Essential Skills/Experience Expertise in the respective business domain and on SAP MM with S/4 HANA. Involved in at least 1 full life cycle S/4HANA Implementation and should be certified in S/4HANA Sourcing and Procurement. Strong knowledge in Business process Configuration. Rich knowledge on interface solutions with ECC and Third Party Systems. Expertise on SAP Fiori Apps and Embedded Analytics related to MM functions. Good knowledge on SAP MM integration with FI, CO, SD, PP, QM PM functions. Knowledge on classic Business workflow and S/4 Flexible workflow. Data Migration with SAP S/4HANA Migration Cockpit. Knowledge on EML, SAP Activate Methodologies, SAP Best Practices for SAP S/4HANA . Experience working in globally distributed team. Strong written and verbal communication skills. Strong analytical, Interpersonal and Stakeholder Management skills. Desirable Skills/Experience Knowledge on SAP WM/EWM and SAP ABAP Debugging Exposure to testing tools Knowledge on SAP ADM Good Presentation skills Jira and Solution Manager for handling Change Management process as a User. MDG Integration and master data elements like Material master business partner. Expertise on SAP Fiori Apps related to MM functions. Worked in a hybrid environment with a mix of internal and external resources in multiple geographical locations.

Support development of technical programming specifications for SDTM, ADS or ADaM standards. Independently develop and/or validate programs that generate SDTM, and analysis datasets based on Alexion or ADaM specifications. Support development and validate technical programming specifications for tables, listings, figures/graphs based on Protocol and SAP. Independently develop and validate programs that generate tables, listings, figures/graphs using Alexion specifications. Manage external vendors and contract programmers. Provide project progress updates of programming activities. Review, maintain, and approve protocol specific documents as necessary. Provide guidance and mentoring to peer, junior-level Programmers and contract staff. Support project leadership ensuring that department standards are implemented in all studies. Contribute ideas and thoughts towards the optimization of standard operating procedures. Lead team meetings when appropriate. Any other activities as required. Essential Skills/Experience: Minimum of 6 years of statistical programming experience in the Pharmaceutical, Biotechnology, or Contract Research Industry. Proven ability to: Develop and validate technical specifications and programs for safety and efficacy analysis datasets, tables, listings, and figures/graphs. Independently and collaboratively resolve problems Clearly communicate processes and standards with management and team members High competence in using SAS/Base, SAS/Macro, SAS/STAT. Knowledge of SAS/Graph, and SAS/SQL Knowledge and implementation of: SDTM and ADaM principals Relational Databases. Good Clinical Practice principals. Good Programming Practice principals. 21CFR Part 11 Standards principals. Integrated Summary Safety/Efficacy Analyses. Safety data and Coding Dictionaries (MedDRA and WHODD). ICH eCTD format.

Essential requirements: Proven experience of leading high performing delivery teams globally Six Sigma or Lean Management Black Belt certified alongside proven experience in the analysis re-design of sophisticated, multi-function business processes, bringing to bear recognised business process re-engineering techniques, e.g. Lean six sigma, Kaizen Demonstrated experience of leading high-profile projects/organizational change activities Strong team member management, influencing presentation/oral communication skills Energetic and self-motivated Strong analytical skills to be able to discover and interpret business change requirements Thrives in a fast-paced and evolving environment and is willing to adapt responsibilities to meet organisational strategic priorities Willingness to undertake some domestic/international travel (as required) Desirable Skills/Experience Significant experience of various related BPM capabilities i.e. Process/Task Mining, Robotics Process Automation, Low Code automation, BPM, workflow tools. Experience and proven results of change projects within the Pharma industry Experience of working in Agile methodology Experience of working globally

Essential Skills/Experience: - A Masters Degree in Computer Science, Information Systems, Engineering, Business, or related scientific/technical field preferred. - Minimum of 10 years of experience in data engineering, business analysis, and data management. - Exceptional verbal and written communication skills; ability to convey analytical insights in actionable business terms. - Highly motivated self-starter with confidence to present complex information effectively to all audiences. - Strong analytical, logical thinking, and organizational skills; capable of managing multiple projects simultaneously. - Ability to anticipate future business trends and integrate them into IT and business practices. - Proven track record of effective functional and multi-functional collaboration and leadership. - Diligent self-starter; able to work independently and in a team environment. - Desire and ability to learn/implement new tools and analytic capabilities. - Experience designing methods, processes, and systems for consolidating and analyzing structured/unstructured data from diverse sources. - Experience developing advanced software applications, algorithms, querying, and automated processes for data evaluation. - Proven ability to design complex, large-scale data solutions that are scalable, robust, secure, and resilient. - Pharmaceutical or Life Sciences industry experience a plus. - Experience using dbT, Fivetran, GitHub, Apache Airflow. - Extensive hands-on experience with SQL, Python, ETL/ELT frameworks, and data orchestration pipelines. - AWS Architecture Framework knowledge and certification. - Expertise in Snowflake concepts like resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, data sharing, time travel, SnowSQL, SnowPipe, Streamlit, Cortex. - Experience in data quality and observability tools/methodologies. - Understanding of FAIR and TRUSTed data product principles. - Knowledge of data governance frameworks/compliance standards relevant to life sciences industry (GDPR/HIPAA). - Experience with ETL/ELT/Data Loading tools using Apache Airflow, AWS Glue with Python. - Experience bringing to bear AI technologies for ELT processes and automating self-healing data pipelines. - Experience working with data science operations teams using serverless architectures, Kubernetes, Docker/containerization. - Solid understanding of analytic data architecture/data modeling concepts/principles (data lakes/warehouses/marts). - Data warehousing methodologies/modeling techniques (Kimball/3NF/Star Schema). Desirable Skills/Experience: - Prior experience of 10+ years as a Data Platform or Technical Leader in biotech/pharma industry. - Advanced experience with cloud platforms beyond AWS (Azure/Google Cloud/Databricks) for data engineering/storage solutions.

Project management - manage projects, ensuring timely delivery and quality outcomes. Essential Skills/Experience Bachelor s Degree Track record in leading projects of medium complexity Management consulting experience Experience in people management and developing and motivating teams Strong sense of customer service and customer engagement Experience in project and quality assurance practices Demonstration of strong influencing, communication and relationship building skills Comfortable and skilled in operating in a complex operational matrix organization across diverse, global teams Desirable Skills/Experience Project Management Certification Change Management Certification Pharmaceutical or equivalent global & complex organization experience; experience of working within a quality and compliance environment and application of policies, procedures and guidelines

Accountabilities Collaborate with vendors and internal collaborators to define requirements and develop implementation plans. Monitor system change requests and ensure alignment to IT standards. Serve as Technical Subject Matter Expert (SME) for SAS-related applications. Provide guidance and assist in the preparation of system-related specifications and documentation. Maintain day-to-day application systems, identifying and solving issues. Ensure all production changes align with life-cycle methodology and risk guidelines. Work on application enhancements and upgrades as vital. Liaise with internal teams/vendors to address application issues. Communicate effectively with users during planned/unplanned outages. Follow good documentation practices by creating and publishing Knowledge Base Articles (KBAs). Create technical backlogs/Story/Epic in JIRA based on product priority. Essential Skills/Experience Biometrics (AR) Domain/Technology Bachelor or master s degree in computer science or life science related field with IT/CRO/Pharma experience with a total of 15 years of experience. Industry experience working or implementing solutions based on CDISC Clinical Reporting Standards (SDTM, AdaM, TLF Reporting). Minimum 7-8 years working experience in SAS GRID related administration. Accredited Certifications SAS Administration from Vendor. Good understanding of SAS Programming shell scripting, reporting tools, infrastructure. Ensure system security and control procedures are implemented and maintained. Maintain configuration specification documentation for functional and integration configuration. Work with software vendors on product requirements and issues related to the platform. Knowledge of client-server networking and database management. Administration background in SAS Viya 3.5/4.0 environments. Experience with SAS Visual Analytics Power BI highly preferred. Familiarity with shell scripting groovy scripting. Experience in R and Python is an added advantage. End-to-end knowledge of clinical trial development processes and associated system landscape. Solid grasp of common industry standard business practices related to clinical trials. Strong knowledge of ICH/G guidelines, 21 CFR Part 11, clinical trial methodology, and software development lifecycle activities. Knowledge of support processes like Incident Management, Problem Management, Change Management. Knowledge or experience with JMP Clinical, JReview, StatXact, CR Toolkit, Pinnacle 21. IT Engineering: Expertise and engineering attitude to help design and implement Clinical Data Solutions adhering to Products on Platform Strategy. Demonstrable ability to handle diverse collaborators and ensure high satisfaction delivery. Ability to work independently in a dynamic environment. Good communication and interpersonal skills to lead customers in urgent situations. Experience in Gxp validated systems implementation and maintenance of applications. Knowledge of Identity management solutions based on AZURE, OKTA, Oauth, Ping Federate/AD technologies. Understanding database concepts for optimizing reporting, data mapping, and programming. Experience in developingInterfaces/Integrationbetween on-premises and SaaS Platform enabled Products using API s, Web Services (MuleSoft), and ETL (SnapLogic) tech enablers. Knowledge of using/creating build tools and CI/CD (maven, ant, gradle, Sonar). Experience with Cloud Platforms such as AWS, AZURE. Experience working with JIRA, Confluence, Bitbucket, Automated Testing tools. Experience working in agile teams using methodologies such as SCRUM and SAFe leading a team of 5+ working in an Agile DevOps model. Experience programming in Java or other object-oriented programming languages. Experience delivering or developing workshop material, training, gap analyses, or requirements gathering sessions with business and system collaborators. Certification in IT delivery framework, Scrum Master, DevOps Lead role. Participate in business requirement gathering and design activities with business IT collaborators as part of scrum team. Perform delivery activities throughDesign/Build/Test/Deployphases for regular releases on AR platform.

Strategic Leadership Develop and implement the Manufacturing Process Intelligence strategy to align with AstraZeneca s 2030 bold ambition. Develop a Manufacturing Process Intelligence technology roadmap that considers and makes use of technology advancements that will benefit Operations through Manufacturing Process Intelligence processes that contribute to AstraZeneca s goals and objectives. Proactively plan Manufacturing Process Intelligence projects and programmes globally with relevant AstraZeneca sites/regions. 2. System Implementation and Optimisation Govern the design, configuration, integration, and deployment of PAT solutions globally to ensure standardisation and enterprise efficiencies. Ensure PAT solutions align with industry standard processes, regulatory requirements (e.g., FDA, GMP), and company standards. Continuously evaluate system performance and see opportunities for optimisation. 3. Stakeholder Collaboration Collaborate with multi-functional teams, including Manufacturing BPO s, Site teams, IT, ERP teams and external vendors to develop, deliver and maintain the Manufacturing Process Intelligence strategy and PAT systems globally. Collaborate with IT Business Analysts, Architects and Service Delivery teams to plan, deliver and operate PAT solutions globally. 4. Compliance and Risk Management Ensure all PAT implementations stay in sync with regulatory requirements and cybersecurity standards. Develop and maintain SOPs related to PAT usage, data integrity, and system validation. 5. Budget and Vendor Management Manage the PAT program budget and ensure efficient solutions. Evaluate, select, and maintain relationships with PAT vendors and third-party service providers. Essential Skills/Experience Education Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or a related field. Experience: Minimum 8 years of progressive experience in IT within manufacturing, with at least 5 years in a leadership role focusing on Manufacturing Process Intelligence and/or PAT. Industry Knowledge Strong understanding of pharmaceutical manufacturing, GMP practices, and regulatory frameworks. Technical Expertise Proficiency in PAT platforms (e.g. Siemens SIPAT) and their integration with other systems where required including Historian (OSI PI, Wonderware), MES (PASX and Tulip), ERP (SAP ECC and S4), LIMS, and automation and control systems (Siemens WinCC SCADA, DeltaV DCS). Good working knowledge of modelling and calculation tools, instrumentation, OPC (various flavours), and ideally continuous manufacturing equipment from Consigma (e.g. CDC50) and Zeton. Leadership Skills: Proven ability to lead global teams and handle sophisticated, large-scale projects. Analytical & Problem-Solving Strong analytical mindset with the ability to troubleshoot technical challenges and deliver solutions. Communication

Accountabilities: As a Nonclinical SEND Data Associate, you will provide support across nonclinical functional areas, promoting and enforcing the use of nonclinical data standards. You will maintain metadata libraries, review and assess the impact of newly released and updated data standards, and communicate AZ data requirements to external vendors. You will also be responsible for quality validation and management of nonclinical datasets, training internal customers, assisting in warehousing and visualization activities, and ensuring submission-ready datasets are produced. Essential Skills/Experience: - Experience in a scientific environment - Knowledge of CDISC standards - Understanding of nonclinical study designs, data and documentation - Basic knowledge of regulatory guidelines and industry standards (FDA, ICH/GLP, PhUSE) - Experience in data process builds - Experience with LIMS and SEND solution software - Bachelor s degree (B.A./B.S.) or equivalent in a scientific or related discipline - Ability to communicate effectively (written and spoken) in English Desirable Skills/Experience: - Open to candidates with diverse skills and experiences

Accountabilities: Lead the design, development, and deployment of high-performance, scalable data warehouses and data pipelines. Collaborate closely with multi-functional teams to understand business requirements and translate them into technical solutions. Oversee and optimize the use of Snowflake for data storage and analytics. Develop and maintain SQL-based ETL processes. Implement data workflows and orchestrations using Airflow. Apply DBT for data transformation and modeling tasks. Mentor and guide junior data engineers, fostering a culture of learning and innovation within the team. Conduct performance tuning and optimization for both ongoing and new data projects. Confirmed ability to handle large, complex data sets and develop data-centric solutions. Strong problem-solving skills and a keen analytical mentality. Excellent communication and leadership skills, with the ability to work effectively in a team-oriented environment. 8-12 years of experience in data engineering roles, focusing on data warehousing, data integration, and data product development. Essential Skills/Experience: Snowflake SQL Airflow DBT Desirable Skills/Experience: Snaplogic Python Academic Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or related field.

Accountabilities Focus primarily on the design and maintenance of conceptual and logical data models (3NF) and their application within IT project and business data governance processes. Define data modelling standards and apply them within all work products. Own and develop artefacts that exploit data models to understand data and data integrations, including modelling data flows and developing CRUD matrices. Collaborate with multiple IT roles, including Data Analysts, Solution Architects, and Information Architects, to embed the use of data models within both project and strategic activities. Work with business data governance teams to integrate data models and associated definitions within governance processes. Build expert-level knowledge of business data and apply it in crafting data models and supporting artefacts describing AZ R&D data and data flows. Locate and define new process improvement opportunities. Essential Skills/Experience Experience of developing and applying conceptual and logical data models (3NF). Experience of using at least one data modelling tool - ideally ER/Studio or Erwin. Knowledge of both SQL and NoSQL databases. Understanding of fundamental design principles behind a scalable application and data design. Strong exposure to IT Project Lifecycle. Life Science Domain experience. Ability to interpret and communicate technical information into business language.

Accountabilities Continuously evaluate new quantitative analysis methods and technologies. Develop a deep understanding of internal customers data and analytical needs focusing on the customer-facing model leadership. Champion the use of local customer insight in strategic and resourcing decisions across the business. Collaborate with the US Sales Force Operations to ensure success of key business processes and coordination on joint initiatives. Identify and prioritize enhancements and new analytic capabilities. Can lead the development, deployment, and embedding of such capabilities across the organization. Instill a culture of continuous improvement, testing, and deployment of new capabilities for the business. Develop innovative analytical practices to create and sustain competitive advantage. Access appropriate information via a variety of tools and sources. Summarize and present findings through various communication channels. Apply deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.). Demonstrate a high level of understanding of the points of integration of our work and that of our colleagues. Monitor the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization. Essential Skills/Experience Quantitative Bachelor s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master s, MBA or PhD). 2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis. 5+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets. 4+ years of recent experience and proficiency with PySpark, Python, R, SQL. Working knowledge on platforms like DataBricks. Working knowledge of data visualization - PowerBI, MicroStrategy, Tableau, Qlikview, D3js or similar tools is a plus. - Experience in MS Office products - Excel and PowerPoint skills required. Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets. Experience with IQVIA data sets. Ability to derive, summarize and communicate insights from analyses. Organization and time management skills. Expertise in managing and analyzing a range of large, secondary transactional databases is required. Statistical analysis and modelling background. ML a plus. Statistical Analysis & Modelling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods. Data Mining, Predictive Modelling & Machine Learning algorithms. Optimization & Simulation. Desirable Skills/Experience Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered. Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team. Strong organizational skills and time management; ability to manage diverse range of simultaneous projects. Knowledge of AZ brand and Science (Oncology in particular). Experience using Big Data is a plus. Exposure to SPARK is desirable. Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly.

As a Solution Architect, youll be accountable for providing solution design support in one of the focused domains of architecture: Data, Application, or Infrastructure. Your responsibilities will include: Designing architectures and solution blueprints that address business, application, data, and infrastructure requirements. Collaborating with Business Analysis and Solution Engineering functions to support functional and technical requirements management. Ensuring solution architectures are robust and meet architectural requirements. Partnering with project managers, business analysts, and solution engineers to create solutions aligned with AstraZenecas architecture standards. Evaluating solutions, making buy vs. build decisions, and contributing to early-phase project estimates. Providing technical expertise to project teams and conducting architectural reviews throughout the project lifecycle. Ensuring compliance with existing EA guidelines and standards. Contributing to the development, implementation, and maintenance of standard architectural components. Working with third-party suppliers to verify technical development and delivery adherence. Documenting all architecture analysis and design work. Developing expertise in at least one architecture domain. Sharing knowledge and best practices with peer Architects. Essential Skills/Experience Relevant technical degree or equivalent Proven development/design experience in at least one technical domain Experience developing innovative solutions, blueprints, and standards for solution design Experience implementing and maintaining business solution architectures under any formal framework Experience developing and maintaining relationships with third-party suppliers Strong networking skills with good internal/external links Well-developed communication and facilitation skills Ability to interpret and communicate technical information into business language Awareness of marketplace developments for domain focus and potential impact to AZ IS Demonstrated initiative, strong customer orientation, and cross-cultural working Experience in developing/maturing an architectural practice Desirable Skills/Experience Proven business insight Understanding of the pharmaceutical/healthcare industry and competitor activity Ability to work well in diverse, multinational teams and influence others positively

Accountabilities As a Lead Consultant - HPC, youll own interconnect implementation, operations, reliability, and processes, translating AstraZenecas strategic vision into interconnect solution engineering. Youll demonstrate proficiency in technology domains to solve complex problems, perform audits to identify infrastructure risks, evaluate business requirements for solutions, ensure operational support for communication infrastructure at scale, troubleshoot priority incidents, and drive resolution of mitigating controls. Youll develop solutions to enhance user experience and efficiency, prepare design documents, sequence activities, support cluster interconnect repairs, contribute to monitoring and operations of communication infrastructures, and implement automation of interconnect infrastructure. Youll operate large-scale IP Networking Technologies and protocols, utilizing creativity in designing interconnects at scale. Essential Skills/Experience CCIE or NCA-AIIO or equivalent certification with a minimum of 10+ years of relevant working experience, including the last 5 years in large-scale interconnect architecture design implementation and support infrastructure deployment, implementation, and operations. TOGAF or equivalent and ITIL certifications are an added advantage. Good interpersonal skills with the ability to explain complex technological ideas to a non-technical audience. Ability to analyze and resolve communication-related issues. Ability to work in a high-paced environment, be flexible, follow tight deadlines, organize, and prioritize work. Significant experience working with vendors, professional services, and providers. Automation-first approach. In-depth technical hands-on experience in one or more of the following capabilities: interconnect Security, DC, Cloud Networking Automation. Deep technical knowledge in high availability design, implementation, optimization, and operations. Experience working in large enterprises is an added advantage. Agile Enterprise mentality. Self-starter who continuously develops new skills and proactively leads own career development. Excellent influencing, networking, and collaborative working skills. Ability to work well in and lead/collaborate across diverse matrixed global teams. Desirable Skills/Experience Working knowledge of Mellanox/Cumulus OS. Familiarity with leveraging tools such as Netbox, Prometheus, Grafana, Personar, LibreNMS to monitor and manage a global network. Passionate about innovating and investing in groundbreaking technologies.

Support provision of pharmacovigilance activities including local processes, procedures, and systems for collection, reporting, and tracking of Adverse Events (AEs). Review, assess, and process safety data from various sources, distributing reports to internal and external third parties. Identify Product Quality Complaint (PQC) and Product Security complaints, collecting necessary information for AE complaint reporting. Provide prompt support for regulatory authority queries related to the Patient Safety function. Implement Corrective and Preventative Actions in the event of local non-compliance. Ensure reconciliations for the accuracy of pharmacovigilance data transferred and received. Periodically screen regulatory authority databases for adverse events. Perform literature search and related activities for MC product portfolio if required. Undertake manual follow-up where required, disseminating clear and accurate information based on approved call scripts. Maintain filing and archiving practices of patient safety documents. Actively contribute to maintaining Good Pharmacovigilance Practice and being audit and inspection ready. Support external service providers to meet company and local regulatory PV requirements. Assist the local PS team in audits or regulatory authority inspections. Complete all required patient safety trainings and obtain access to relevant systems. Maintain current knowledge of relevant country regulatory authority regulations, global and local procedural documents, marketed status of products, and conditions relating to product safety. Essential Skills/Experience Degree Qualified - Pharmacy/ Medical/ Science Language skill - Thai and Vietnamese Pharmacovigilance knowledge excellence Good Pharmacovigilance Practice Knowledge of health authority regulations Cross-functional collaborative approach Effective and lateral thinking Problem solving Vendor management Excellent attention to detail Excellent written and verbal communication skills Desirable Skills/Experience Influencing and Conflict Resolution skills Medical knowledge in company Therapeutic Areas Project management Successful participation in above-market projects Audit & Inspection experience

Support provision of pharmacovigilance activities including local processes, procedures, and systems for collection, reporting, and tracking of Adverse Events (AEs). Review, assess, and process safety data from various sources, distributing reports to internal and external third parties. Identify Product Quality Complaint (PQC) and Product Security complaints, collecting necessary information for AE complaint reporting. Provide prompt support for regulatory authority queries related to the Patient Safety function. Implement Corrective and Preventative Actions in the event of local non-compliance. Ensure reconciliations for the accuracy of pharmacovigilance data transferred and received. Periodically screen regulatory authority databases for adverse events. Perform literature search and related activities for MC product portfolio if required. Undertake manual follow-up where required, disseminating clear and accurate information based on approved call scripts. Maintain filing and archiving practices of patient safety documents. Actively contribute to maintaining Good Pharmacovigilance Practice and being audit and inspection ready. Support external service providers to meet company and local regulatory PV requirements. Assist the local PS team in audits or regulatory authority inspections. Complete all required patient safety trainings and obtain access to relevant systems. Maintain current knowledge of relevant country regulatory authority regulations, global and local procedural documents, marketed status of products, and conditions relating to product safety. Essential Skills/Experience Degree Qualified - Pharmacy/ Medical/ Science Language skill - Thai and Vietnamese Pharmacovigilance knowledge excellence Good Pharmacovigilance Practice Knowledge of health authority regulations Cross-functional collaborative approach Effective and lateral thinking Problem solving Vendor management Excellent attention to detail Excellent written and verbal communication skills Desirable Skills/Experience Influencing and Conflict Resolution skills Medical knowledge in company Therapeutic Areas Project management Successful participation in above-market projects Audit & Inspection experience

Support provision of pharmacovigilance activities including local processes, procedures, and systems for collection, reporting, and tracking of Adverse Events (AEs). Review, assess, and process safety data from various sources, distributing reports to internal and external third parties. Identify Product Quality Complaint (PQC) and Product Security complaints, collecting necessary information for AE complaint reporting. Provide prompt support for regulatory authority queries related to the Patient Safety function. Implement Corrective and Preventative Actions in the event of local non-compliance. Ensure reconciliations for the accuracy of pharmacovigilance data transferred and received. Periodically screen regulatory authority databases for adverse events. Perform literature search and related activities for MC product portfolio if required. Undertake manual follow-up where required, disseminating clear and accurate information based on approved call scripts. Maintain filing and archiving practices of patient safety documents. Actively contribute to maintaining Good Pharmacovigilance Practice and being audit and inspection ready. Support external service providers to meet company and local regulatory PV requirements. Assist the local PS team in audits or regulatory authority inspections. Complete all required patient safety trainings and obtain access to relevant systems. Maintain current knowledge of relevant country regulatory authority regulations, global and local procedural documents, marketed status of products, and conditions relating to product safety. Essential Skills/Experience Degree Qualified - Pharmacy/ Medical/ Science Language skill - Thai and Vietnamese Pharmacovigilance knowledge excellence Good Pharmacovigilance Practice Knowledge of health authority regulations Cross-functional collaborative approach Effective and lateral thinking Problem solving Vendor management Excellent attention to detail Excellent written and verbal communication skills Desirable Skills/Experience Influencing and Conflict Resolution skills Medical knowledge in company Therapeutic Areas Project management Successful participation in above-market projects Audit & Inspection experience

Regulatory Reporting Compliance Ensure timely and accurate submission of regulatory reports, including Adverse Event Reports, Periodic Safety Update Reports, and other required documentation Interpret and apply global regulatory reporting requirements including those for health authorities Monitor updates to regulatory guidelines and ensure internal GBS processes align with evolving reporting standards Adverse Event and Safety Reporting Coordinate pharmacovigilance reporting activities, ensuring compliance with Good Pharmacovigilance Practices Work closely with safety teams to assess, process, and submit Individual Case Safety Reports within required timescales Assist in detection and risk assessment activities to client safety protocols Regulatory Documentation & Submissions Prepare, review, and submit regulatory reports, ensuring completeness, accuracy, and compliance within legal requirements Maintain documentation for regulatory audits and inspections Collaborate with cross-functional teams (e.g., Quality Assurance, Medical Affairs, Client PS Teams) to ensure alignment on regulatory reporting requirements Training and Process Improvement Provide training and guidance to GBS internal teams on regulatory reporting obligations and best practices Support audits and inspections by regulatory authorities and implement corrective actions as needed General Actively contribute to maintaining the core components of Good Pharmacovigilance Practice, via contribution to all safety-related processes and brand activities within countries of remit and being audit and inspection ready. Support external service providers to meet the company and local regulatory PV requirements. Complete all required patient safety trainings in adherence to internal processes and external regulations, and obtain access to relevant systems, such as Safety Database, Regulatory systems, Human Resources systems, Quality Management Systems, and other global or local systems commercial databases as appropriate. Maintain current and in-depth knowledge of: Relevant country regulatory authority regulations Global and local procedural and guidance documents Conditions, obligations, and other commitments relating to product safety or the safe use of AZ products Essential Skills/Experience: Bachelors degree in pharmacy, Life Sciences, Regulatory Affairs, or a related field 3 years + of experience in regulatory affairs, pharmacovigilance or regulatory reporting in the pharmaceutical industry Pharmacovigilance knowledge excellence Good Pharmacovigilance Practice Knowledge of health authority s regulations Cross-functional collaborative approach Effective and lateral thinking Problem-solving Vendor management Excellent attention to detail Excellent written and verbal communication skills Desirable Skills/Experience: Medical knowledge in company Therapeutic Areas Successful participation in above-market projects Audit & Inspection experience

Platform Management: Support and oversee the administration and maintenance of data platforms, ensuring they are reliable, scalable, and meet organizational performance requirements. System Integration: Manage the integration of data platforms with other enterprise systems, ensuring seamless data flow and interoperability. Data Management: Oversee the configuration and management of data catalogs, ensuring that data assets are organized, accessible, and maintained according to best practices. Data Quality & Observability: Implement and lead tools and processes to monitor and enhance data quality and observability, ensuring data integrity and availability. Technical Expertise: Provide technical leadership and oversight for platform-related projects, guiding the selection and implementation of appropriate technologies. Innovation and Trends: Stay informed about the latest trends in data platform technologies and incorporate relevant advancements to enhance capabilities and efficiency. Collaboration and Alignment: Work closely with the Data Management and Governance Specialist to align platform capabilities with data governance policies and business objectives. Vendor Management: Coordinate with vendors and service providers to ensure that platform needs are adequately met and that service level agreements are maintained. Vision and Roadmap: Develop and execute a strategic vision and roadmap for the evolution of data platforms, incorporating feedback from stakeholders and aligning with company goals. Project Delivery: Lead the management of platform-related projects from inception to completion, ensuring objectives are met on time and within budget. Essential Skills/Experience Proven experience in managing data platforms and related technologies. Ideally Data catalogue and Data Quality Platforms Strong understanding of data platform architecture and integration. Demonstrated experience with vendor management and negotiations. Excellent problem-solving and analytical skills. Ability to stay updated with technological advancements in data platforms. Strong organizational and leadership skills.

Essential Skills/Experience: Hands-on experience with Neo4j and Cypher query development. Solid grounding in RDF, OWL, SHACL, SPARQL, and semantic modeling standard methodologies. Strong proficiency in Python (or an equivalent language) for automation, data transformation, and pipeline integration. Demonstrated ability to define use cases, structure delivery backlogs, and manage technical execution. Strong problem-solving and communication skills, with a delivery-focused mindset. Bachelor s degree in Computer Science, Data Science, Information Systems, or a related field (Master s preferred). Desirable Skills/Experience: Experience with additional graph platforms such as GraphDB, Stardog, or Amazon Neptune. Familiarity with Cognite Data Fusion, IoT/industrial data integration, or other large-scale operational data platforms. Understanding of knowledge representation techniques and reasoning systems. Exposure to AI/ML approaches using graphs or semantic features. Knowledge of tools such as Prot g , TopBraid Composer, or VocBench. Familiarity with metadata standards, data governance, and FAIR principles.

What you ll do Support the definition, documentation and implementation of S/4 Enterprise Data standards related to P2DD, including master data, reference data and metadata - collecting the business context and ensuring approval in accordance with defined data governance. To include the development of conceptual models, business glossary and ontologies. Apply data, process and object expertise to support S/4 process design, acting as an integral part of the P2DD EWM design team, considering both business process and analytics requirements. Collaborates with current business data capability to ensure that S/4 design and the wider enterprise data design remain aligned (including supporting interim state). Influence in the prioritisation of data delivery as related to P2DD EWM defining and managing reporting on progress to relevant stakeholders. Supports with the definition of the change journey from current to future state data design including completion of change impact assessments and outline of critical use case examples. Ensure that non-SAP system requirements are understood and considered in the data design. Contribute to the development of the S/4 Data Governance Strategy and Roadmap, in collaboration with the business data offices, the S/4 Data & Analytics leadership team and wider project delivery engine where relevant. Assist in the development of the S/4 Data Quality Strategy and secure its execution through the steering and agreeing the data quality approach for data within P2DD enabling simplified migration, interim state, and the ongoing management of data to ensure that it remains fit for purpose post deployment. Contribute to the development of the S/4 Cleanse and Migrate strategy and execution approaches and plans. Input to the cleanse and enrichment approach for data within P2DD EWM in accordance with the overall data cleanse strategy. Provide support to project data migration processes, including the co-ordination of pre and post load business sign off. Ensure that data within P2DD EWM complies with the S/4 HANA Data Governance Framework and AZ Global Data Standards. Assist the S/4 Data Governance team in the creation of effective global procedures to ensure that each data asset is governed throughout its lifecycle. Essential for the role Significant experience and subject matter expertise in EWM/P2DD. Demonstrable knowledge of how business data requirements support process execution and analytics, with the ability to explain complex data concepts to business users. Demonstrable experience of designing and implementing Data Standards for a global enterprise with significant geographical and functional footprint. SAP working knowledge across transactions and reporting in an SAP environment, including an understanding of how data integrates within an SAP architecture. Experience of Business/IT partnering for the implementation of Data Governance-related solutions. Experience with global working and across cultures. Demonstrate strong communication skills with the ability to influence others to achieve objectives Ability to manage negotiations across a complex group, to a target outcome. Proven track record of delivery and ability to effectively prioritise to ensure goals and outcomes are achieved Desirable for the role S/4 HANA implementation programme experience. Experience in life sciences and healthcare. Experience in Data Governance Experience in measuring, managing and improving Data Quality. In depth knowledge of relevant key business processes.