• Develop Data Integration methodologies within a complex drug development environment based on new and still evolving technologies, data structures and data standards
• Develop the plans and support the strategy of data integration implementation for Decentralized Clinical Trials, Biomarkers, Sensors, Wearables, EHR, EMR, and Medical Imaging
• Identify potential difficulties in reaching project/goal within defined timelines and suggest appropriate remediation solutions
• Support Data Base Building team during the study setup on the implementation of data integration flow at study level according to study planning
• Support external data vendors on Metadata specificities and processes to streamline the data flows implementation in the optimal way and timelines
• Promote clinical standards related to data integration usage and educate about Industry network / Regulatory requirements on external data integration
• Document and/or ensure documentation is completed for external Data integration-related processes including meeting minutes, action items, team decisions, recommendations, identified issues, etc.
• Represent Clinical data integration group in multidisciplinary working groups (internal and external)
• Work with the Digital department to develop and update technical documentation
• Create and maintain study setup according to Sanofi standards and SOPs and provide expertise to identify and solve issues/problems, which prohibit a normal data processing
• Provide expertise in terms of complex study setup as well as Edit Check/Custom Function programming for the evaluation and implementation of new technical solutions (related to clinical data management systems and external tools/interfaces) and related processes

Skills: Data Integration Design, Strategic Planning, Vendor Collaboration, Regulatory Compliance and Education, Documentation Management, Interdisciplinary Representation, Technical Documentation, Technical Problem Solving

• Maintain, improve, and add new data connections (APIs) between critical systems, either individually or by managing the efforts of support partners.
• Act as a liaison with end-users for system support and enhancements.
• Work with end-users to identify and develop requirements or correct issues
• Individually implementing or translating requires supporting partners as needed
• Project Management of IT initiatives and collaborations with various technical staff.
• Develop and maintain project plans, manage project and stakeholder meetings
• Deliver projects on time and on budget while achieving project goals
• Support new technology implementation including policy development and system documentation.
• Train users in both new and existing IT systems.
• Provide assistance with technical issues
• Problem-solving to revise existing systems and suggest improvements
• Produce concise yet thorough reports within IT and for other teams

Skills: API Integration, User Liaison, Requirements Gathering, Project Management, Time and Budget Management, Technology Implementation, User Training, Technical Problem Solving

• Management of a global team of data integration engineers
• End-to-end provision of data requirements for all trading-related research, and analytics globally
• User requirements gathering (working closely with business stakeholders, research analysts and data scientists)
• Data interface and pipeline development
• Ongoing development and management of data integration technology in collaboration with AWS Platform Engineers
• User support and incident management
• Report to Data Sceince and Engineering team Technical Lead
• Work closely with trading technology leads (CIO, CTO)
• Work closely with senior data scientists, data engineers, research analysts, and traders in a highly commercial environment
• Report to the Senior Director of Data, Analytics and Integrations.
• Technical Ownership of the Data lake platform including system and data architecture, engineering and data pipelines

Skills: Global Team Management, Data Requirements Provisioning, User Requirements Gathering, Data Interface Development, Technology Collaboration, User Support and Incident Management, Technical Reporting, Data Lake Ownership

• Lead effort in defining business rules to map source ERP data to the new common information model and supporting the execution of data replication waves within the project scope.
• Identify and mobilize subject matter resources (SMRs) in support of data integration.
• Support development and completion of a detailed validation process against business requirements in support of common information model (CIM) design.
• Support delivery of documentation on the process of data integration to ensure the knowledge gained for future integrations.
• Raise data integration risks, issues, decisions, and change requests; and support risk mitigation, issue resolution, decision making, and organizational change resolution.
• Support overall project management plan, governance structure and status reporting activities, and communication plan in alignment with the project manager(s) and organizational change management workstream
• Given the Global Nature of the role, this position may be based anywhere Worldwide
• Advise our colleagues from the departments in the field of data management from the identification of the business problem to the implementation of a solution. 
• Analysis of existing data sources, the consolidation of these, but also the creation of new data, as well as the presentation of data are focal points of work.
• Accompany application implementations with a data/integration view and are part of the consulting and implementation team

Skills: Business Rule Definition, Subject Matter Resource Mobilization, Validation Process Support, Documentation Delivery, Risk and Issue Management, Project Management Support, Data Analysis and Consolidation, Application Implementation Consulting

• Drive the development and implementation of data-centric project execution methodologies and digitalized processes in daily work activities across multiple teams
• Define required data integration capabilities and identify/train needed resources
• Coordinate data integration requirements and solutions with IT
• Prepare BIM execution plans and negotiate with customers during proposal phase
• Implement BIM execution plans during the project execution phase and ensure the delivery of the BIM model for proper collaboration and decision-making
• Ensure proper communication with project stakeholders and consistent data flow between all parties
• Ensure matured quality of data model including associated documents and maintain it
• Development and maintenance of the organization’s back end technology while managing a small team of SQL Developers. 
• Assist in the onboarding/integration of client data into the organization’s proprietary Software. 
• Managing staff and integrating clients the Manager will work with the CDO, Data Science and Business Intelligence Teams to optimize and enhance the SQL databases and backend SQL technologies.

Skills: Data-Centric Project Methodologies, Data Integration Capabilities, IT Coordination, BIM Execution Planning, Project Execution Oversight, Stakeholder Communication, Data Quality Management, Back-End Technology Management

• Experience of enterprise solution shaping and architecture development including excellent documentation skills.
• Possession of either the Developing Microsoft Azure Solutions or Architecting Microsoft Azure certifications.
• Experience of designing and delivering distributed cloud solutions using Microsoft Azure
• In-depth and demonstrable hands-on experience with the large numbers of the following technologies:
• Experience with Microsoft Azure PaaS and SaaS solution development technologies including Azure Functions, Logic Apps, .NET, JavaScript etc.
• Experience with Microsoft Azure App Service Fabric, App Service Environment, Microsoft Azure API Management platform technologies
• Experience with JSON, REST and data based APIs and high scale performant service facades
• Experience with Microsoft Azure Identity Management and Security technologies including custom SAML 2.0 providers
• Experience with Azure Service Bus and Azure Notifications Hub
• Experience with Microsoft Azure Operational and Monitoring tools

Qualifications: BA in Data Science with 7 years of Experience

• Familiarity with any of the following would be distinct advantage: Azure Data Analytics platform including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Search, Azure Databricks
• Experience with best practice design principles and approaches for a range of application styles and technologies to help guide and steer decisions.
• Experience working with structured and unstructured data
• Experience working in a Dev/Ops environment with Continuous Integration and Deployment would be a distinct advantage.
• Experience of working in highly dynamic teams using agile methodologies often under demanding timescales.
• Experience in motivating and managing team performance in delivering to agreed timelines
• Strategic mindset with strong analytical foundation
• Ability to drive continuous improvement across the organization
• Ability to operate in a cross-functional / matrix environment
• High level of personal integrity consistent with Allogenic's values

Qualifications: BS in Computer Science with 5 years of Experience

• Excellent organizational skills and an ability to prioritize effectively to deliver results within reasonably established timelines
• Ability to work independently and as part of a team
• Strong interpersonal skills including verbal and written communication are essential in this collaborative work environment
• Ability to analyze complex business problems and evaluate solutions
• Ability to translate complex technical issues into business terms
• Excellent verbal and written skills with the ability to present complex information in a clear and concise manner
• Understand complex data, and effectively translate issues into non-technical terms through excellent verbal and written communication skills
• Experience working with SQL, Python, or similar languages
• Ability to develop well-rounded personnel via complete and actionable development plans

Qualifications: BA in Information Systems with 6 years of Experience

• Experience in data integration, data lake, solution design, development, and implementation
• Experience with leading data integration tools like Dell Boomi, AWS Glue, Mulesoft, Informatica or AirFlow
• Experience with big data technologies like Spark, Hadoop, AWS RedShift, S3 and Athena
• Programming experience in Python and experience writing shell scripts
• Broad IT operations experience, with emphasis on Life Sciences-related systems delivery required
• Experience with the use of SDLC methodologies in project delivery required
• Understanding of SOX and GxP controls with experience working in an FDA-regulated environment
• Experience across the Quality Systems landscape, with a focus on the Veeva Vault Suite of products (Quality Docs, Submissions, etc.)
• Ability to work directly with business partners and end users to generate consensus around technical directions

Qualifications: BS in Software Engineering with 7 years of Experience

• Experience in designing, implementing, and supporting turnkey and custom data integrations
• Experience in managing dynamic, collaborative, and high-performing teams
• Strong track record of driving change and process improvements
• Experience developing and maintaining integrations across several systems and or iPaas solutions
• Strong project management and organizational skills
• Advanced proficiency in SQL
• Advanced proficiency with popular CRMs (e.g. Salesforce), ERPs (e.g. Netsuite), HCMs (e.g., Workday), or subscription management systems (e.g. Zuora)
• Intermediate proficiency in a programming language (e.g., Python)
• Intermediate understanding of REST APIs
• Experience with iPaas solutions (e.g., Workato, Tray, Boomi)
• Solution-oriented mentality and passion for problem-solving

Qualifications: BA in Business Analytics with 3 years of Experience