4 Data Traceability Jobs

As a valuable member of the warehouse team, your primary responsibility will be to ensure control and management of the ASRS (Automatic Storage and Retrieval System), AGV system, and Picking Robots. Your role is crucial in maintaining the correct flow of materials and guaranteeing fault-less operation in various areas such as picking, dispatch, and receipt processes. You will be entrusted with managing the synchronization and interaction between SAP and the ASRS, along with other related systems. It will be your duty to participate in and lead improvement initiatives aimed at enhancing the efficiency, effectiveness, and productivity of the ASRS. This includes managing faults, implementing new projects, ensuring safety protocols, optimizing storage, and staying updated on trends related to the system and its components such as AGVs, racks, mobile devices, conveyors, and robots. In addition to overseeing the third-party maintenance team, you will collaborate closely with the Warehouse team to ensure that activities are aligned with the plant and customer requirements. Your role will involve ensuring error-free operations and conducting essential troubleshooting of equipment in the warehouse to guarantee the timely delivery of materials to both internal and external customers. On a day-to-day basis, you will be responsible for ensuring the correct functionality of the ASRS in various processes such as shipping, receiving, picking, and supply to production. You will also manage the integration and optimization of the company's different platforms with the ASRS to facilitate seamless communication within the system. Moreover, you will be in charge of training warehouse personnel on research processes, root cause analysis, and data traceability to identify and resolve ASRS faults efficiently. You will create procedures and work aids for associates and general personnel on the proper handling and usage of the ASRS, AGV, Robots, and related sub-systems. Furthermore, your role will involve owning the control room to ensure equipment uptime, generating reports, resolving faults, and ensuring the timely delivery of materials. You will also coordinate with the ground operations team to maintain inventory hygiene, prioritize tasks for automated systems, and ensure timely delivery or calling of manual commands. Your contribution to the development of new ASRS functionalities, design changes, improvements, and tests will be highly valued. Additionally, you will participate in global benchmarking platforms to enhance the automation of the company's ASRS or related systems for the plant. Compliance with Food Safety guidelines, Integrated Management System, KORE Corporate Standards, and other legal requirements will be essential. You will also be responsible for generating reports on team missions, analyzing productivity, and proposing opportunities for improvement in various processes. Overall, your role will be critical in ensuring the smooth operation of the ASRS and related systems, maintaining high performance indicators, and driving continuous improvement in warehouse operations. Your dedication and expertise will contribute significantly to the success of the team and the company as a whole.,

ole Enterprise Data Architect Team Enterprise Architecture team Designation Vice President Reporting Chief Architect Team 1-2 Solution Architects Responsibility Maintaining & managing the existing data architecture for the bank and setting up the strategy for the banks data architecture. The design and implementation of the enterprise-wide data strategy, ensuring the strategy supports the current and future business needs. They will apply their knowledge of good architecture practice, architecture documentation and data technologies. To comprehensively capture the bank’s current state holistic data architecture and oversee target state design and implementation. Providing technical architecture direction, oversight and hand-hold delivery teams for the delivery of target state data architecture. The role will involve collaborating with Business heads, Data teams, IT Heads. IT teams and internal and external tech stakeholders (OEM & implementation vendors, partners). To ensure the enterprise data strategy and associated implementation adds value to the business. Drive Innovation in the areas of Data, Analytics and AI/ML Main duties Documenting the detailed holistic enterprise data architecture for both current and target state Capturing the enterprise data model, working with the Data & analytics team to align to the conceptual and logical models. Setting the strategy for data architecture to support the Business and IT strategies and maintaining the data architecture principles. Creating data architecture documents and templates for change initiatives and supporting solution architects to complete. Lead data architecture governance forums and provide subject matter expert input to architecture decisions. Manage holistic roadmap of architecture change initiatives across the bank, coordinating requirements across different initiatives. Provide technical expertise for change initiatives, working with solution architects, technical architects and business product owners. Identifying Innovation in the Data, Analytics and AI/ML area and drive the same to implementation. Build and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models, Data dictionary, taxonomy to aid data traceability.• Provide technical oversight to Solution Architects in creating business driven solutions adhering to the enterprise architecture and data governance standards. Develop key performance measures for data integration and quality. Working with the wider Enterprise Architecture community to develop the target architecture. Qualification Essential: Educated to degree level or hold equivalent experience. 5+ years’ experience delivering information management solutions to large numbers of end users. 10+ years’ experience in architecting and implementing enterprise data warehouse, Master data Management, data integration, BI & analytics, content management and data management platforms. Experience of creating and implementing data strategies that align with business objectives. Strong knowledge of industry best practices around data architecture in both cloud and on prem solutions. A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Data Lake, and other analytics products. Excellent knowledge of how Analytics & AI/ML solutions work. Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including normalization, OLAP / OLTP principles and entity relationship analysis. Experience of mapping key Enterprise data entities to business capabilities and applications A strong knowledge of horizontal data lineage from source to output. Excellent communication and presentational skills, confident and methodical approach, and able to work within a team environment. Excellent communication and presentation skills and the confidence to deliver ideas clearly and concisely to stakeholders at all levels of seniority. Desirable: Experience of working in Financial Services. Engineering Graduate. TOGAF Certified or equivalent Certified Data Management Professional (CDMP) or equivalent Data Certification

Roles & Responsibilities: Design hybrid integration architectures to manage data flows between SaaS-based PV systems, internally hosted systems and platforms. Implement middleware solutions to bridge on-premise and cloud environments, applying Application Programming Interface API-first integration design pattern and establishing secure data exchange mechanisms to ensure data consistency and compliance. Work with SaaS providers and internal IT teams to define integration approach for Extract Transform Load (ETL), event-driven architecture, and batch processing. Design and maintain end-to-end data flow diagrams and blueprints that consider the unique challenges of hybrid environments. Define and enforce data governance frameworks to maintain data quality, integrity, and traceability across integrated systems. Lead all aspects of data lifecycle management for both cloud and internally hosted systems to ensure consistency and compliance. Act as the main point of contact between pharmacovigilance teams, SaaS vendors, internal IT staff, and other parties to align technical solutions with business goals. Ensure alignment with the delivery and platform teams to safeguard that the applications follow approved Amgen s architectural and development guidelines as well as data/software standards. Collaborate with analytics teams to ensure timely access to PV data for signal detection, trending, and regulatory reporting. Continuously evaluate and improve integration frameworks to adapt to evolving PV requirements, data volumes, and business needs. Provide technical guidance and mentorship to junior developers. Basic Qualifications Master s degree with 4 to 6 years of experience in Computer Science, software development or related field Bachelor s degree with 6 to 8 years of experience in Computer Science, software development or related field Diploma with 10 to 12 years of experience in Computer Science, software development or related field Must-Have Skills: Demonstrable experience in architecting data pipeline and/or integration cross technology landscape (SaaS, Data lake, internally hosted systems) Experience with Application Programming Interface (API integrations) such as MuleSoft and Extract Transform Load (ETL tools) as Informatica platform, Snowflake, or Databricks. Strong problem-solving skills, particularly in hybrid system integrations. Superb communication and collaborator leadership skills, ability to explain technical concepts to non-technical clients Ability to balance technical solutions with business priorities and compliance needs. Passion for using technology to improve pharmacovigilance and patient safety. Experience with data transfer processes and taking on stuck or delayed data files. Knowledge of testing methodologies and quality assurance standard processes. Proficiency in working with data analysis and QA tools. Understanding data flows related to regulations such as GDPR and HIPAA. Experience in SQL/NOSQL database, database programming languages, data modelling concepts. Good-to-Have Skills: Knowledgeable in SDLC, including requirements, design, testing, data analysis, change control Knowledgeable in reporting tools (e.g. Tableau, Power BI) Professional Certifications: SAFe for Architect certification (preferred) Soft Skills: Excellent analytical skills to gather options to deal with ambiguity scenarios. Excellent leadership and progressive thinking abilities Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to balance multiple priorities Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Ability to influence and strive to an intended outcome Ability to hold team members accountable to commitments

Process & Industrial skills, Assembly line Process Design, development, Torquing strategies, PFMS, costing, capex, lean assembly, data traceability, TPM, TQM, VSM, Kanban, Kaizen, lean, APQP, PQCDSM targets, Six Sigma, Shainin RedX, Journeyman, MES