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Our practice specialties include operational risk management, internal and external compliance, Financial Crimes prevention, Governance Risk and Compliance (GRC) capabilities, and digital fraud solutions.
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Ensure the adherence to best practices for web analytics implementation, data governance, and data privacy regulations within Adobe Analytics. Strong understanding of web analytics, data visualization, and the ability to derive actionable insights from Adobe Analytics data.
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Minimum of 3 end-to-end SAP Master Data Governance implementations. Minimum 7 years of experience with/in SAP Master Data Governance. Hands on experience/expertise in Master Data Governance including (but not limited to): Material Master, Finance Master Data Objects, Customer, Vendor.
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In-depthknowledge of Google Cloud Platform (GCP) services, especially BigQuery,Dataflow, and AI Platform for data processing and machine learning projects. This includes automating data pipelines, model training, anddeployment processes within Databricks, GCP, and other MLOps tools to ensurescalability, reproducibility, and high availability of models.
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Governance Risk and Compliance (GRC) Business and Technology, including direct experience with GRC technologies and Risk platforms to support broader enterprise needs. - Data privacy, including GDPR and CCPA standards, with experience in advising clients as it relates to usage and applicability of data standards.
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Functionally competent on multiple software systems including sales systems, data architecture, data processing, data analytics, SQL Management Studio Tableau, PowerBI, Analysis for Office, PowerPivot, Snowflake, SAP Hana, and Alteryx.
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Programming experience on Java, Hadoop / Big Data, Teradata, Hadoop and Netezza, MicroStrategy, Tableau experience a plus. Experience in multiple database platforms is preferred: SQL Server, Oracle, Exadata, Big data.
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Align with Other Data Management Disciplines: Engage with the Data Governance, Data Stewardship, Data Privacy, Master / Reference Data Management, Data Architecture, BI and Data Warehousing, Data Science, and other teams to ensure data quality and metadata management activity aligns with the other capability needs including the Global Data Governance Accountability Framework.
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Knowledge of Snowflake, AWS, Kafka, Airflow, Data Dog or similar big data technologies. Leading Data Operations Team: Oversee the data operations team responsible for resolving incidents and issues in data ingestion feeds, master data management, reference data management, Cloud Data Warehouse and data products.
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The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Experience in Implementing tools and services in data security and data governance domains such as data modeling, data classification, data access control, data masking, data quality, metadata management, catalog, auditing, balancing, reconciliation, and data privacy compliance like GDPR & CCPA.
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Implement data governance processes for item master data maintenance. Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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Will be working in the Financial Transformation office which is in Corporate Finance group which is under the CFO. This team is responsible for the transformation and modernization efforts across all areas of Finance; Finance Data Domain, responsible for data strategy and governance, and reporting needs across the enterprise.
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We are built on US Radiology s foundation - leveraging existing infrastructure and clinical governance developed in leading physician practices to bring collaboration and quality to the remote teleradiology world.
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Proficiency in utilizing HR analytics and HR systems to gather and interpret data for informed decision-making; experience in an HRIS system such as SuccessFactors a plus. Heavy lifting in organizational design, leadership development, succession and change management around shifting transactional service delivery to strategic business partnership through ownership, accountability and data driven mindset is critical to the business transformation to drive a performance-based culture across these functions.
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big data governance jobs Title: data engineer in Charlotte, NC
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