market applications, while evolving the platform with newer GenAI frameworks, agents, models.</li><li>Infrastructure Management: Design and manage the infrastructure supporting GenAI workloads, including compute, networking, and storage, primarily on GCP.</li><li>Performance Monitoring and&nbsp;Optimization:&nbsp;Implement&nbsp;robust monitoring and alerting systems to identify and address performance bottlenecks, latency issues, and other anomalies.</li><li>Cost&nbsp;Management:&nbsp;Optimize&nbsp;resource utilization and implement cost-saving measures to minimize the operational expenses associated with LLM infrastructure.</li><li>Agentic Framework Support: Experience of integration of agentic workflows using frameworks such as LangGraph and Google’s Agent2Agent (ADK), MCP, and support their deployment into production environments.</li><li>Collaboration: Work closely with data scientists, ML engineers, and platform teams to ensure seamless end-to-end delivery of GenAI solutions.</li><li>Security and&nbsp;Compliance:&nbsp;Implement&nbsp;security best practices to protect LLM infrastructure and data from unauthorized access and ensure compliance with relevant regulations.</li><li>Troubleshooting and Support: Act as a primary responder for GenAI-related operational issues, providing timely troubleshooting and resolution</li><li>Staying Current: Stay informed on advancements in GenAI and agentic systems, and proactively identify opportunities for innovation and process improvement.</li><li>Direct interactions with Architecture,&nbsp;Application/Platform,&nbsp;and Technical Product teams to guide technology selections.</li></ul>What you will bringRequired Skills:<ul><li>Proficient in Google Cloud Platform (GCP) services, particularly Vertex AI, BigQuery, GKE, Cloud Run, and Cloud Functions.</li><li>Experience deploying and optimizing LLMs, image generation models, or other GenAI models in cloud environments..</li><li>Experience with evolving technologies like MCP and A2A — and the ability to apply them in a business and marketing context</li><li>Ability to design and implement scalable AI computing infrastructures and application stacks for efficient ML operations</li><li>Familiarity with emerging agentic architectures, including LangGraph, Agent2Agent (ADK), or similar frameworks.</li><li>Understanding of the technical aspects of RAG models, how to retrieve relevant information from knowledge bases and integrate it with LLM output, including their training process and how retrieved information is used to enhance generation</li><li>Working knowledge of NLP, computer vision, and multimodal AI model operations..Model Transformation&nbsp;Techniques:&nbsp;Experience&nbsp;with techniques like quantization, pruning, and knowledge distillation for optimizing LLMs.</li><li>Familiarity with ML frameworks such as Transformers, PyTorch, or TensorFlow</li><li>Containerization and&nbsp;Orchestration:&nbsp;Proficiency&nbsp;in containerization technologies (e.g., Docker, Kubernetes) and orchestration tools.</li><li>Hands-on experience with monitoring and logging solutions, including open-source tools (e.g., Prometheus, Grafana, ELK stack) and cloud-native platforms such as Google Cloud Logging and Cloud Monitoring.</li><li>Automation:&nbsp;Strong&nbsp;scripting and automation skills (e.g., Python, Bash).</li><li>Knowledge of security best practices in cloud and AI infrastructure.</li><li>Excellent communication skills, capable of articulating technical visions and strategies to a diverse audience, fostering cross-functional collaboration and consensus.</li><li>Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth.</li><li>Evaluation of ML and LLM models, required</li></ul>No Relocation support availableBusiness Unit SummaryAt Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.We have a rich portfolio of strong brands globally and locally including many household names such as&nbsp;Oreo,&nbsp;belVita&nbsp;and&nbsp;LU&nbsp;biscuits;&nbsp;Cadbury Dairy Milk,&nbsp;Milka&nbsp;and&nbsp;Toblerone&nbsp;chocolate;&nbsp;Sour Patch Kids&nbsp;candy and&nbsp;Trident&nbsp;gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.Our 80,000 makers and bakers are located in more&nbsp;than&nbsp;80&nbsp;countries&nbsp;and we sell our products in&nbsp;over&nbsp;150&nbsp;countries&nbsp;around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

GenAI ML/LLM Operations Engineer

You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights.About the roleIn this role you will:<ul><li>Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.&nbsp;</li><li>Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.&nbsp;</li><li>Support the team in analyzing and deriving value from data using application methods such as statistics, time series modelling, machine learning and data visualization. </li><li>Help the team determine, create and maintain the best time series / machine learning models be to use, taking into accountSKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.</li><li>Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.</li><li>Collaborate with stakeholders toidentify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.</li></ul>The experience we are looking for:<ul><li>A desire to drive your future and accelerate your career and the following experience and knowledge:</li><li>Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.</li><li>5+ years of experience in data science, preferably with a focuson time series forecasting,FMCG, Food &amp; Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.</li><li>Experience in application of ML concepts and methodologies (particularlytime series modeling, but also regression, classification, feature engineering and selectionetc.)</li><li>Proficiency in SAS, SQL, Python,and other programming languages to communicate effectively with technical teams.&nbsp;</li><li>Excellent communication and presentation skills, ability to explaincomplex analytical topics to both technical and non-technical stakeholders.</li><li>Advanced English</li></ul>What we offer<ul><li>Exciting work in a multi-cultural team of bright minds.</li><li>Global career opportunities.</li><li>Flexible remote work options, or – if you prefer – access to one of our modern offices.</li><li>All kinds of benefits depending on the location.</li></ul>

Manager Data Science

We are seeking a strategic and business-savvy Regional Tech Product Manager to lead the Consumer Data Platform (CDP) roadmap and act as the regional engagement lead for a suite of global digital marketing products, including web platforms, media tools, and generative AI solutions. This role is critical to scaling our digital marketing transformation and unlocking personalized, data-driven consumer experiences across the MEU Region.On top of that, the person in this role will play the role of Global CRM Product Manager, overseeing global implementation of CRM capability partnering with businesses leveraging CRM capability as an activation tool.As a member of our IT Marketing Technology team, you will drive product adoption, shape implementation strategies, and partner closely with regional marketing, privacy, consumer care teams and global product teams to bring digital products to life in-market.Key Responsibilities as MEU Data Platform &amp; CRM Product Owner<ul><li>Own and evolve the regional product roadmap for the CDP, aligning with global vision and market needs</li><li>Own Global roadmap of the CRM Capability, partner with Business CRM Global Owner to define offering, adoption plans for CRM capability.</li><li>Partner with local marketing, media, and analytics teams to drive adoption and activation of CDP and global digital products</li><li>Define and manage operating models, implementation plans, and budget alignment across markets</li><li>Serve as the regional point of contact for global marketing tech products — including websites, media activation platforms, and GenAI solutions</li><li>Collaborate with global product and engineering teams to influence roadmaps based on regional insights</li><li>Ensure adherence to legal, data privacy, and Responsible AI standards in deployment and operation</li><li>Collect requirements from regional and local teams translating business requirements to technical scope</li><li>Collaborates with Architecture team, Application/Platform, Technical Product teams&nbsp;to make right technology choices</li><li>Be very creative and curious and make regular contributions to new product ideas based on market need, usage conclusions and industry trends.</li><li>Understand the technology stack, dependencies between applications, key integrations and data flows</li><li>Hands on guidance &amp; troubleshooting of implementations within multi-agency digital projects</li><li>Provide technical expertise and best practice guidance</li></ul>We are looking for candidate with:<ul><li>8+ years of experience in IT, digital marketing technology, or product management</li><li>Demonstrated experience leading digital product implementation across multiple markets</li><li>Ability to set strategic direction and drive execution through collaboration with a cross-functional team.</li><li>Strong understanding of CDPs, CRM activation capabilities, orchestration capabilities, MarTech ecosystems, and digital marketing workflows</li><li>Excellent stakeholder engagement and communication skills</li><li>Ability to understand, explain and present technical ideas to both technical and non-technical audiences</li><li>Experience working in global matrixed organizations preferred</li><li>Familiarity with Responsible AI, data governance, and privacy frameworks is a plus</li><li>Experience with Agile development methodologies</li><li>Proactively identify improvements areas, problem solving skills, attention to details, can-do attitude</li><li>Curiosity and energy to continually learn new marketing technologies</li><li>Fluent in English</li></ul>Nice to have:<ul><li>Certifications in&nbsp;ITIL, SAFe Agile</li><li>Familiar with basics of cloud environments (GCP)</li></ul>

Regional Tech Product Manager – Consumer Data Ecosystem & Digital Marketing Products

You provide technology and infrastructure expertise and set the direction for your area of expertise.How you will contributeYou will oversee in the planning and execution of technical operations, lead an internal team and partner with external suppliers. Using your deep technical and market knowledge and your thorough understanding of our business goals, you will ensure we have the right infrastructure solutions in place for the future. In addition, you will direct programs to implement regional and global Infrastructure strategies, provide input into financial planning and controls for infrastructure on a regional and global level, and manage the complexity of regional service contracts, in-country billing and cross-charging.What you will bringA desire to drive your future and accelerate your career. You will bring experience and knowledge in:<ul><li>Managing staff and line responsibilities</li><li>Managing regional, large-scale infrastructure services</li><li>Service delivery, support and excellence</li><li>Program/Project management (i.e., managing multiple projects for budgets, resources, schedules and quality)</li></ul>We are seeking a highly skilled and experienced Automation and Integration lead to drive our digital transformation journey by designing, implementing and maintaining cutting-edge cloud-based solutions while leading a team of developers. The ideal candidate will have a strong background in decoupled architectures, serverless computing, AWS cloud services and with a proven track record of successfully managing large-scale migration projects from On-prem to AWS while building robust automation frameworks and seamless system integrations. This role requires strategic leadership, hands-on technical expertise, and the ability to guide organizations through complex modernization initiatives while continuously extending AWS automation capabilities and developing innovative integration solutions.Key Responsibilities - What You'll Do:<ul><li>Design and implement robust automation frameworks using AWS services (Lambda, Step Functions, EventBridge, etc.) to streamline operations and optimize performance.</li><li>Lead the charge in migrating our on-premises applications to the AWS cloud, developing comprehensive strategies (lift-and-shift, re-platforming, etc.) to ensure a smooth and successful transition.</li><li>Architect and develop scalable front-end (ReactJS, TypeScript, Tailwind CSS) and back-end (Python) services that meet our evolving business needs.</li><li>Guide and inspire a team of talented developers, fostering a collaborative and innovative environment.</li><li>Implement Infrastructure as Code (Terraform/OpenTofu) and build robust CI/CD pipelines to automate deployments and ensure continuous integration.</li></ul>Essential Skills &amp; Experience - What You Bring:<ul><li>12+ years in software development, including 4+ years in a leadership or management role.</li><li>Expert-level knowledge of serverless architectures, microservices, and decoupled system design.</li><li>Proven track record of successfully migrating enterprise applications from on-premises to AWS.</li></ul>​Technical Prowess:Deep expertise in:<ul><li>AWS services (Lambda, Step Functions, DynamoDB, etc.)</li><li>ReactJS, TypeScript, Tailwind CSS.</li><li>Python</li><li>Terraform/OpenTofu.</li><li>CI/CD tools (GitHub Actions, GitLab, Spacelift).</li><li>PostgreSQL database administration.</li><li>Excellent strategic planning, problem-solving, and team management skills.</li><li>Exceptional communication skills and the ability to work effectively with cross-functional teams and executive stakeholders.</li><li>Experience guiding organizations through technology transformations.</li></ul>Additional &nbsp;Skills:<ul><li>AWS Certifications (Solution Architect Associate, Developer Associate).</li><li>Test-Driven Development (TDD) experience.</li><li>Experience with Amazon Q.</li><li>Datadog experience</li></ul>

Network Automation and Integration lead

Mondelēz Consumer Solutions Global MDS (IT) Team seeks a forward-thinking Consumer Data Platform Tech Lead to lead the creation and evolution of a Consumer Data Ecosystem solution. This role is central to our efforts in harnessing data to drive personalization, ensuring data privacy, and fostering integrations that amplify consumer experiences. The Tech Lead will play a critical role in working alongside CRM/ESP, Social, and Media Data Platform teams, driving both technology and business innovation within our Consumer Data Ecosystem.Key Responsibilities:<ul><li>Spearhead the technical development and architectural design of the CDP at the Global level, focusing on scalability, data integrity, and seamless integration capabilities</li><li>Engage with organizational stakeholders to gather requirements, pinpoint technical gaps, and engineer solutions that enhance data utility and consumer insights.</li><li>Lead the strategy for integrating diverse data sources and systems across the Consumer Data Ecosystem, ensuring robust, secure, and compliant data flows.</li><li>Collaborate with the Product Manager to detail technical specifications, roadmaps, and quality standards, with an emphasis on achieving top-tier performance, security, and privacy benchmarks.</li><li>Direct interactions with Architecture, Application/Platform, and Technical Product teams to guide technology selections, favoring scalable and cost-effective solutions.</li><li>Uphold stringent adherence to Mondelēz's Infosec and Privacy standards through proactive engagement with relevant internal teams, applying privacy by design principles throughout the CDP lifecycle.</li><li>Innovate and contribute new ideas for product enhancement based on comprehensive market analysis, consumer behavior insights, and emerging industry trends.</li><li>Facilitate knowledge sharing and collaborative problem-solving through workshops and design thinking sessions with global and regional teams, promoting a culture of continuous learning and improvement.</li></ul>Required Skills:<ul><li>Demonstrated expertise in the consumer data domain, with in-depth knowledge of CDPs, Data Segmentation, Consumer Identity, and Data Privacy/Consent Management frameworks.</li><li>Proficient in Google Cloud Platform (GCP) services, with hands-on experience in architecting and deploying scalable cloud-based solutions for data processing, reporting, and analytics.</li><li>Advanced skills in data integration techniques, ETL processes, and familiarity with APIs and web services for connecting disparate data sources in a secure and efficient manner.</li><li>Extensive experience in leading technical teams and managing complex IT projects from conception through to implementation, ensuring alignment with strategic business objectives</li><li>Robust background in marketing technologies and digital transformation initiatives, with a strong understanding of data-driven marketing strategies and analytics.</li><li>Excellent communication skills, capable of articulating technical visions and strategies to a diverse audience, fostering cross-functional collaboration and consensus.</li><li>Strategic and analytical thinker, adept at setting technical direction, prioritizing projects, and mobilizing teams to deliver innovative solutions.</li><li>Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth.</li><li>Familiarity with GCP's analytics and machine learning services, including BigQuery, Dataflow, AI Platform, and their application in enhancing consumer data insights and personalization efforts.</li></ul>As a Tech Lead at Mondelēz International, you'll be at the forefront of our digital transformation, leveraging your expertise to shape the future of how we engage with consumers through data-driven insights and innovations.

Θέσεις Εργασίας Ελλάδα, Mondelz-international, Πληροφορική

devops engineer

Mondelēz International

data & analytics sales product manager, business analytics

Mondelēz International

genai ml/llm operations engineer

Mondelēz International

manager data science

Mondelēz International

regional tech product manager – consumer data ecosystem & digital marketing products

Mondelēz International

network automation and integration lead

Mondelēz International

global tech lead - consumer data ecosystem

Mondelēz International