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Includes objectives, stakeholders, scope, roles and responsibilities, assumptions and constraints, deliverables, Work Breakdown Structure (WBS), schedule, external communication, regulatory strategy, procurement strategy, contractor and supplier strategy, resource plan, budget, lessons learned, risk plan, quality plan, safety plan, environmental plan, security plan, integration plan, data management plan, communications and reporting plan, change management, and project close out.
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With a focus on integration, curation, and quality assurance across diverse data sources, coupled with our expertise in managing data infrastructure and crafting impactful visualizations, we're not just enabling analytics - we're powering world-class solutions that propel Pfizer's mission forward.
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Master Data Management and R&D/Creation/RM - Integration into Pre-Sale. Quality ISO Certifications, preparation and management of scheduling and completing Action items etc. Familiar with Quality Assurance practices in a manufacturing environment.
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Additionally, these teams provide expertise in reporting, business intelligence, data science, data engineering and integration, and data quality improvement. Act as a liaison between business stakeholders and the data engineering group to set expectations, define requirements, perform data quality assurance testing, and deliver enterprise datasets for self-service reporting.
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Managing teams that perform data management, including master data, data warehouse, data analytics, data architecture, data quality, and data modeling, utilizing Extract, Transform, Load (ETL) tools, Azure Blob Storage, and erwin Data Modeler tool for Snowflake Cloud Data platform or Relational databases.
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Ensure data accuracy in our system and drive solutions in integration among SAP, Tableau, and Salesforce.com. Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures.
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Plan and implement post go-live operational support structure for Oracle cloud environment to provide day-to-day user support, recurring update & enhancement management, master data management, reporting & analytics support, integration management, system health KPI tracking, etc.
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The Construction Project Manager will also collaborate with Microsoft Security, Integration, Project Engineering, Risk Management, BIM coordination, Quality control and other internal groups to maintain the corporate vision and goals for the Project.
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The PSC Telehealth Supervisor will also be responsible for the development of strategies around quality improvement and reporting for telehealth visits and outcomes, including data collection and analysis of patient satisfaction surveys following the patient visit.
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In a High-Reliability Organization, the QM Coordinator, reporting to the Director of Quality, is responsible for coordinating and acquiring data from source systems specific to clinical quality management regulatory and performance improvement metrics using methods of audits, tracers, chronologies, root cause analysis and rounding skill validation activities.
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3+ years of hands-on experience in statistical process control and data analysis, using tools such as JMP, Tableau, Matlab, or equivalent. Expertise in and understanding of manufacturing and operational fundamentals, such as Quality Control Plans (QCP), Statistical Process Control (SPC), Change Control Board (CCB), Material Review Board (MRB), Machine and Process Buy-off (MBO/PBO), pFMEA, overall equipment efficiency (OEE), units per hour (UPH), etc.
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Information Technology Services (ITS) provides exceptional technology services and solutions that enrich the student experience, advance teaching and learning, improve outcomes, and effectively manage and protect institutional data.
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Assist in data strategy and governance, data quality, and data architecture and modeling projects. Experience developing and automating extraction, transform, and load (ETL) processes including using enterprise data integration tools.
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Experience with governance, controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity and compliance, and data quality management.
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Analyze data, troubleshoot, and recommend process control adjustments under the supervision of the quality control manager. Test and records data on other as requested by terminal manager and QC manager.
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