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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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The Senior Director, Data Strategy and Measurement will play a key role in designing and managing enterprise data strategy, data products, data governance, infrastructure and technical workflows to align data needs, sources and uses across Audubon.
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This role requires strong technical expertise in the identification, data analytics, qualification and validation of biomarkers to support pharmacology and toxicology package, target liability assessment, understanding of MoA, and clinical biomarker strategies for efficacy/safety evaluation and patient identification.
$156,000 - $195,000 a yearFull-timeExpandUpdated 30 days ago - UpvoteDownvoteShare Job
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Collaborates in implementing components of data strategy – Master Data Management (MDM), data virtualization etc. Data is central to ICW Group’s business strategy and digital evolution, and the Data Engineer ensures optimal data delivery architecture is consistent throughout all projects.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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As the Director, Data Strategy and Integrations, you'll be responsible for defining and leading data initiatives including Data Integration, Data Cataloging, Data Governance and Master Data Management.
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The analyst will also monitor performance, quality and control plans to identify improvements within JIRA, ALM Helix or other tools along with data, security, and project management improvements.
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This person is expected to promote sound decision making by providing senior management and executive leadership with information and resources related to Payor Strategy and Ballad Health strategic initiatives.
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With oversight from your Strategy Lead, responsible for weekly strategic account planning for 1-3 clientsIdentifying top-performing concepts within accounts using data and creative analysisIdentifying effective concepts/trends in the social media ecosystem.
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The Data Architect ensures tight alignment and collaboration with technology and business teams, taking ownership for essential data strategy decisions. As part of the McKesson Data & Analytics team, this individual will be responsible for designing, developing our data architecture strategy.
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You will have 10+ years of relevant data management consulting or industry experience (master data, metadate, data architecture, data governance, data lineage, data quality, data modelling, data standards, data strategy.
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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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6 years of data and/or analytics or strategy consulting experience; OR a minimum of 4 years of data and/or analytics or strategy consulting experience and up to 2 years of progressive functional business relevant experience for a total of 6 years combined experience; OR Advanced Degree in Business, Science, Finance, Economics or related discipline and 4 years of experience in data and/or analytics or strategy consulting.
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Contribute to the development of Data Strategy roadmaps. As a Data & Analytics Strategy Engineer, you will collaborate with cross-functional teams, including IT, engineering, and internal stakeholders.
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Leverage experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains. Determine data quality strategy, metrics, and business rules for a business domain to ensure that data is fit for purpose.
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Will assist in the rollout of CNB’s Data Governance reporting and strategy structure that includes: Data Governance and Policy, Data Quality and Control, Data Strategy and Architecture, Master Data Management, and Analytics Data Management.
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