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Ο ρόλος του Συμβούλου Υποστήριξης Εφαρμογών Λογιστικού Γραφείου είναι η διαχείριση και εξυπηρέτηση αιτημάτων που αφορούν στη χρήση των εφαρμογών της Epsilon Net για τα Λογιστικά Γραφεία και τα Λογιστήρια εταιριών. Ο μεγαλύτερος όγκος των αιτημάτων εξυπηρετούνται τόσο τηλεφωνικά, όσο μέσω livechat και των social media, αξιοποιώντας όλα τα σύγχρονα εργαλεία της σύγχρονης εποχής, διασφαλίζοντας ταυτόχρονα την άρτια εξυπηρέτηση και εκπαίδευση των πελατών μας.Η καθημερινότητα του τμήματος μας είναι γεμάτη προκλήσεις, γνώση και συνεργασία. Στόχος μας είναι οι πελάτες μας να απολαμβάνουν πάντα τη βέλτιστη εμπειρία εξυπηρέτησης και παράλληλα όλοι οι άνθρωποι της ομάδας μας να προοδεύουν και να απολαμβάνουν την εργασία τους. Αυτό αποδεικνύεται από τις συνεχείς βραβεύσεις του Τμήματος, όπως, μεταξύ άλλων, διάκριση για την Ποιοτική Εξυπηρέτηση Πελατών αλλά και Καλύτερου Εργασιακού Περιβάλλοντος, αντίστοιχα.Ο ρόλος αποτελεί την αφετηρία μιας λαμπρής πορείας ενδοτμηματικά, ενδοεταιρικά και ενδοομιλικά, καθώς προσφέρει πληθώρα γνώσεων και ευκαιριών για εξέλιξη και πρόοδο!Αν λοιπόν, είσαι φιλόδοξος, έχεις άριστες επικοινωνιακές δεξιότητες και πελατοκεντρική αντίληψη, διαθέτεις ομαδικό πνεύμα και κριτική σκέψη, τότε στείλε μας την αίτησή σου για να αποκτήσεις την εμπειρία της επικοινωνίας με τους καλύτερους εκπροσώπους του Λογιστικού κλάδου και να γίνεις μέλος της ομάδας μας!Απαραίτητα Προσόντα:• Τουλάχιστον 2 έτη προϋπηρεσίας σε λογιστικό γραφείο ή λογιστήριο εταιρίας• Γενικές γνώσεις λογιστικής/ φορολογίας εισοδήματος• Ευχέρεια στο γραπτό και προφορικό λόγο• Πολύ καλή γνώση MS OfficeH εταιρεία προσφέρει:• Πολυβραβευμένο Εργασιακό Περιβάλλον (Fortune’s 100 Best Companies to Work For in Europe 2024, 10 Best Workplaces Hellas, 4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology).• Ανταγωνιστικό πακέτο αποδοχών• Διαρκείς εκπαιδεύσεις και σημαντικές προοπτικές εξέλιξης• Ιδιωτική ιατροφαρμακευτική ασφάλιση• Ψυχολογική γραμμή υποστήριξης• Διαδικτυακά μαθήματα γυμναστικής• Δωρεάν συμμετοχή στα εκπαιδευτικά προγράμματα του Epsilon Training και Epsilοn College• Υβριδικό μοντέλο εργασίας

Σύμβουλος Υποστήριξης Εφαρμογών Λογιστικού Γραφείου Aθήνα 

We seek a DevOps Engineer who will support a portfolio of AI platforms and services. You will work alongside senior engineers to implement DevOps best practices, maintain CI/CD pipelines, and help ensure the security, reliability, and scalability of our AI infrastructure. This is an excellent opportunity to grow your career in DevOps while working with cutting-edge AI technologies.&nbsp;&nbsp;ROLE RESPONSIBILITIES&nbsp;&nbsp;The DevOps engineer colleague’s responsibilities include but are not limited to:&nbsp;Infrastructure &amp; Cloud Operations:&nbsp;<ul><li>Support AWS cloud infrastructure using Infrastructure as Code (CloudFormation)&nbsp;</li><li>Work with AWS services including ECS Fargate, Lambda, Step Functions, S3, DynamoDB, and ECR&nbsp;</li><li>Assist in managing multi-environment deployments (dev, test, prod, sandbox)&nbsp;</li><li>Help maintain and monitor cloud resources for performance and cost optimization&nbsp;</li><li>Participate in infrastructure lifecycle activities including patches and upgrades&nbsp;</li></ul>CI/CD &amp; Automation:&nbsp;<ul><li>Maintain and enhance CI/CD pipelines using GitHub Actions&nbsp;</li><li>Support deployment processes for microservices across multiple environments&nbsp;</li><li>Develop automation scripts (Python/Bash) for operational tasks&nbsp;</li><li>Manage Docker container builds and deployments&nbsp;</li><li>Contribute to GitOps practices and infrastructure as code initiatives&nbsp;</li></ul>Security &amp; Compliance:&nbsp;<ul><li>Implement security scanning in CI/CD pipelines (SonarQube, Snyk)&nbsp;</li><li>Help manage secrets and credentials using AWS Secrets Manager&nbsp;</li><li>Support compliance with enterprise security policies and tagging standards&nbsp;</li><li>Respond to security vulnerabilities and incidents under guidance&nbsp;</li><li>Participate in security reviews of infrastructure&nbsp;</li></ul>Monitoring &amp; Operations:&nbsp;<ul><li>Set up and maintain monitoring and alerting using Grafana, Dynatrace, and CloudWatch&nbsp;</li><li>Participate in incident response and troubleshooting&nbsp;</li><li>Document operational procedures and runbooks&nbsp;</li><li>Support on-call rotation for production systems&nbsp;</li><li>Help drive continuous improvement initiatives&nbsp;</li></ul>Collaboration:&nbsp;<ul><li>Work with development teams to understand deployment requirements&nbsp;</li><li>Document infrastructure changes and technical procedures&nbsp;</li><li>Participate in technical design discussions&nbsp;</li><li>Share knowledge and learn from senior team members&nbsp;</li></ul>&nbsp;BASIC QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor's degree in Computer Science, Engineering, or related field required&nbsp;</li><li>3-5 years of experience working with cloud platforms, preferably AWS&nbsp;</li><li>Experience with CI/CD pipelines and deployment automation&nbsp;</li><li>Hands-on experience with Docker and containerization&nbsp;</li><li>Familiarity with AWS services such as:&nbsp;</li><li>Compute: ECS, Lambda, or EC2&nbsp;</li><li>Storage: S3, DynamoDB&nbsp;</li><li>Container: ECR&nbsp;</li><li>Security: IAM, Secrets Manager&nbsp;</li><li>Experience with Infrastructure as Code (CloudFormation or Terraform)&nbsp;</li><li>Working knowledge of Git version control&nbsp;</li><li>Scripting &amp; Programming: Python or Bash scripting experience&nbsp;</li><li>CI/CD Tools: GitHub Actions, Jenkins, or similar&nbsp;</li><li>Monitoring Tools: Experience with CloudWatch, Grafana, Dynatrace, or similar&nbsp;</li><li>Security: Familiarity with security scanning tools&nbsp;</li><li>Operating Systems: Linux/Unix administration skills</li><li>Strong problem-solving and troubleshooting abilities&nbsp;</li><li>Good communication and collaboration skills&nbsp;</li><li>Eagerness to learn new technologies and best practices&nbsp;</li><li>Ability to work both independently and as part of a team&nbsp;</li><li>Attention to detail and commitment to quality&nbsp;</li><li>Self-motivated with good time management&nbsp;</li></ul>

Manager, DevOps Engineer

We are seeking a Senior Manager, DevOps Engineer who will be responsible for supporting a portfolio of AI/ML platforms and services. You will play a critical role in defining and implementing DevOps best practices, building robust CI/CD pipelines, and ensuring the security, reliability, and scalability of our AI infrastructure. Your expertise will help us accelerate the delivery of AI-powered solutions while maintaining the highest standards of operational excellence.&nbsp;&nbsp;ROLE RESPONSIBILITIES&nbsp;&nbsp;The Senior DevOps Engineer's responsibilities include but are not limited to:&nbsp;Infrastructure &amp; Cloud Operations:<ul><li>Design, deploy, and manage AWS cloud infrastructure for AI/ML applications using Infrastructure as Code&nbsp;</li><li>Architect and maintain highly available, fault-tolerant systems using AWS services (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, ECR, etc.)&nbsp;</li><li>Implement auto-scaling strategies and optimize resource utilization for cost efficiency&nbsp;</li><li>Lead lifecycle management activities including upgrades, patches, capacity planning, and infrastructure retirement&nbsp;</li><li>Manage multi-environment deployments (dev, prod) with appropriate isolation and controls&nbsp;</li></ul>CI/CD &amp; Automation:&nbsp;<ul><li>Build and maintain sophisticated CI/CD pipelines using GitHub Actions for containerized microservices&nbsp;</li><li>Automate deployment processes for 50+ microservices across multiple environments&nbsp;</li><li>Implement GitOps practices and promote infrastructure/configuration as code&nbsp;</li><li>Develop automation scripts for operational tasks and deployment workflows&nbsp;</li><li>Manage Docker container builds and ECR repository lifecycle&nbsp;</li></ul>&nbsp;Security &amp; Compliance:&nbsp;<ul><li>Integrate security practices throughout the CI/CD pipeline (shift-left security)&nbsp;</li><li>Implement automated security scanning&nbsp;</li><li>Manage secrets and credentials using AWS Secrets Manager and secure CI/CD practices&nbsp;</li><li>Ensure compliance with enterprise security policies, tagging standards, and industry regulations&nbsp;</li><li>Monitor and respond to security incidents and vulnerabilities in a timely manner&nbsp;</li><li>Conduct security reviews of infrastructure and application architectures&nbsp;</li></ul>Monitoring &amp; Reliability:&nbsp;<ul><li>Implement comprehensive monitoring, logging, and alerting using Grafana, Dynatrace, and CloudWatch&nbsp;</li><li>Establish SLIs, SLOs for critical services&nbsp;</li><li>Participate in incident response, troubleshooting, and post-mortem analysis to identify root causes&nbsp;</li><li>Drive continuous improvement through metrics-driven insights and capacity planning&nbsp;</li><li>Optimize system performance through profiling, benchmarking, and tuning&nbsp;</li></ul>Collaboration &amp; Leadership:&nbsp;<ul><li>Work closely with AI/ML development teams to understand requirements and optimize deployment strategies&nbsp;</li><li>Provide technical guidance and mentorship on DevOps/MLOps best practices&nbsp;</li><li>Document infrastructure, runbooks, standard operating procedures, and architectural decisions&nbsp;</li><li>Contribute to technical design reviews and architectural decision-making&nbsp;</li><li>Foster a culture of automation, reliability, and continuous improvement&nbsp;</li></ul>&nbsp;BASIC QUALIFICATIONS ​&nbsp;<ul><li>BSc degree in Computer Science or Engineering is required. MSc is preferred.&nbsp;</li><li>7+ years of hands-on experience deploying and managing enterprise software solutions in AWS or other cloud environments&nbsp;</li><li>Proven experience building and maintaining production-grade CI/CD pipelines (GitHub Actions, Jenkins, or similar)&nbsp;</li><li>Extensive AWS expertise with services including:&nbsp;</li><li>Compute: ECS Fargate, Lambda, EC2, EKS&nbsp;</li><li>Storage: S3, DynamoDB&nbsp;</li><li>Container: ECR&nbsp;</li><li>Security: IAM, Secrets Manager, KMS&nbsp;</li><li>Deep expertise with Infrastructure as Code using CloudFormation and/or Terraform&nbsp;</li><li>Production experience with Docker containerization and orchestration&nbsp;</li><li>Strong proficiency with Git version control and branching strategies&nbsp;</li><li>Scripting &amp; Programming: Python (required), Bash, strong understanding of software development lifecycle&nbsp;</li><li>Monitoring &amp; Observability: Hands-on experience with Grafana, Dynatrace, CloudWatch, or similar tools&nbsp;</li><li>Security Tools: Experience with SonarQube, Snyk, or similar security scanning tools&nbsp;</li><li>Configuration Management: Experience with automated configuration management approaches&nbsp;</li><li>Performance Optimization: Proven ability in performance testing, profiling, and optimization&nbsp;</li><li>Demonstrated ability to own complex systems end-to-end and manage production deployments&nbsp;</li><li>Strong analytical and troubleshooting skills with systematic problem-solving approach&nbsp;</li></ul>&nbsp;GENERAL SKILLS REQUIREMENTS&nbsp;<ul><li> Excellent communication skills - able to explain technical concepts to diverse audiences&nbsp;</li><li>Experience contributing to technical specifications and design documentation&nbsp;</li><li>Collaborative mindset with ability to work effectively across distributed teams&nbsp;</li><li>Self-motivated with strong bias for action and results&nbsp;</li><li>Commitment to quality, security, and operational excellence&nbsp;</li></ul>

Senior Manager, DevOps Engineer

Reporting to the Sr Manager Data Management Lead of Enterprise Data and Solution Engineering, the&nbsp;UDH Data Quality Lead&nbsp;will&nbsp;build first in class data quality and management practice. Build capabilities that enact trust in data and products, that are critical for building advanced analytic solutions, self-service models and semantic data layer.<ul><li>Directs cross-functional team for Data Quality services in emerging tools.</li><li>Directs the portfolio of technology and implementation plans to modernize the service on cloud, leverage automation, reuse, and continuous improvement to expand into new domains.</li><li>Provides oversight and direction to a cross functional team to the onboarding of new data set and PGS systems on the roadmap.</li><li>Designs and implements quality assurance programs across data repositories.</li><li>Create and manage semantic layer to ensure data quality assessment data is available to Adv. Analytics and in advance visualizations for downstream.</li><li>Lead data standardization efforts where possible setup SLA’s and responsible for key metrics that measure data quality.</li><li>Maintain relationships with all data users, actively driving engagement, adoption and usage – and providing processes, training and support to ensure data quality standards are maintained.</li><li>Oversee data procedures for any errors or defects.</li><li>Enforces all the measures to ensure an asset-oriented view, control and quality assurance of data in a company.</li><li>Analyze data patterns and utilization with a constant eye toward continuous improvement.</li><li>Lead data standardization efforts where possible.</li><li>Establish a strong collaborative culture with peers and other functions across Pfizer Digital.</li><li>Promote a culture of success, pride, performance, discipline, innovation and creativity.</li><li>Build automation and AI driven process to continuously innovate and improve quality.</li><li>Liaison with senior leaders and stakeholders within Pfizer to data and quality standards to meet or exceed business requirements.</li><li>Creates business quality standards.</li><li>Accountable for the development and ongoing leadership of data stewardship protocols to meet requirement of strategic initiatives.</li><li>Analytical and critical thinking. Does not shy away from tough decisions and can articulate complex situations so that decisions can be made.</li><li>Consultative skills. Is able to define and structure vaguely defined problems, and influence stakeholders via effective communication.</li></ul>Basic Qualifications<ul><li>Must have a bachelor’s degree with at five years of relevant experience. </li><li>OR master’s degree with three years of relevant experience. &nbsp;</li><li>OR associate degree with eight years of relevant experience. </li><li>OR Ph.D. with 0+ years of experience. </li><li>Preference for advanced degree holders with a focus in strategy Analytics, Data science, Computer Science, Engineering or equivalent project-related experience</li><li>5+ years of strong multi-discipline experience, with experience in data quality concepts and technologies</li><li>Proficiency in Python, SQL, and familiarity with Java or Scala.</li><li>Strong expertise in developing data pipelines, data APIs and DQ rules</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Knowledge and understanding of data quality tools.</li><li>Demonstrated ability to interact with all levels of the organization in a professional manner.</li><li>Proven skills in working across diverse, cross-functional teams in solving data problems.</li><li>Strong collaboration and communication skills within and across teams.</li><li>Knowledge of analytic tools and platforms, e.g. Tableau, snowflake, Spark, SQL</li><li>Knowledge of Big Data, data science and statistical analysis skills, e.g. R, Python, machine learning, SAS</li><li>Knowledge of relational databases, information architecture, data warehousing and ETL</li><li>Proactively monitors the execution of the digital data governance processes including data quality and publishes the results.</li></ul>Nice-to-Have<ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Experience with Agile Software Delivery and/or Scrum Master Certification</li><li>Knowledge of the pharmaceutical industry, preferably Commercial or sales and marketing</li></ul>&nbsp;

Manager Data Quality Lead

In this role, you will act as the technical engineering lead for data solutions that function as standalone products or reusable platform templates for teams across the enterprise. You will need to balance leading cross-functional teams with hands-on development on the platform and managing stakeholder expectations. You will also be accountable for a team of around 5 colleagues.You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of enterprise analytics platform strategy.ROLE RESPONSIBILITIES&nbsp;<ul><li>Design, construct, install, test, and maintain robust and scalable Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines to pull data from diverse internal and third-party sources.</li><li>Build and manage enterprise data warehouses and data lakes, ensuring optimal performance and data integrity.</li><li>Implement data platforms utilizing cloud services optimizing data delivery architecture to be highly available and fault-tolerant.</li><li>Develop processes for data monitoring and implement data quality checks to ensure the accuracy, completeness, and reliability of core datasets.</li><li>Optimize existing data systems for improved performance and efficiency, implementing automation where possible.</li><li>Partner with data analysts, data scientists, and software engineers to understand and address data needs, ensuring the infrastructure supports analytical goals.</li><li>Create and maintain documentation for all data pipelines, processes, and infrastructure, adhering to best practices in data engineering.</li><li>Drive strategic reuse and user enablement by:</li><li>Developing and maintaining reusable assets for consistency and scalability.</li><li>Defining standards and best practices in partnership with platform owners.</li><li>Assessing and adopting emerging enterprise platform capabilities.</li><li>Delivering end-to-end data solutions to integrate advanced features into business workflows.</li><li>Creating platform specific proof-of-concepts that demonstrate feasibility and readiness for enterprise utilization.&nbsp;</li><li>Ensuring cross-functional alignment for cohesive data and AI adoption across the organization.</li></ul>&nbsp;BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor's degree in Computer Science, Statistics, or related field.</li><li>At least 10 years of professional experience.</li><li>At least 5 years engineering or technical role experience, ideally involving a complex and rapidly evolving software/product.</li><li>Proven track record of executive level presentations and ability to effectively communicate to multiple audiences and partners.</li><li>Strong leadership skills with experience mentoring and managing development teams.</li><li>Grit when faced with technical issues&nbsp;- you don't rest until you understand what is happening and why things are not working.</li><li>Excellent problem solving and analytical skills with an aptitude for learning new technologies.</li><li>Excellent verbal and written communication skills.</li><li>and the ability to interface with both technical and non-technical individuals as needed.</li><li>Comfort working with and reading code.</li><li>Proven experience as a Data Engineer or similar role with a strongtrack record of delivering production-level data solutions.</li><li>Expertise in Python and proficiency in SQL. Experience with Java or Scala is a plus.</li><li>Strong experience with data warehouse and lake solutions (Snowflake, Redshift, BigQuery, Databricks) and orchestration tools (Apache Airflow, Prefect).</li><li>Big Data Frameworks:&nbsp;Familiarity with big data processing frameworks like Apache Spark or Kafka.</li><li>Solid understanding of data modeling principles, database design, and data governance concepts.</li><li>Hands-on experience and proficiency with DevOps and information tools – e.g., JIRA, Confluence, SharePoint, Yammer, etc.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience with cloud platforms such as AWS, Azure, and GCP.</li><li>Experience with data visualization, data science, machine learning, and/or AI</li><li>Experience with web development&nbsp;</li><li>Agile / SAFE Certification</li></ul>

Director - TL, Data Engineering

As a Sr. Associate,&nbsp;Software&nbsp;Engineer,&nbsp;you will work with senior members of the team to design, implement, and&nbsp;maintain&nbsp;automated systems for infrastructure provisioning, configuration management, and deployment. You will be working&nbsp;to design and build REST APIS, build and support&nbsp;open-source&nbsp;platforms,&nbsp;and&nbsp;maintain&nbsp;build and deploy pipelines that ensure our services&nbsp;remain&nbsp;available and scalable.&nbsp;Ideal candidate has an experience working as a&nbsp;software&nbsp;engineer in a global team structure.&nbsp; This role requires strong collaboration skills, the ability to work independently with a focus on high quality and&nbsp;a strong sense&nbsp;of accountability. The role also requires&nbsp;a strong desire&nbsp;for continuous learning to stay current with the rapidly evolving global technology landscape and significant attention to detail and quality.&nbsp; ROLE RESPONSIBILITIES&nbsp;<ul><li>Design and build REST APIs services in Java to automate manual processes across the organization.&nbsp;</li><li>Collaborate with cross-functional teams to gather&nbsp;technical&nbsp;requirements.&nbsp;</li><li>Work with engineering lead and business owner to&nbsp;optimize&nbsp;and improve&nbsp;how the team delivers automations in the most efficient way possible.&nbsp;</li><li>Work with security team to ensure&nbsp;compliance with security and regulatory requirements in all infrastructure and tooling configurations.&nbsp;</li><li>Collaborate with development teams to&nbsp;identify&nbsp;and implement best practices for continuous integration and deployment.&nbsp;</li><li>Create and&nbsp;maintain&nbsp;documentation related to&nbsp;services,&nbsp;infrastructure, tooling, and configuration processes.&nbsp;</li><li>Stay up to date with the latest industry trends and best practices related to configuration management&nbsp;tools&nbsp;and infrastructure automation.&nbsp;</li></ul>BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).&nbsp;</li><li>A minimum of 2&nbsp;years of experience working&nbsp;as a&nbsp;software engineering.&nbsp;</li><li>Proven experience working with Java.&nbsp;</li><li>Experience with version control systems (e.g., Git) and CI/CD pipelines.&nbsp;</li><li>Strong problem-solving skills, with the ability to troubleshoot and resolve issues efficiently.&nbsp;</li><li>Excellent communication and collaboration skills,&nbsp;work well as part of a team.&nbsp;</li></ul>PREFERRED QUALIFICATIONS&nbsp;<ul><li>Experience with SpringBoot and/or Quarkus.</li><li>Basic understanding of cloud platforms (e.g., AWS, Azure).&nbsp;</li><li>Experience&nbsp;with containerization technologies (e.g., Docker, Kubernetes) and their integration with infrastructure automation tools.&nbsp;</li><li>Experience&nbsp;with tools such as Terraform and Ansible, is a huge plus.&nbsp;</li><li>Certification in relevant technologies (e.g., AWS&nbsp;Cloud Practitioner, Terraform Certified Associate).&nbsp;&nbsp;</li></ul>

Sr. Associate, Software Engineer

JOB SUMMARY<ul><li>This internship role is a hands-on statistical data scientist supporting study and asset teams with statistical data sciences and analytics deliverables.</li><li>Ensures excellence in the delivery of analysis ready datasets, analysis results and displays and qc work for which they are responsible.</li><li>Ensures adherence to high quality statistical data sciences principles, processes and techniques in their daily work.</li></ul>JOB RESPONSIBILITIES<ul><li>Will be learning in the space of statistical data sciences and data standards.</li><li>Accountable for their assigned work supporting the statistical data sciences leads for a particular study or asset deliverable.</li><li>Ensures appropriate documentation and QC documentation for their deliverables.</li><li>May provide supportive QC work for other statistical data scientists deliverables.</li><li>Works with statistical data sciences leads to ensure clear specifications for their deliverables are in place.</li></ul>QUALIFICATIONS / SKILLS<ul><li>Bachelor or Master (preferred) Degree in Statistics, Data Sciences, Biological Sciences, IT, or related field.</li><li>Some experience in SAS, R, or Python programming and knowledge of clinical trials would be considered as an asset.</li><li>Strong written and oral communication skills, and time management skills.</li><li>Proven ability to manage timelines.</li><li>Fluent in English.</li></ul>

Assistant, Statistical Data Scientist (Intern - 6 months fixed term)

Resource Demand Manager provides operational resource support to functional line(s) within the R&amp;D division ensuring resource requirements in support of the Research, Development and Commercial portfolios are properly planned and understood to facilitate informed decision-making and allocation of resources based on business priorities. Contributes to the achievement of business strategies and goals by partnering with applicable business SMEs across key stakeholder groups to enable and enhance operational performance through effective forecasting, planning management of organizational resources, the development of tools and processes to effectively assess resources, both internal and external through Functional Service Providers.ROLE RESPONSIBILITIES<ul><li>Supports functional lines with mix of fixed and variable headcount, 1000 resources across several resource work types and high algorithm complexity.</li><li>Ensures potential resource capacity issues (shortfalls) are surfaced and discussed in a timely fashion.</li><li>Derive demand forecasts utilizing the Planisware enterprise portfolio project management system; create variance and trend analyses.</li><li>Manages resource and cost assessments related to internal Pfizer portfolio optimization opportunities (e.g., project accelerations, PSI buy-ups, etc.) for supported Functional Lines</li><li>Partners with senior leaders and Resourcing Business Partners to ensure organizational resources are optimized and appropriately aligned to business priorities across the business functional areas.</li><li>Innovate new strategies and tools such as dashboards, metrics and KPI’s.</li><li>Utilizes business-specific portfolio and project information to facilitate portfolio and resource planning reviews and deliver the Annual Operating Plan.</li><li>Produce business performance dashboards and key metrics utilizing advanced visualizations and appropriate communications that effectively illustrate data trends</li><li>Supports multiple aspects of resource and clinical development cost management including data transformation, analysis, and reporting</li><li>Supports the development, maintenance and analysis of clinical trial cost and resource metrics to increase accuracy in assumptions in planning.</li><li>Support the delivery of holistic view of resource capacity and allocation across business functional areas.</li><li>Reinforces the value of the FTE Tracking (Activity Tracker), CRIS (Capacity Resource Information System) and Resource Planning &amp; Forecasting (RAPID) programs for the business.</li><li>Proactively surfaces potential resource and cost related issues to key stakeholders and recommends go forward actions / sourcing solutions.</li><li>Supports the partnership with Finance to coordinate the development of the annual operating budget build.</li><li>Partners with subject matter experts in business lines on the design, development, and maintenance of resource estimating assumptions (algorithms), drivers, and templates for use in generating algorithmically derived demand forecasts utilizing the PLW enterprise portfolio project management system.</li><li>Innovate new strategies and tools such as dashboards, metrics and KPI’s</li><li>Supports high-impact cross functional special projects that improve our business in the short and long term.</li><li>For certain functional areas support the assessment of quarterly Functional Service Provider (FSP) Resource Demand Plan keying on relevant business drivers to justify resource projections, summarize changes, performs and delivers analyses summarizing forecast changes and communicates to finance and budgetary stakeholders.</li></ul>QUALIFICATIONS / SKILLS<ul><li>Bachelor’s degree required, scientific or technical focus preferred, and minimum 4+ years of relevant experience (R&amp;D operational strategy and finance a plus) or Master's degree with 3+ years related experience with ability to translate complex business questions and requirements and develop effective solutions</li><li>Business experience and understanding of processes associated with operational aspects of clinical development</li><li>Expert in Excel, SQL, XML, dashboard tools (PowerBI, Spotfire, Tableau). Strong working knowledge Planisware, Business Objects and SaaS systems. Planisware certification is a plus.</li><li>Expertise in resource algorithm design and development</li><li>Ability to translate complex business questions and requirements and develop effective solutions</li><li>Ability to synthesize detailed information from multiple, disparate sources, understand the underlying data and be able to interpret and articulate key takeaways to executive leadership</li><li>Versed in data analytics, predictive modelling, AI capabilities, and able to build dashboards and reporting tools</li><li>Strong analytical skills, critical thinker, collaborator and effective communicator</li><li>Drive for results; planning; managing and measuring work</li><li>Comfortable multi-tasking; prioritizing and balancing heavy workloads</li></ul>Out of scope:<ul><li>Category management</li><li>Vendor quality and compliance</li><li>Vendor management (sourcing, RFIs/RFPs)</li></ul>

Manager, Resource Demand

The&nbsp;Director, Product Engineering&nbsp;will lead a global team of highly skilled software engineers responsible for designing, developing and sustaining enterprise-grade digital manufacturing applications and solutions. This leader will ensure engineering excellence across multiple complex and competing priorities balancing rapid delivery with stability, scalability and maintainability.&nbsp;This role requires a seasoned technical leader who can drive architectural vision, establish best practices and standards, mentor emerging engineering talent, and guide the adoption of modern technologies including AI and emerging Agentic AI paradigms. The ideal candidate combines deep software engineering expertise with strong leadership, prioritization, and a passion for enabling innovation within a complex, global organization.ROLE RESPONSIBILITIES&nbsp;The&nbsp;Director, Product Engineering&nbsp;&nbsp;colleague’s responsibilities include but are not limited to:<ul><li>Product Delivery &amp; Execution Excellence<ul><li>Oversee multiple concurrent development initatives supporting the Digital Manufacturing portfolio</li><li>Drive end-to-end solution delivery, architecture, design, development testing, deployment and sustainment</li><li>Manage competing priorities and resource allocations across projects, balancing delivery speed with quality and compliance</li><li>Partner with product managers, solution architects, and business stakeholders to align engineering coutcomes with product roadmaps</li></ul></li></ul><ul><li>Technical Architecture &amp; Best Practices<ul><li>Define and uphold modern engineering standards such as CI/CD pipelines, code reviews, automated testing, observability and secure-by-design principles</li><li>Ensure system architectures are scalable, reliable, and maintanable across global deployments</li><li>Manage technical debt and implement continuous improvement initiatives to enhance performance and efficiency</li><li>Drive alignment with enterprise architecture, data, and cybersecurity standards</li></ul></li><li>AI Enablement &amp; Technology Integration<ul><li>Partner with AI COE, Manufacturing Intelligence, Data Engineering and Platform Engineering teams to enable AI-powered features and intelligent automation</li><li>Maintain a high-level understanding of the tools, frameworks, and infrastructure supporting AI and agentic systems (e.g. LLMs, RAG pipelines, vector databases, orchestration frameworks like LangChain or Semantic Kernel)</li><li>Advocate for AI readiness within existing applications and influence the technical direction of future applications</li></ul></li><li>Engineering Leadership &amp; Team Development<ul><li>Lead and inspire a global team of software enterprise-grade digital manufacturing applications</li><li>Serve as a hands-on technical mentor guiding junior engineers, facilitating skill growth and fostering a culture of excellence</li><li>Build an inclusive, collaborative, and high-performance engineering culture centered on ownership, continuous improvement, learning and accountability</li><li>Establish clear career paths and succession planning within the team</li></ul></li><li>Governance, Compliance &amp; Performance Management<ul><li>Ensure all solutions adhere to Pfizer’s digital standards, including cybersecurity, GxP, and data integrity requirements</li><li>Establish and track engineering KPIs – delivery, velocity, system uptime, incident response times, and technical debt reduction</li><li>Drive transparency through dashboards and regular operational reviews</li></ul></li></ul>BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor’s degree in computer science, software engineering, or relevant experience</li><li>Minimum 8+ years of experience in software engineering, including full-stack or backend development in enterprise environments</li><li>Demonstrated experience leading high-performing engineering teams delivering complex, mission-critical applications</li><li>Strong technical depth in modern software architectures, APIs, microservices, and cloud-native design patterns</li><li>Proven success managing competing priorities, allocating resources effectively, and communicating tradeoffs with senior stakeholders</li><li>Experience mentoring engineers and establishing professional growth and development paths within engineering teams</li><li>Working knowledge of AI technologies and architectures including experience with LLMs, RAG vector databases, orchestration frameworks (e.g. LangChain, Semantic Kernel), or intelligent agent systems</li><li>Strong communication skills with the ability to bridge technical and business audiences</li><li>Demonstrated success operating in global, matrixed organizations</li></ul>PREFERRED QUALIFICATIONS<ul><li>Master’s degree in computer science, Engineering Management or related field</li><li>Experience with regulated or GxP environments such as pharma and medical devices</li><li>Experience in a manufacturing environment</li><li>Familiarity with MLOps and AI infrastructure (e.g. Azure AI Foundry, OpenAI API, Amazon Bedrock and Sagemaker AI, Databricks or similar ecosystems)</li><li>Strong background in agile development, preferabily SaFE, and DevOps culture</li></ul>

Director, Product Engineering

The Senior Brand Specialist will be responsible for developing and executing brand and trade marketing strategies to enhance Knauf’s market presence and drive customer engagement across Greece and Cyprus. The position requires strong analytical skills, creativity, and close collaboration with cross-functional teams to deliver measurable results. What you’ll be doing:<ul><li></li></ul><ul><li>Collect and analyze customer and market insights specific to the construction and building materials industry, identifying trends, customer needs, and competitive dynamics.</li><li>Lead as a brand owner by designing and implementing integrated marketing strategies across traditional and digital channels, ensuring brand consistency to all touchpoints.</li><li>Design and execute a data-driven digital media strategy, leveraging platforms such as social media, search engines, and construction-focused digital channels to maximize online reach, engagement, and lead generation.</li><li>Foster cross-functional collaboration with sales, logistics, and other internal teams to ensure the smooth implementation of marketing plans and alignment with overall business goals.</li><li>Oversee the management of a substantial marketing budget, focusing on maximizing ROI through strategic prioritization of high-value initiatives and contributing to precise sales forecasting for Knauf's product lines.</li><li>Collaborate with external agencies to craft integrated and comprehensive marketing strategies, ensuring campaigns are tailored to the unique requirements of the construction market and delivered within set timelines.</li><li>Analyze product performance, gather market feedback, and assess customer satisfaction to generate actionable insights and present strategic recommendations that enhance Knauf's market presence and drive growth.</li></ul>What skills we expect you to have:<ul><li>Bachelor’s degree in Communications, Marketing, or a related field. A Master’s degree is a plus.</li><li>6+ years of experience in brand management,&nbsp;within an international or large-scale organization</li><li>Experience in brand communications&nbsp;either in-house or within a creative/advertising agency</li><li>Advanced familiarity with key marketing platforms and tools, such as Google Analytics, Hubspot, etc.</li><li>Proven track record of delivering successful brand campaigns — including employer brand and CSR efforts.</li><li>Strong storytelling, writing, and editing skills.</li><li>Ability to manage high-impact, cross-functional projects in fast-paced environments.</li><li>Excellent communication and stakeholder management skills.</li><li>Fluent in English language, both written and oral skills</li></ul>We’ll provide:&nbsp;• Competitive salary• Private health insurance• Opportunity to grow in a multinational environment

Senior Brand Specialist

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