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What you will do:<ul><li>Execute assessments, migrations, and implementations of Hybrid-Cloud solutions, migrating environments to Microsoft Azure</li><li>Manage and optimize existing Microsoft Azure environments</li><li>Develop Azure DevOps CI/CD practices</li><li>Follow consistent processes for incident and problem resolution</li><li>Enhance internal efficiency and customer satisfaction by optimizing processes and tools</li><li>Prepare technical documentation on Microsoft Azure and related procedures</li><li>Own customer issues and see them through to resolution</li><li>Research, diagnose, and troubleshoot customer issues</li><li>Provide prompt and accurate feedback to customers</li><li>Ensure proper recording and closure of all issues</li><li>Prepare accurate and timely reports</li><li>Follow SLAs based on issue severity</li><li>At our client’s, they work as a team- get ready to work very closely with your colleagues and Technical Lead for solving complex problems</li><li>Work in close collaboration with other ICC technical teams including (but not limited to) Information Security, Architecture, Technical Advisors etc.</li><li>Participate in a 24×7 on-call rotation</li></ul>What you will bring:<ul><li>3+ years of experience in IT, particularly with Microsoft Azure technologies</li><li>Degree in Computer Science or a related field</li><li>Excellent communication skills in Greek and English, both written and verbal</li><li>Proficiency with Microsoft Technologies (Active Directory, Exchange, Windows Clients, Terminal Services, Hyper-V)</li><li>Basic knowledge of networking core concepts</li><li>Experience in analyzing, troubleshooting, and providing solutions for technical issues</li><li>Experience with migration projects (on-premises to cloud)</li><li>Ability to work collaboratively in a team environment</li><li>Eager to learn and support new technologies, and to train others</li></ul>Additional Skills to be considered as advantages:<ul><li>Microsoft Azure certifications (Azure Administrator – AZ 104 , Azure Fundamentals – AZ 900, Azure Virtual Desktop – AZ 140)</li><li>Networking Certifications (CCNA, NSE4, Checkpoint IaaS Cloud Guard Specialist)</li><li>Basic Knowledge of Azure Dev Ops concepts and Infra as code deployment</li><li>Basic Knowledge of core security concepts on Microsoft Azure</li></ul>What you will get:<ul><li>Laptop, Screens, Phone &amp; software tools</li><li>Birthday gift to celebrate to the fullest the best day of your year</li><li>Learning &amp; Development attitude: Trainings &amp; practice tests on Cloud Technologies (and not only!)</li><li>Free Vouchers to certify your new acquired knowledge</li><li>Flexible Working Policy</li><li>Referral Bonus- think about your network, they are hiring!</li><li>Mobile Phone with unlimited data and voice plan</li><li>Private Health Insurance</li><li>Career Development Plan</li><li>Social Events- at our client’s they grab every chance to celebrate every little occasion</li></ul>Don’t worry if you don’t tick all the boxes – they support learning and development in the role.

Azure Cloud Engineer

We are seeking an experienced&nbsp;Application Specialist&nbsp;to join a dynamic team delivering enterprise-grade integration services. The ideal candidates will have strong technical skills in middleware and API development, coupled with experience in cloud-native technologies, especially within the Microsoft Azure ecosystem.Key Responsibilities:<ul><li>Design and develop robust and scalable APIs and integration solutions.</li><li>Collaborate with business and technical teams to align integration solutions with enterprise architecture.</li><li>Manage end-to-end lifecycle of integration services including governance, documentation, and versioning.</li><li>Support and enhance integration between ERP, CRM, and other third-party SaaS, IaaS, and PaaS applications.</li><li>Maintain high-quality standards through CI/CD practices and DevOps methodologies.</li></ul>Requirements:<ul><li>University degree (AEI or TEI) in Computer Science, Information Systems, or a related field. A postgraduate degree is considered a plus.</li><li>3+ years of hands-on experience in middleware, API design/development, and enterprise application integration.</li><li>Expertise in Azure Logic Apps, Azure API Management (APIM), and Azure Functions.</li><li>Strong knowledge of RESTful API design, JSON, XML, and message queuing technologies (e.g., Azure Service Bus, RabbitMQ, Kafka).</li><li>Experience with middleware platforms such as BizTalk, Apache Camel, or similar.</li><li>Familiarity with security and compliance frameworks related to API governance.</li><li>Understanding of CI/CD pipelines and containerization concepts.</li><li>Azure certifications (e.g., Azure Solutions Architect, Azure Developer Associate, Azure Integration Services) are a strong plus.</li><li>Excellent analytical and problem-solving skills, with the ability to bridge technical and business perspectives.</li><li>Strong verbal and written communication skills, including experience presenting complex concepts to non-technical stakeholders.</li><li>Ability to collaborate across teams, manage priorities, and deliver results within project timelines.</li></ul>WHAT´S IN IT FOR YOU?Let’s talk about us:<ul><li>Hybrid working model</li><li>A competitive salary</li><li>Signing Bonus</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies’ development</li><li>Continuous learning &amp; development experience based on infinity model through Code.Hub’s Code.Learn</li><li>L&amp;D plan for your career improvement</li><li>A truly open, inclusive, and competitive-free environment to grow your skills and have fun!</li><li>Internal competitions &amp; rewards.</li></ul>Let’s talk about Code.Hub-ers:<ul><li>You are eligible to free LinkedIn trainings</li><li>You are eligible to have free pass to all training Code.Learn activities after 6 months from your induction</li><li>Training &amp; Tech Mentor for your induction.</li><li>Unlimited access to LinkedIn Learning platform (1st semester).</li><li>Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College.</li><li>Private Health Insurance.</li><li>Performance planning each six months and each two years planning of promotion.</li><li>Free Lunch/Snack every day &amp; Cocktail Fridays @ our offices.</li><li>Referral Bonus.</li></ul>

Application Specialist 

We are currently looking for an&nbsp;Android Engineer&nbsp;to join the team.WHO WE’RE LOOKING FOR?<ul><li>Very good educational background in IT or in a numerate discipline (such as Engineering, Statistics, etc.)</li><li>4 years’ experience to different mobile application development approaches, native (Android), hybrid/cross platform, and/or mobile web apps (HTML5)</li><li>Experience in Java or Kotlin</li><li>Familiarity with JSON, XML, Web Services, REST APIs, SQLite, RxJava, Dagger2, Butterknife.</li><li>Previous working experience in the IT field is preferred but not required</li><li>Eagerness to contribute in a team-oriented environment</li><li>Ability to work creatively and analytically in a problem-solving environment</li></ul>WHAT´S IN IT FOR YOU?Let’s talk about us:<ul><li>Remote working model</li><li>A competitive salary</li><li>Signing Bonus</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies’ development</li><li>Continuous learning &amp; development experience based on infinity model through Code.Hub’s Code.Learn</li><li>L&amp;D plan for your career improvement</li><li>A truly open, inclusive, and competitive-free environment to grow your skills and have fun!</li><li>Internal competitions &amp; rewards.</li></ul>Let’s talk about Code.Hub-ers:<ul><li>You are eligible to free LinkedIn trainings</li><li>You are eligible to have free pass to all training Code.Learn activities after 6 months from your induction</li><li>Training &amp; Tech Mentor for your induction.</li><li>Unlimited access to LinkedIn Learning platform (1st semester).</li><li>Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College.</li><li>Private Health Insurance.</li><li>Performance planning each six months and each two years planning of promotion.</li><li>Free Lunch/Snack every day &amp; Cocktail Fridays @ our offices.</li><li>Referral Bonus.</li></ul>

Android Engineer (Remote)

As a Azure Data Engineer, you will work closely with their clients in a cross-functional team responsible for the delivery of large-scale Cloud DWH/BI solutions to support their operational, tactical and strategic reporting as well as other analytical business needs. You will participate in the end-to-end delivery lifecycle of such projects from business requirements gathering to solution design, development, testing and roll-out.Responsibilities:<ul><li>Participate in workshops with client’s stakeholders to validate business requirements &amp; functional specifications.</li><li>Design &amp; implement BI/DWH applications to cover the Business Intelligence &amp; Reporting requirements of large organizations utilizing Cloud technology platforms</li><li>Leverage data analysis skills to analyze business areas, understand source systems’ data and map them to DWH data model.</li><li>Design, Build, Test and Deploy advanced ETL processes to move and transform enterprise data</li><li>Participate in the definition of best practices, standards and optimization techniques to enhance the DWH/BI solutions.</li><li>Lead development teams throughout the delivery of Cloud BI/DWH solutions (for experienced candidates)</li></ul>QualificationsWHO THEY´RE LOOKING FOR?<ul><li>Bachelor’s degree in Computer Science, Information Systems, or equivalent field</li><li>Knowledge of Data Management and Data Warehousing concepts (ETL, Staging/Target Area, OLAP, Dimensional Modelling, Data Marts etc.)</li><li>Working experience and knowledge over Azure Data platforms (Data Factory, Synapse Analytics, Azure SQL DW, Data Lake, Analysis Services, etc.) and knowledge of Data Visualization tools (e.g. PowerBI, Tableau, Qlik)</li></ul>For entry level candidates:<ul><li>Previous working experience of 1 – 3 years in DWH/BI projects preferably in the Banking or Insurance industry</li><li>Advanced analytical abilities &amp; problem-solving skills</li><li>Ability to meet deadlines with high attention to detail and quality</li></ul>For experienced candidates:<ul><li>Min. 4 years of working experience in DWH/BI projects preferably in the Banking or Insurance industry</li><li>Strong communication and presentation skills</li><li>Experience in leading small-scale teams</li><li>Advanced analytical abilities &amp; problem-solving skills and ability to meet deadlines with high attention to detail and quality</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)</li><li>Under their Brain Regain initiative, extra relocation benefits may apply</li></ul>

Azure Data Engineer Athens

Azure Data Engineer Thessaloniki

The Digital organization powers&nbsp;our client&nbsp;with putting medicines in the hands of patients, while maintaining the highest standards of innovative digital solutions. The Digital PGS Creation Center Team enables Pfizer Global Supply (PGS) to win the digital race in pharma and provides innovative digital solutions that unleashes the power of their people by allowing them to focus their time on value-add activities. Their solutions accelerate key PGS initiatives and help PGS sites realize benefits of continuous improvement more rapidly. Solution Design &amp; Adoption (SD&amp;A) is a multidisciplinary team that enables End to End user experience efforts from the needs assessment through delivery and experience measurement, by using collaborative methods with a user-centered focus to ensure the best digital solutions are in the hands of their PGS and Digital PGS colleagues.Their team consists of two main areas under which their disciplines are divided across. Solution Design focuses on User Research, Design Strategy, Product Design and Design Systems Framework. Solution Adoption focuses on Trainings, Communications and Change Management of their digital PGS solutions. Their team operates as a horizontal shared service to enable the full Digital PGS creation center. (Digital Manufacturing, Digital Quality, Digital Supply, &amp; Digital Site)ROLE RESPONSIBILITIESThe Sr Associate – Product Design &amp; User Experience (UX) Research colleague’s responsibilities include but are not limited to:<ul><li>Contribute to the vision and strategy of uniting all solutions under a common set of design practices, design standards, and visual language</li><li>Translate insights and strategy into tangible design proposals to inspire and advance innovation</li><li>Support design teams to scope initiatives, identify priorities, and deliver projects that have multiple stakeholders and moving parts within an Agile framework</li><li>Create design-led approaches to complex problems involving people, processes, and systems</li><li>Produce deliverables including personas, user flows, wireframes, prototypes, test plans, personas, and user journeys to communicate with stakeholders</li><li>Strong visual design skills · Monitor and track progress throughout development and maintain quality of standards</li><li>Identify and understand business context, demands, and opportunities</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor’s degree is required. An advanced degree is preferred</li><li>3+ years of experience in Product, Service, Interaction Design or related field</li><li>A solid understanding and demonstration of user centric design principles. An advanced proficiency with design and prototyping tools primarily Figma and design systems</li><li>Ability to collaborate actively as part of a multi-disciplinary and global teams</li><li>Enthusiasm, patience, and a solutions-oriented attitude toward any risks and challenges</li><li>Comfort with ambiguity and complex problems</li><li>Organized, able to act independently, and able to switch between different projects in a fast-paced environment</li><li>Familiarity in emergent technologies and how to apply them to different business challenges</li><li>Ability to confidently present work and to accept or provide constructive feedback</li><li>Experience utilizing Lean and Agile methodologies</li></ul>PREFERRED QUALIFICATIONS<ul><li>Agile, or equivalent certification highly desirable</li><li>Pharmaceutical or Manufacturing Industry experience a plus</li></ul>Please apply by sending your CV and a motivational letter in English.

1428 – Senior Associate, Product Design

Our client&nbsp;is seeking a highly skilled and motivated AI Engineer to join their advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in their Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.ROLE RESPONSIBILITIES<ul><li>Responsible for data modeling and engineering within the advanced data platforms teams to achieve digital outcomes. Create test plans, test scripts, and perform data validation.</li><li>Conceive, design, and implement Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.</li><li>Develop complex data products that are beneficial for PGS and Allow for reusability across enterprise.</li><li>Ability to collaborate with contractors to deliver technical enhancements.</li><li>Develop automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.</li><li>Develop internal APIs and data solutions to enhance application functionality and facilitate connectivity.</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.</li><li>Conduct root cause analysis and address production data issues.</li><li>Design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer’s projects.</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.</li><li>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.</li><li>3+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.</li><li>Over 1 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.</li><li>Strong understanding of data structures, algorithms, and software design principles</li><li>Programming Languages: Experience in Python, SQL, and familiarity with Java or Scala.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>Please apply by sending your CV and a motivational letter in English.

1411 – Senior Associate, Data Engineer – AI and Automation

Our client&nbsp;is seeking a highly skilled and motivated AI Engineer to join their advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in their Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.ROLE RESPONSIBILITIES<ul><li>Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes.</li><li>Provides guidance and may lead/co-lead moderately complex projects.</li><li>Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes.</li><li>Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.</li><li>Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise.</li><li>Collaborate effectively with contractors to deliver technical enhancements.</li><li>Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.</li><li>Conduct root cause analysis and address production data issues.</li><li>Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer’s projects.</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.</li><li>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.</li></ul>BASIC QUALIFICATIONS<ul><li>A bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.</li><li>5+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.</li><li>Strong understanding of data structures, algorithms, and software design principles</li><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>Please apply by sending your CV and a motivational letter in English.

1410 – Manager, Data Engineer – AI and Automation

Our client&nbsp;is seeking a highly skilled and experienced Cloud Engineer to join their team. In this role, you will be responsible for designing, implementing, and maintaining their cloud infrastructure. You will work closely with their development and operations teams to ensure the reliability, scalability, and security of their cloud-based services.ROLE RESPONSIBILITIES<ul><li>Design and Implement Cloud Solutions: Develop and deploy scalable, reliable, and secure cloud architectures using industry best practices.</li><li>Infrastructure Management: Maintain and manage cloud environments, ensuring optimal performance and cost-efficiency.</li><li>Automation: Develop automation scripts to streamline deployment, management, and monitoring of cloud resources.</li><li>Security: Implement and enforce security best practices to safeguard their cloud infrastructure and data.</li><li>Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and continuous improvement of their cloud services.</li><li>Troubleshooting: Identify and resolve technical issues related to cloud infrastructure and services.</li><li>Documentation: Maintain comprehensive documentation of cloud infrastructure, configurations, and processes.</li><li>Stay Current: Continuously research and stay up-to-date with the latest trends and advancements in cloud technology.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>Minimum of 5 years of experience in cloud engineering or a similar role.</li><li>Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong understanding of cloud architecture principles and best practices.</li><li>Experience with infrastructure-as-code tools such as Terraform or Cloud Formation.</li><li>Proficiency in scripting languages like Python, Bash, or PowerShell.</li><li>Proficiency in scripting Airflow DAGs</li><li>Solid understanding of networking concepts and protocols.</li><li>Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>Strong problem-solving and troubleshooting skills.</li><li>Excellent communication and teamwork abilities.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala.</li><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>Please apply by sending your CV and a motivational letter in English.

1409 – Manager, Cloud Engineer – AI and Automation

As a Senior Manager, Commercial Data Products, your role is to act as a trusted advisor for the US &amp; International commercial stakeholders and identify scalable Commercial data products to solve key business questions.You will be responsible for managing the development and deployment of Commercial data products at scale and be the digital owner of the end-to-end product roadmap.You are expected to work closely with the Digital creation centers, AIDA Commercial COEs, Data Science Industrialization &amp; Data engineering teams and Global commercial Analytics to bring the power of AI, Data and analytics to support key strategic priorities for the commercial organization.As the single point of contact for you will act as domain expert for commercial stakeholders and are expected to act as an orchestrator to drive success in delivery and adoption of these products.ROLE RESPONSIBILITIES<ul><li>Product manager for assigned Commercial data products</li><li>Process owners for scaling, enhancement and industrialization of Commercial data products</li><li>Lead product roadmap creation, development &amp; deployment for key strategic Commercial data products</li><li>Provide digital interface and support for enterprise transformation initiatives supported by Commercial data products</li><li>Partner with CMO-Commercial analytics and act as key interface with Digital/AIDA creation centers &amp; CoEs</li><li>Orchestrate delivery for key AIDA priorities through partnership with Global Commercial Analytics including the Analytics Gateway</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)</li><li>7+ years of work experience in healthcare/life sciences consulting, analytics or product management in a diverse range of projects</li><li>2+ years’ experience in application of Data/AI/ML in pharma/healthcare commercial organizations</li><li>Experience of working in complex cross-functional environment with senior stakeholders in the pharma commercial domain with very strong communication and ability to influence without authority</li><li>Experience of working in an ambiguous environment and strong problem-solving ability using quantitative approaches</li><li>Strong English communication skills (written &amp; verbal)</li></ul>PREFERRED QUALIFICATIONS<ul><li>Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline</li><li>Hand-on experience in at least one data/analytics engineering /data science language/platforms/technology (SQL, Python, R, SAS, Alteryx, Dataiku)</li><li>Hand-on experience in developing data or AI/ML products for pharma commercial applications</li><li>Product management background in healthcare analytics/technology</li><li>Understanding of pharma commercial data landscape</li></ul>Please apply by sending your CV and a motivational letter in English.

1406 & 1407 – Senior Manager, Commercial Data Products

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azure cloud engineer

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1410 – manager, data engineer – ai and automation

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1409 – manager, cloud engineer – ai and automation

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1406 & 1407 – senior manager, commercial data products

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