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Strong technical and consultative experience managing ESI through the EDRM including staging, processing, culling, email threading, clustering, communication analysis, machine learning, predictive modeling, etc.
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Manage matters within Cardinal Health's internally hosted E-Discovery platform including processing, data culling, email threading, predictive analytics and workflows, tagging layout design and implementation, custom field creation, batch creation, search creation, production sweeps and QC, and production creation and transfer all with an eye toward best practices.
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This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. RoleWe are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter.
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The eDiscovery team at Cardinal Health is a specialized team of eDiscovery professionals, with backgrounds in Legal, IT, Project Management, and Data Analytics. Experience consulting on and implementing effective preservation and collection strategies for various data types outside of email, including Forensic Laptop Imaging, Teams, Mobile Messaging, Slack, Salesforce, Structured Data, etc.
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Utilize industry standard electronic discovery and data forensic hardware and software to ensure data integrity and defensibility. Utilize a variety of archiving and data analysis applications and provide technical subject matter expertise to legal professionals.
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8 years of eDiscovery Project Management/Consultant experience preferred. Conduct preservation, collections and processing using the following tools: EnCase, Cellebrite, Nuix, Heureka, Relativity One, M365 Compliance Center.
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The Senior Advisor, eDiscovery role is a non-attorney role that is responsible for consulting on and effectively and defensibly preserving, collecting, and delivering ESI as required to support various litigation and investigations.
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Stay up to date on innovative and effective eDiscovery preservation and collection workflows and tools. Partner with Cardinal Health’s litigation and investigation teams to effectively preserve, collect, and deliver ESI as required.
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Partner with internal counsel, outside counsel, and vendors on all aspects of the EDRM driving forward eDiscovery best practices. Industry Certifications are a plus: RCA, PMP, Brainspace, etc. Drive forward the development and implementation of practical eDiscovery workflows, maximizing efficiency and accuracy while mitigating risk, focusing on automation and proactivity for the department holistically.
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This team is tasked with driving the enterprise-wide global management of all phases of the eDiscovery lifecycle in a defensible, proactive, consistent, repeatable, and cost-effective manner. Develop, modify, and implement practical eDiscovery workflows, maximizing efficiency and accuracy while mitigating risk, focusing on automation and proactivity for the department holistically.
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This position routinely collaborates with internal and external legal professionals and eDiscovery professionals as well as other functions at Cardinal Health (e.g., Compliance, IT, Information Governance.
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The eDiscovery team, including this role, reports into the eDiscovery Director. Strong understanding of and experience with designing and driving forward eDiscovery best practices. The team is responsible for the development, execution, and proliferation of Cardinal Health’s eDiscovery best practices throughout all phases of the EDRM and across internal and external case teams and eDiscovery vendors.
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Excellent communication skills, both written and oral, including ability to translate legal requirements as well as technical aspects of processing, forensic collections, and form of production issues to the business.
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What eDiscovery contributes to Cardinal Health. Experience consulting with outside counsel and law firm clients. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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By innovating and implementing state-of-the-art machine learning, data science, and large language model solutions, you'll help shape the future of sustainable fashion retail. Design and develop machine learning models to power our personalization and search ranking algorithms.
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