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Lead experiments and drive maturity in applying emerging technology disciplines including robotic process automation, machine learning, GenAI, self-serve analytics to the Enterprise Risk portfolio.
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The VP, Enterprise Planning Solutions is passionate about applying leadership, organizational discipline and technology to transform the retail apparel industry. Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake.
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5+ years of field sales experience in the enterprise software/SaaS space, experience within data integration, analytics, and business intelligence required. Innovative Problem-Solving: Develop creative strategies in partnership with our internal & external advisors and law enforcement veterans, crafting tailored solutions that set a new standard of what’s possible in law enforcement technology.
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MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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The purpose of the Manager, Analytics Technology - Applications position is to (1) own the management and evolution of our analytics applications ecosystem, (2) assess the usefulness of new analytics tools, applications, platforms and (3) enable analytical output delivery and integration throughout the enterprise.
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Familiarity with SQL, Bloomberg, or financial analytics providers (FactSet, Yieldbook. CRD is the company behind Charles River Investment Management (CRIMS), an enterprise investment management software tailored to institutional investors, wealth managers, hedge funds, and other large financial firms.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Utilize the following technology in everyday work activities: Epic Hyperspace, Microsoft SQL Management Studio, Oracle SQL Developer, MEDE Analytics, Crystal Reports and Business Objects.
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Lead experiments and drive maturity in applying emerging technology disciplines including robotic process automation, machine learning, self-serve analytics to the Enterprise Risk portfolio.
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Lead evangelist and influencer for all things 'Enterprise Data' for the WW team at OMG by establishing strong business and technology relationships throughout the company. As Product Manager - Enterprise Data & Analytics you will help create, modernize, and evangelize enterprise data products and processes by leading a portfolio of projects and tools which will deliver efficiency and operational excellence to Omnicom Media Group's senior financial and media leaders throughout the globe.
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MAJOR RESPONSIBILITIES/ESSENTIAL FUNCTIONS:Develop and oversee a world-class, enterprise-scale data and analytics technology practice, ensuring the delivery of high-quality, actionable insights that drive business strategy and performance.
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To deliver this we provide customer strategy, technology implementation, data solutions, business change management, user experience design and development, marketing activation and advanced analytics services to help clients achieve rapid time-to-value from Adobe technology.
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Broad understanding of multiple technologies These include; Blue Yonder suite of products/architectures ERP (SAP) & ERP Datawarehouses (SAP BW) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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We're seeking a talented Enterprise Architect with expertise in the forest products industry, enterprise architecture, and geospatial data analytics. Leads the analysis of technology within the industry and market trends to determine their potential impact on the enterprise architecture.
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