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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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The Sensor Grid engineering team is responsible for all security sensors within Technology Risk. You will work closely with Threat Management Centre, Hunt, Detection Engineering, and Data Science teams to ensure our sensors and data streams are effectively configured, streamlined, integrated, automated and monitored to ensure the systems and data necessary to protect the firm from cyber threats is available.
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Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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About the Opportunity: As our VP Product Management - Data, you will be the key leader in delivering Sagent's promise of a modern, data-driven future for loan servicing. 8+ years in product management, data product, digital product, or related field with a high concentration on fintech, SaaS, and/or financial services (preferably loan or mortgage servicing.
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At least 3 years of experience in an engineering manager role while still being hands on; Making sure the teams deliver required functionality on time based on the current product roadmap; partnering with the Product team to evolve the roadmap based on customer feedback and team capacity; coordinating with the key internal and external stakeholders; maintaining a balance between developing new features and addressing technical debt.
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Strategic project planning, and BI Product management. Subject matter expert for analytical tools and techniques, primarily in business intelligence platform management (Tableau, Looker, PowerBI, Domo) and supporting tools (dbt, git.
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Data Technologies: Kafka, Spark, Hadoop, Presto, Alloy – a data management and data governance platform. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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The Sr. Product Manager, WAMO will have expertise which spans the entire product development life cycle from identifying customer needs to defining user experiences, ensuring successful launches and user adoption, driving ongoing enhancements; and leading an organizational shift to a product lifecycle management approach.
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Assist in planning landscape programs for the facility; consults with administration and management relative to planting plans; makes suggestions and implements program. SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies.
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The Technical Program Manager will work with product and engineering teams to deliver world-class features for SiriusXM and Pandora. Strong understanding of engineering software processes, lifecycle methodology, configuration management, release management, and system verification and testing.
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Accounting, finance, treasury, litigation matters and data management. Strong financial analysis and modeling skills with a solid understanding of financial statements and/or financial data management.
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Capture business requirements to develop business, logical and technical architectures, including data architecture, solution architecture, data models, data quality plans, data integration, API Management.
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data engineering product management jobs Title: intelligence technical program manager in Dallas, TX
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