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Experience with other cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform and Snowflake is a plus. This class of SaaS applications is built on the Oracle Cloud Infrastructure (OCI) with data and analytics components like Oracle Autonomous Data Warehouse (ADW), OCI Data Lake, and Oracle Analytics Cloud (OAC.
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Experience with Oracle Fusion Applications (FA), Oracle Analytic Cloud (OAC) or Oracle Cloud Infrastructure (OCI) is a plus. Partner with Oracle Fusion Applications, OCI, ADW, OAC and other services to develop features to extend the Data Intelligence Platform.
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Experience with SaaS applications from Oracle, Salesforce, Workday, Domo or SAP is desirable especially around infrastructure and life-cycle management. Join a team developing the next generation of AI-powered analytical applications built for Oracle Fusion Cloud Applications, combining business data, ready-to-use analytics, and pre-built AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results.
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Unused balance will carry over each year up to a maximum cap of 112 hours. Qualified candidates will have experience building and managing large scale Data Warehouses, Data Lakes, Cloud-based analytics services, AI or machine learning models and related technologies.
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Preferred Education background - MBA/MS with undergraduate degree in engineering, science, mathematics, statistics, economics. Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
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Build out platform capabilities such as integration with Data Lakes, security frameworks, machine learning models and providing more real-time insights at enterprise scale. Voluntary benefits including auto, homeowner and pet insurance.
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We put our people first with flexible medical, life insurance and retirement options. Employees working fewer than 20 hours per week are not eligible for vacation. Experience with large-scale SaaS applications, infrastructure and operations is desirable.
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Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We're committed to including people with disabilities at all stages of the employment process.
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Work with release management, engineering, customer support, documentation, and training teams to launch quarterly releases. Engage with Oracle SaaS customers to understand their needs and expectations.
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Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Oracle careers open the door to global opportunities where work-life balance flourishes.
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When everyone's voice is heard, we're inspired to go beyond what's been done before. Short term disability and long term disability. 8+ years' experience across large scale enterprise applications and analytics.
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Capture detailed product requirements and define the roadmap for the Data Intelligence Platform. This role would lead efforts to enhance this platform and requires an experienced, driven individual with technical acumen and strong leadership abilities.
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Ability to work independently and with minimal supervision. As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
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If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
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The ideal candidate will have deep experience leading enterprise migrations using a blend of Oracle technologies (Oracle EBS, Fusion, Oracle Financials Cloud, Oracle Field Services, OCI, OIC and databases) as well as more open, cloud-based technologies (MS Azure, AWS) with knowledge of related technologies and approaches.
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