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As a Jr. Key Account Manager, you will be responsible for developing and successfully implementing the New Channels commercial plan, strengthen and expand Mondelēz ’s position within the assigned customers and continuously bringing new customers – covering white spaces.How you will contributeYou will:&nbsp;<ul><li>Be Accountable for maintaining and developing&nbsp;strategic growth plans, based on market segmentation with a focus on white spaces with potential.</li><li>Create &amp; Develop Customer&nbsp;Business Plans, co-lead the&nbsp;negotiations&nbsp;and complete annual&nbsp;agreements.</li><li>Build collaborative business relationships with internal (Marketing, Trade Marketing, CS&amp;L, Finance) &amp; external stakeholders.</li><li>Support the Team with focused sales effort against&nbsp;key commercial priorities.</li><li>Apply&nbsp;Perfect Store&nbsp;mentality adjusted per segment.</li><li>Manage the customer relationship effectively via&nbsp;portfolio management,&nbsp;listings,&nbsp;distribution,activation&nbsp;based on&nbsp;ROI,&nbsp;penetration,&nbsp;awareness.</li><li>Carry out comprehensive and timely&nbsp;analysis&nbsp;of business performance for all customers in your portfolio and take corrective&nbsp;action&nbsp;to ensure delivery of agreed annual KPI’s.</li></ul>What you will bringA desire to drive your future and accelerate your career and the following experience and knowledge:•&nbsp;&nbsp;Strong&nbsp;analytical,&nbsp;organizational,&nbsp;planning&nbsp;skills in a fast-paced environment. Comfortable dealing with ambiguity.•&nbsp;&nbsp;&nbsp;Agile,&nbsp;results&nbsp;oriented, problem&nbsp;solving, setting&nbsp;priorities&nbsp;and&nbsp;positive&nbsp;attitude.•&nbsp;&nbsp;&nbsp;Very good&nbsp;negotiation&nbsp;skills.•&nbsp;&nbsp;&nbsp;Great&nbsp;communication&nbsp;and&nbsp;presentation&nbsp;skills.•&nbsp;&nbsp;&nbsp;College or University degree. Master’s degree is a plus.•&nbsp;&nbsp;&nbsp;&nbsp;Sales&nbsp;Background at least +3 years, preferably in FMCG sector at Field Sales or Key Account Management. Experience at New / Special Channels is a plus.•&nbsp;&nbsp;&nbsp;&nbsp;Fluency in&nbsp;English&nbsp;&amp;&nbsp;Greek.•&nbsp;&nbsp;&nbsp;&nbsp;Advanced MS&nbsp;Office&nbsp;skills (Excel, Word, PowerPoint)

Jr. Key Account Manager New Channels 139104 

We are seeking an experienced Supply Chain Analytics Lead to drive data&nbsp;transformation&nbsp;across our supply chain operations&nbsp;in Europe. The ideal candidate will combine deep expertise in data analytics, SAP systems, and supply chain processes with&nbsp;solid&nbsp;leadership and communication skills.What you will bringA desire to drive your future and accelerate your career and the following experience and knowledge:Data &amp; Analytics Expertise:<ul><li>Proven experience creating and implementing data products in a&nbsp;supply chain&nbsp;context.</li><li>Knowledge of cloud databases and data warehousing solutions.&nbsp;(Google Cloud and Big Query Preferred)</li><li>Experience&nbsp;in data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Data Mesh or Data as a Product Frameworks is a plus.</li></ul>ERP/SAP Knowledge:<ul><li>In-depth understanding of SAP architecture and data flow across different modules.</li><li>Expertise in extracting, transforming, and loading SAP data for analytics purposes.</li><li>Comprehensive knowledge of SAP modules related to the Product Supply Lifecycle:</li><li>Ideally&nbsp;knowledge&nbsp;of&nbsp;SAP Business Warehouse (BW) and its integration with analytics tools.</li><li>Experience with SAP HANA and other SAP analytics solutions.</li></ul>Functional Supply Chain Knowledge:<ul><li>Proven expertise in supply chain analytics, particularly in:</li><li>Customer Service &amp; Logistics</li><li>Inventory Management</li><li>Order to Cash processes</li><li>Understanding of logistics operations, including:</li><li>Warehouse Management systems and optimization</li><li>Transportation Management systems and route optimization</li><li>3PL (Third-Party Logistics) management and integration</li><li>Knowledge of supply chain KPIs and performance metrics</li><li>Understanding of global supply chain trends and best practices</li></ul>Interpersonal and Leadership Skills:<ul><li>Excellent communication skills, with the ability to convey complex analytical insights to both technical and non-technical stakeholders.</li><li>Strong stakeholder management capabilities, including experience working with executives.</li><li>Proven project management skills, including the ability to lead cross-functional teams.</li><li>Open-minded approach to problem-solving, with a willingness to explore innovative solutions.</li><li>Ability to mentor and develop junior team members in analytics and supply chain concepts.</li><li>Strong critical thinking and decision-making skills.</li><li>Adaptability and resilience in a&nbsp;ever&nbsp;changing environment.</li></ul> More about this roleEducation / Certifications:While specific certifications are not required, we are seeking a professional with functional experience in various fields of SAP Supply Chain modules

Supply Chain Data Analytics Specialist 138161

This role involves 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 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 Optimization:&nbsp;Implement robust monitoring and alerting systems to identify and address performance bottlenecks, latency issues, and other anomalies.</li><li>Cost Management:&nbsp;Optimize 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 Compliance:&nbsp;Implement 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, Application/Platform, 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 Techniques:&nbsp;Experience 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 Orchestration:&nbsp;Proficiency 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 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><li>(Nice to have) 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></ul>

Gen AI ML/LLM Ops Manager 137324

You plan, develop and execute capital projects by supporting technical developments, feasibility perspectives of engineering-related activities in supply chain and capital expense project execution to support growth, world-class manufacturing and productivity with the highest levels of quality, safety and environmental requirements. You will follow Mondelēz business and innovation processes in project management and ensure that Mondelēz standards are adhered to.How you will contributeTo ensure that accurate budgets, plans and fit-for-purpose technical solutions are delivered, you will work with key stakeholders to define and deliver the capital and technical agendas during the development phases of capital investment projects. You will develop capital budgets according to the contract and forecast cash flow, ensure that engineering developments and standards are implemented, and support the development and implementation of state-of-the art processes and equipment strategies to optimize resources, harmonize assets and rollout best practices. In this role, you will support capital project execution and will be accountable for the quality and results of the capital projects per Mondelēz standards, and our business and innovation processes in project management.What you will bringA desire to drive your future and accelerate your career. You will bring experience and knowledge in:<ul><li>Project management skills</li><li>Leading to work effectively across cross-functional teams and influencing stakeholders</li><li>Senior-level technical expertise across engineering disciplines</li></ul>

Senior Project Engineer 137116 

The successful candidate will be proficient at managing risk assessments of both third parties and internal technologies. In addition, the candidate will be performing compliance activities related to technology assurance areas around access management, vulnerability management and configuration management. Candidate will also demonstrate ability and experience in governance related activities including administrative management of risk and control registers as well as policies and standards.How you will contributeRisk Management Responsibilities<ul><li>Execute risk assessment testing supporting the Risk Manager.</li><li>Document risk assessment results.</li><li>Support Risk Manager in drafting risk assessment reports.</li><li>Perform administrative management of risk register (additions/editions/deletions, etc).</li><li>Document risk acceptance/exemptions that have been approved per the program.</li><li>Manage quarterly/annual review of risk acceptance/exceptions.</li><li>Manage risk assessment results in relevant dashboards.</li></ul>Compliance Responsibilities<ul><li>Perform quarterly compliance assurance testing.</li><li>Document compliance testing results.</li><li>Maintain Management Action Plan (MAP) catalog with due dates.</li><li>Manage monthly audit MAPs. Includes the timely communication of open MAPs an escalation as needed of risks to completing MAPs at their agreed delivery dates.</li><li>Provide administrative support for ad-hoc external audits.</li><li>Support compliance program reporting activities.</li></ul>Requirements<ul><li>3 years in Information Security field, with at least 2 years working in GRC.</li><li>Experience with GRC tools (e.g., Archer).</li><li>Knowledge of security concepts and methodologies such as risk assessments, risk &amp; controls, policies &amp; standards, enterprise security strategies, network, and cloud security.</li><li>Knowledge of security frameworks such as CIS and NIST.</li><li>Excellent written and verbal communications skills, including presentational skills and able to clearly communicate issues to management and other key stakeholders.</li></ul>

Senior GRC Analyst 136259 

We’re looking for a motivated and detail-oriented Junior IAM Engineer to join our growing team. This role is a great opportunity for someone looking to start or grow their career in cybersecurity and identity management. You will support the design, implementation, and maintenance of IAM solutions that help ensure secure access to systems and data across the organization.How you will contribute:<ul><li>Support the configuration and maintenance of IAM tools (e.g., AD, EntraID/Azure AD, SailPoint, Ping, CyberArk, etc.)</li><li>Assist in provisioning, deprovisioning, and managing user access across systems</li><li>Collaborate with IT Security teams to troubleshoot IAM related issues</li><li>Assist with troubleshooting access issues and technical problems</li><li>Participate and assist in deployment of the internal projects</li><li>Document IAM processes and contribute to continuous improvement</li></ul>More about this role:Skills and Qualifications<ul><li>2+ years of experience in IAM</li><li>Bachelor’s degree in computer science, Information Security, or related field (or equivalent experience)</li><li>Familiarity with authentication protocols (e.g., SSO, MFA, LDAP, SAML, OAuth)</li><li>Exposure to IAM tools (SailPoint, Okta, One Identity, AD, Azure AD, SSO/MFA, etc.)</li><li>Basic understanding of security principles and familiarity with Windows, Linux, and/or Cloud platforms.</li><li>Ability to quickly learn and adapt to new technologies, tools, and systems</li><li>Strong attention to detail and willingness to learn</li><li>Self-motivation and ability to take a pro-active approach to work assignments</li><li>Good communication and teamwork skills</li><li>Fluency in English language required.</li></ul>

Junior Identity and Access Management Engineer

As an Insights Specialist - Bakery, you will provide compelling insights and engage with customers and key account teams. You will identify and track category opportunities that support growth or mitigate risk, applying your insights across category, shopper, and consumer metrics by analyzing and translating multiple data sources.How you will contributeYou will:<ul><li>Develop and execute selling strategies related to innovation, distribution, merchandising, and promotional plans for the Bakery category.</li><li>Serve as a key link between Customer Business Teams (CBTs) and the Category Innovation, Marketing, and Equity teams to ensure strategies and tactics align with customer needs.</li><li>Build category and customer plans in collaboration with Category teams, Insights, and CBTs.</li><li>Act as the internal category expert, creating compelling, actionable, and measurable category plans.</li><li>Provide thought leadership internally and externally on brand and category initiatives (e.g., promotional strategy, budget planning).</li><li>Lead the delivery of category dashboards and fundamentals, recommending corrective actions to ensure targets are met.</li><li>Continuously assess baseline volume opportunities/risks and drive initiatives to optimize category performance.</li></ul>What you will bringA desire to drive your future and accelerate your career, along with experience and knowledge in:<ul><li>Category development, key accounts, market insight analysis, and driving growth through category leadership.</li><li>Having a future-focused mindset, demonstrating curiosity about industry trends, digital solutions, and consumer innovation, and translating opportunities into actionable business plans.</li><li>Delivering strategic plans, measuring and monitoring results, and making recommendations to achieve growth targets.</li><li>Influencing stakeholders and interacting effectively with others, demonstrating courage and resilience when presenting alternative points of view.</li><li>Strong analytical skills and business acumen.</li><li>Proven experience in the fast-moving consumer goods (FMCG) industry is a distinct advantage.</li></ul>Functional&nbsp;Competencies<ul><li>Category &amp; shopper insights</li><li>Data-driven decision making</li><li>Customer engagement</li><li>Learning agility</li></ul>Career Experience Required<ul><li>Minimum 3+ years of professional experience with a strong background in commercial and/or marketing (Sales/CP&amp;A/Marketing).</li><li>University degree in a related field is a plus.</li><li>Strong commercial acumen and a solid understanding of data and analytics.</li><li>Strong stakeholder management skills.</li></ul>

Insights Specialist Bakery TT & Cyprus 137127

You will be crucial in supporting our business by&nbsp;leading a team of data scientists, supporting them in&nbsp;applying the best analytical methods&nbsp;to improve the statistical forecast and overcome business challenges.&nbsp;You will work with various stakeholders to&nbsp;determine&nbsp;how to use business data for business solutions/insights. About the roleIn this role you will:<ul><li>Build and&nbsp;develop&nbsp;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&nbsp;by&nbsp;ensuring a supportive and inclusive work environment.&nbsp;</li><li>Support the team in analyzing and deriving&nbsp;value from data&nbsp;using&nbsp;application methods such as&nbsp;statistics, time series modelling, machine learning and&nbsp;data visualization. </li><li>Help the team&nbsp;determine,&nbsp;create&nbsp;and&nbsp;maintain&nbsp;the best&nbsp;time series / machine learning&nbsp;models be to use,&nbsp;taking into accountSKU demand behavior using segmentation strategies, to generate high quality&nbsp;statistical&nbsp;demand forecast with low forecast error and bias.</li><li>Partner&nbsp;with&nbsp;Demand Planning teams&nbsp;in markets&nbsp;to understand business challenges, create valuable,&nbsp;actionable&nbsp;data&nbsp;insights, and communicate findings to the&nbsp;business.</li><li>Collaborate with stakeholders&nbsp;toidentify&nbsp;and clarify business or&nbsp;technical&nbsp;questions&nbsp;that need to be answered. Provide feedback to translate and refine business questions into&nbsp;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&nbsp;3&nbsp;years of experience building and developing high-performing teams.</li><li>5+&nbsp;years of experience in data science, preferably&nbsp;with a&nbsp;focuson&nbsp;time series forecasting,FMCG, Food &amp; Beverages,&nbsp;Retail&nbsp;or similar industries&nbsp;with a&nbsp;proven&nbsp;track record&nbsp;of delivering&nbsp;effective&nbsp;business solutions.</li><li>Experience in application of ML concepts and methodologies (particularlytime series modeling, but also&nbsp;regression,&nbsp;classification, feature engineering and selectionetc.)</li><li>Proficiency&nbsp;in&nbsp;SAS,&nbsp;SQL,&nbsp;Python,and other programming languages to communicate effectively with technical teams.&nbsp;</li><li>Excellent communication and presentation skills,&nbsp;ability to&nbsp;explaincomplex&nbsp;analytical&nbsp;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&nbsp;one of our&nbsp;modern offices.</li><li>All kinds of benefits&nbsp;depending on the location.</li></ul>

Manager Data Science

You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.&nbsp;How you will contributeYou will:&nbsp;<ul><li>Analyze and derive value from data through the application methods such as statistics, time series modelling, machine learning and data visualization.&nbsp;&nbsp;</li><li>Determine, create and maintain the best time series / machine learning models be to be used, by considering SKU demand behavior using segmentation strategy, to generate high quality demand statistical forecast with low forecast error and bias&nbsp;</li><li>Collaborate with Demand Planners to identify right drivers and understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business.&nbsp;&nbsp;</li><li>Develop data hypotheses and methods, train and evaluate forecasting models, share insights and findings, and continue to iterate with additional data.&nbsp;&nbsp;</li></ul>What you will bringA desire to drive your future and accelerate your career and the following experience and knowledge:&nbsp;<ul><li>Experience in application of ML concepts and methodologies (especially time series modeling, but also regression, classification, feature engineering and selection etc.)&nbsp;</li><li>Knowledge/experience with statistical programming languages including SAS, SQL, etc., to process data and gain insights from it&nbsp;</li><li>Good communication skills to promote cross-team collaboration&nbsp;</li><li>Strong analytical and presentation skills&nbsp;&nbsp;</li><li>Advanced English&nbsp;&nbsp;</li></ul>Education / Experience<ul><li>Student of or a degree in quantitative field of Big data, Statistics, Econometrics, Computer Science or similar&nbsp;&nbsp;</li><li>Certificates of SAS Base, SAS Viya, etc, will be an advantage&nbsp;</li><li>Experience on working with FMCG, Food &amp; Beverages, Retail or similar industry data with understanding the business process with be advantage&nbsp;&nbsp;</li></ul>What we offer<ul><li>Exciting work in a multi-cultural team of bright minds&nbsp;</li><li>Flexible remote work options, or – if you prefer – access to a modern office&nbsp;</li><li>Opportunity to learn new technologies such as Python, pySpark, AWS&nbsp;</li><li>Opportunities to develop further in our Data Science community as well as in the international organization&nbsp;</li><li>All kinds of benefits depending on the location&nbsp;</li></ul>

Data Scientist/ Data Analyst 136828

The&nbsp;Global Environmental Program Manager&nbsp;will develop, implement, and monitor global environmental programs including waste reduction, energy management, GHG emissions reduction and water efficiency. This role requires a deep understanding of environmental regulations, sustainability practices, and cross-functional coordination to align local practices with global goals. The Program Manager will work closely with regional leaders, HSE, Engineering, and the global sustainability team to drive&nbsp;technical solutions and other&nbsp;initiatives that improve environmental performance and compliance across the organization.Key Responsibilities:Program Development &amp; Strategy:<ul><li>Design and implement&nbsp;strong governance for environmental programs across regions.</li><li>Develop an overarching strategy for environmental stewardship including waste reduction, water usage, energy efficiency, and GHG emissions reduction.</li><li>Develop a robust Global road map aligned with regional leaders.</li></ul>Data Management &amp; Analysis:<ul><li>Manage and analyze data on global environmental performance while supported by the Sustainability Data Managers to monitor progress against established goals.</li><li>Create and maintain dashboards to report key metrics, identify trends, suggest improvements and benchmark.</li></ul>Regulatory Compliance:<ul><li>Ensure compliance with international, regional, and local environmental regulations and standards (CDP, DJSI, EU CRSRD).</li><li>Serve as the primary point of contact for external environmental audits and certifications.</li></ul>Project Management:<ul><li>Identify best practices &amp; clean technologies to be implemented and rolled out across the manufacturing sites.</li><li>Coordinate and track the implementation of environmental projects focusing on priority sites/Business Units/regions to ensure their contribution to environmental goals.</li><li>Provide strategic guidance and support to regional teams implementing local environmental projects aligned with global targets.</li></ul>Stakeholder Engagement &amp; Collaboration:<ul><li>Partner with cross-functional teams (e.g., Manufacturing, R&amp;D, Supply Chain, Corporate Sustainability, HSE, Engineering) to ensure environmental goals are understood and prioritized across the business.</li><li>Work with external stakeholders, NGOs, and environmental agencies to stay current on best practices and industry trends.</li></ul>Training &amp; Education:<ul><li>Develop training programs to educate employees on environmental initiatives, sustainability practices, and their roles in supporting the company’s environmental goals.</li><li>Foster an environmentally conscious culture by regularly communicating the progress and impact of environmental programs.</li></ul>Continuous Improvement:<ul><li>Evaluate and improve existing environmental processes, programs, and systems for efficiency and effectiveness.</li><li>Identify areas for innovation and growth, including emerging technologies, to enhance the company’s environmental performance.</li></ul>Qualifications:<ul><li>Education: Bachelor’s degree in Environmental Science, Sustainability, Industrial Engineering, Environmental Engineering, or a related field. Master’s degree preferred.</li><li>Experience: 7+ years of experience in environmental management, sustainability, or a related field, preferably within a global or multi-site organization. 3+ years of experience leading global roles and working across regions and or Business Units.</li><li>Proven experience with environmental data management systems, reporting, and compliance.</li><li>Strong project management skills with the ability to lead complex projects across multiple regions.</li><li>Technical knowledge related to clean carbon technologies, water efficiency, and waste reduction.</li><li>Excellent analytical skills with experience in data collection, analysis, and reporting.</li><li>Effective communication and presentation skills, with an ability to engage and influence stakeholders at all levels.</li><li>Certifications: relevant environmental/sustainability certifications are a plus.</li></ul>

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