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Data Management and Quality: data mapping, data profiling, data catalog, relational data modeling, master data management, data governance, metadata management (ex.
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Working knowledge or ability to learn J.D. Edwards (JDE), SAP S4, Hyperion, IBM, SharePoint, ServiceNow and other applications where FSG maintains master data. The Financial Systems Governance (FSG) team in the Global Business Services - Master Data Services tower has an opening for an FSG Analyst.
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Encompassing master data management, data catalog, business glossary and data quality. Perform research, data collection, quality assurance, analysis and problem solving (Python, SQL, Informatica DQ, Unity Catalog in Databricks,Triage & remediate data quality, Data integrity or data management issues.
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Understanding of business processes in Anaplan including but not limited to model architecture, master data management, and workflow. Performing data integration between external systems like SAP ECC, S/4HANA, Workday, SAP BW, BPC, and Anaplan.
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Agile SCRUM Master Certified desired, or ability to secure in 60 days of hire. Identify data migration strategies to transition data from legacy systems and technologies to advanced, enterprise-based solutions and establish test data sets.
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Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence. Understanding of external data standards (e.g. HL7, CDISC, SDTM) and external data vocabularies (e.g. MedDRA, RxNorm, SNOMED.
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8 years of proven experience in Data Architecture, Master Data Management, authoritative data sourcing strategies, or major data transformation initiatives focusing on advancing curated, high quality enterprise data sets.
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You will leverage your intellectual curiosity, analytical mindset, and cross-functional program management skills to define & execute data governance and Master Data Management (MDM) strategies, and foster a culture of data-driven decision-making.
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Minimum of 2 end-to-end SAP Master Data Governance implementations. Minimum 3 years of experience with/in SAP Master Data Governance. Hands on experience/expertise in Master Data Governance including (but not limited to): Material Master or Finance Master Data Objects or Customer or Vendor.
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Organize and lead scrum teams as an agile scrum master (SM) or a release train engineer (RTE) Manage initiatives across several security domains such as asset & vulnerability managements, data protection, cloud security, and governance, risk & compliance programs etc.
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Design and optimize End to End SAP Core Master Data Governance process at the client. Work with the project team, team leaders, project delivery leads, and client stakeholders to create stand-out Accenture Master Data Governance offerings and SAP Digital Core.
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Work with the Agile Team, Product Owner, Release Train Engineer, and Scrum master to plan and execute work. Hands-on development experience with Databricks and columnar data. As a Senior Generative AI Data Engineer, you will be responsible for managing and optimizing the company's data infrastructure and architecture, designing and implementing data pipelines, developing data models, performing data integration, and ensuring data quality and governance for GenAI solutions.
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Participate in development and production support of non-ETL applications like Master Data Management (MDM), Qlik Sense (for BI Analytics), TIDAL (Enterprise Job Scheduler), etc. This developer will provide support in all aspects of data movement for a data warehouse environment (On-Prem to/from cloud) with a strong ETL focus on building and maintaining the Enterprise Operational Data Store (ODS) built on the Snowflake Data Cloud.
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1+ year Experience with configuring and troubleshooting high volume HL7 v2 data interfaces including ADT, Lab (ORU) and Vaccination (VXU). Work alongside client and its other subcontractors to analyze laboratory, immunization, disease surveillance and payer information for conformance to data specifications and implementation guides supporting COVID-19 and similar public health issues.
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The IT Analyst, Master Data Management will play a critical role in defining, coordinating, implementing, and technically enabling MDM for data across various systems relevant to Komatsu North America Region and Global Mining.
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