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This role will raise the bar for engineering talent and deliver world class execution (as measured by agility and DORA metrics) on behalf of our clients, realizing our vision of driving stronger business decision quality and operational efficiency through the power of data driven insights, advanced analytics, artificial intelligence and machine learning.
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This role will collaborate closely with enterprise credit teams, reporting production teams, data owners, finance/risk reporting teams, and the CFO Group to deploy regulatory reporting solutions, execute initiatives to improve data quality and operational excellence, and provide subject matter expertise on regulatory data requirements.
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As a member of the Data Quality (DQ) Audit team, the candidate will execute audit programs designed to measure and report on data risk across the enterprise. Should have the ability to perform high quality, risk-focused fieldwork, in accordance with Corporate Audit methodologies and standards in order to identify meaningful issues, risks and other exposures as it relates to data and as outlined in the Enterprise Data Management standard.
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The Project Manager with be responsible for construction management, engineering and commissioning of complex projects with an in-depth understanding of all project management functions – from scheduling, budgeting, quality, risk, health and safety – to provide overall direction and leadership for data center projects.
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As the Senior Manager, Clinical Data Management, you will play a crucial role in maintaining the integrity and quality of data management outputs across clinical studies. Approve all data management documentation, including CRF, data validation plans, and others, ensuring compliance with DMP and quality standards.
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Research and apply additional QA/QC and Lean procedures to enhance the quality of project delivery. Position Description: Responsible for planning, coordinating and developing the project-specific Quality Assurance/Quality Control (QA/QC) Plan that incorporates the policies and procedures necessary to deliver the project fully compliant with the contract documents.
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Ensuring data quality and implementing data governance strategies. We are in search of a dynamic and experienced Data Engineering Manager to join our Engineering team.
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Delivery: Leading teams to provide the highest quality application management solutions related to SAP HCM and/or SuccessFactors; maintaining a hands-on role to manage operational performance including SLAs, efficiency measures, demand planning and profitability; leading the team in the identification of business requirements, functional and process design, prototyping, testing, training and defining support processes and procedures.
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You will be helping clients in areas such as (but not limited to) Data Governance, Metadata Management, Data Architecture, Data Modelling, Data Quality, Document and Content Management, Master Data Management, Open Data, Personal Data Protection, Data Security.
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This role is ideal for a dynamic and experienced data management professional seeking to contribute to high-quality clinical research projects by leveraging their expertise in data management, regulatory compliance, and project management.
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Establish data governance policies, procedures, and standards to ensure data quality, privacy, and security. · Manage relationships with external data providers and partners to ensure access to high-quality healthcare data.
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Quality assurance, risk, or audit experience either for a policy or a data management function or equivalent. Title: Data Governance Manager. Strong relationship management skills and executive presence to engage with FLU/CFs and senior data executives (i.e., lead testing kick-off meetings and reporting to stakeholders.
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Sodexo has an exciting new opening for a Senior Manager, Data Quality to join our team. As an integral part of the team, you will assist in the day-to-day operations of the department; this may include support of the Master Data Management (MDM) Team with an emphasis on product data, matching, data quality and analyses.
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