Chief Architect - CCC Transformation

• Set up, configure, and optimize web servers and applications using Nginx, IIS, and PHP, ensuring the performance and security of applications. • Establish and execute backup procedures, conduct regular tests to ensure data recovery processes are effective and efficient for all managed systems and applications. • Implement and enforce security policies for applications and servers, managing user roles and permissions while monitoring unauthorized access attempts. • Monitor the performance of servers and applications, optimizing configurations and queries to ensure efficient operation and resource usage. • Utilize Power BI to develop and maintain reports and dashboards that provide valuable insights for business operations. • Diagnose and resolve application and system issues, including performance bottlenecks, service disruptions, and connectivity problems. Requirements • Have good experiences with Windows Server and Linux operating systems. • Extensive experience with both Windows Server and Linux operating systems, including expertise in managing Nginx, IIS, and PHP environments. • Proficiency in setting up Power BI reports and creating dashboards to visualize data and provide business insights. • Expertise in implementing backup strategies and recovery plans for both applications and systems. • Strong understanding of application and server tuning, ensuring optimal performance of managed environments. • Understanding and enforcing security best practices, including user management, encryption, and access controls.

700Apps is seeking a dynamic Project Manager to lead our digital transformation initiatives. The ideal candidate will possess a strong background in project management, particularly in technology-driven environments, and will be responsible for driving projects that enhance our digital capabilities. Responsibilities Lead Digital Transformation Projects: Oversee the planning, execution, and delivery of digital transformation projects, ensuring alignment with business goals. Stakeholder Engagement: Collaborate with cross-functional teams and stakeholders to gather requirements and ensure project objectives are met. Resource Management: Allocate resources effectively and manage project timelines to ensure successful delivery. Risk Management: Identify potential risks and develop mitigation strategies to address them proactively. Performance Monitoring: Track project progress and performance metrics, providing regular updates to senior management. Change Management: Facilitate change management processes to ensure smooth transitions during project implementations. Quality Assurance: Ensure that all deliverables meet quality standards and align with organizational policies. Requirements Bachelor’s degree in Business Administration, Information Technology, or a related field. Minimum of 5 years of experience in project management, with a focus on digital transformation initiatives. Strong problem-solving and decision-making abilities. Problem-Solving & Decision-Making: Proven ability to analyze complex problems and develop effective solutions. Project Management: Demonstrated expertise in prioritizing and managing multiple projects simultaneously, ensuring timely delivery and adherence to quality standards. Team Management: Experience in leading and managing projects with distributed teams, fostering collaboration and communication across various locations. Communication: Exceptional verbal and written communication skills, with the ability to engage and influence stakeholders at all levels. Interpersonal Skills: Strong relationship-building capabilities, facilitating effective teamwork and collaboration. Certifications: Relevant certifications such as PMP or PRINCE2 are preferred. Nationality: Saudi National.

SAP ATTP Consultant: 7 – 8 Years Experience Role Overview The SAP ATTP Consultant is responsible for the implementation of Onboarding (CMO /MAH), configuration, and support of SAP Advanced Track and Trace for Pharmaceuticals (ATTP)solutions. The role ensures compliance with global serialization regulations, enabling secure supply chain traceability, and integration with ERP and other systems. The consultant will work closely with business stakeholders, IT teams, and external partners to deliver end-to-end traceability solutions aligned with industry and organizational Key Responsibilities: Implementation and Configuration • Lead SAP ATTP implementation projects, including requirement gathering, solution design, and system configuration. • Configure serialization processes, master data setup, and integration with SAP and non-SAP systems. • Develop and test track-and-trace scenarios to ensure regulatory compliance. Integration and Support • Integrate SAP ATTP with SAP S/4HANA, ERP systems, warehouse management systems (WMS), and third-party serialization platforms. • Monitor and troubleshoot ATTP system performance and interfaces to ensure optimal operation. Compliance and Regulatory Alignment • Ensure SAP ATTP meets global pharmaceutical serialization and traceability regulations, including SFDA, TATMIN, and other regional mandates. • Stay updated on evolving compliance standards and provide recommendations for system updates. Support Expectations • Offer post-go-live support for SAP ATTP solutions, addressing system issues and resolving user concerns. • Monitor and analyze serialization and traceability data for continuous improvement opportunities. Stakeholder Engagement • Collaborate with cross-functional teams, including supply chain, quality, manufacturing, and IT, to align ATTP functionalities with business needs. • Provide training to end-users and create detailed documentation for system usage and processes. Qualifications and Skills • ATTP hands on Experience as tool for serialization (Must be completed 1 -2 ) ATTP full lifecycle implementation • Integration of SAP ATTP with SAP S4 HANA • Integration of SAP ATTP with Packaging Lines/OSM • S4 HANA & ATTP Master Data Set up • 5-7 years of Serialization Experience • 7+ years of SAP Functional Experience • Serial number provisioning - Contract Manufacturing organizations(CMOs) / Contract Packaging Organization(CPOs) / Brand Owner (MAH) • Onboarding CMO (Contract Manufacturing organizations) & MAH (Marketing Authorization Holder) • SAP Functional LE or SD or WM Experience • Serialization and Global Track & Trace (Traceability) Strategy and Solution Architecture • Business process knowledge-Pharmaceutical products packaging, aggregation, Barcode printing, and verification • Knowledge in GS1 standards (GTIN, SGTIN, GLN, SGLN, SSCC, GCP)

The Data Privacy Manager at the Data Management Office (DMO) is responsible for ensuring the organization's data management practices comply with relevant data protection regulations and Saudi’s Personal Data Protection laws. The role involves developing, implementing, and monitoring privacy policies, conducting privacy impact assessments, and working closely with various departments to promote data privacy awareness and best practices. Key Responsibilities: Develop and maintain data privacy policies, procedures, and guidelines in alignment with national and international data protection regulations. Conduct regular audits and assessments to ensure compliance with data privacy laws and regulations. Identify and assess potential privacy risks and work with relevant teams to mitigate them. Lead the development and execution of Privacy Impact Assessments (PIAs) for new projects, systems, and data initiatives to identify and address privacy risks. Design and deliver data privacy training programs for staff across the organization. Promote a culture of data privacy and protection. Qualifications: Bachelor’s degree in IT , Law, Information Security, Computer Science, or a related field. CIPP, CIPM, CIPT is preferred. 10+ years of experience in data privacy, data protection, or a related field. Strong knowledge of data protection laws and regulations, such as PDPL, GDPR, CCPA, or equivalent national regulations. Experience in conducting Privacy Impact Assessments (PIAs) and managing data breach incidents. Excellent communication and interpersonal skills, with the ability to influence and educate stakeholders on data privacy matters. Strong analytical and problem-solving skills.

SWATX is seeking a dedicated Managed Services Coordinator to oversee and streamline our Managed Services operations. In this vital role, you will be responsible for coordinating service delivery, managing client relationships, and ensuring that our managed services meet and exceed client expectations. You will act as a bridge between our clients and technical teams, fostering communication and collaboration to achieve optimal service performance. Requirements Key Responsibilities: Coordinate the delivery of managed services to clients, ensuring timely and quality execution of service agreements. Establish and maintain effective communication with clients to understand their needs and requirements. Track and manage service requests, incidents, and escalations, ensuring swift resolution and client satisfaction. Collaborate with technical teams to align services with client expectations and operational capabilities. Monitor service performance metrics, report on service levels, and propose improvements as necessary. Assist in the preparation of project plans, timelines, and documentation related to service delivery. Support the onboarding process for new clients and services. Actively participate in team meetings and contribute to the continuous improvement of service delivery processes. Qualifications & Skills: Bachelor’s degree in Business Administration, IT, or related field. 1-3 years of experience in a service delivery or coordination role, preferably within managed services. Strong organizational skills and the ability to manage multiple projects simultaneously. Excellent communication and interpersonal skills. Proficient in using project management tools and software. Understanding of IT service management principles and practices. Ability to work independently as well as part of a team.

We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing. Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices. Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources. Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling. Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs. Design new service offerings and solutions in E-Commerce and different fields. Keep up to date with latest trends and technologies in the data science and ML fields. Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues. Work closely with Business Analysts and product development teams to understand and implement their requirements. Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions. Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions. Requirements Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred. At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling). Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms. Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred). Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications. Experience in Deep Learning algorithms and techniques. Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).- Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn). Excellent in Algorithms and Object-Oriented programming. Familiarity with database technology (design and implementation) and query language. Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred. Strong organizational and project management skills. Good problem-solving skills. Excellent communication and presentation skills Benefits Medical Health Insurance Performance Bonus Others