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Head Healthcare Data Analytics

Company: Management Consulting Company
Location: Philadelphia
Posted on: February 17, 2020

Job Description:

ResponsibilitiesAlign and direct the management, development, and integration of data analytics and business intelligence necessary for supporting the mission, vision strategies, objectives, and goals of business. Work closely with the Director of Healthcare Data-Ops who will, amongst other issues, be responsible for the ingest, ETL, integration and structuring of datasets as well the development maintenance of the systems architecture including technology stack needed by the analytics group. The Analytics Department under the DoHA will report to the Vice President of Product Innovation and work with product, sales and marketing and leadership to produce results to support specific internal and external client requirements as well the development of knowledge bases to meet Client defined products. Have a variety of technical and leadership skills. Technically they must be strongly capable of problem ideation (operationalizing ambiguously stated assertions and questions), strong "hands-on" experience using a variety of statistical, machine learning models. Excellent understanding of what candidate models are used in what circumstances. Demonstrated background in building chains of analysis and learning cycles. Experiment design (including A/B testing), validation and data quality skills as applied to data, models and productization. Understand the requirements in the handling and the use of Protected Health Information (PHI) and associated governing laws such as HIPAA. Have demonstrated the ability to build and maintain a healthy, diverse department. They must be comfortable working with a wide range of stakeholders and functional teams. Have excellent presentation and communications skills. They need to understand and have facility in connecting business and technical issues. Have have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve the Client's business outcomes. Qualifications:Education: PhD in fields such as Data Science, Computer Science, Information Technology, Bioinformatics, Economics, Statistics, Information Systems, Applied Math.Work experience may be considered in lieu of some of required credentialsExperience: At least 10 years of working experience in data analytics activities preferably working as a Head of Analytics for a firm or firms in the healthcare information space. Vast and successful experience in bringing together diverse functions and building teams that include data analytics and warehousing personnel, guiding them through successful data analytic projects. Demonstrate experience in business process analysis, data architecture design and development as well as the implementation of workflow enabled solutions. Experience working in market/business intelligence, strategic planning, project management, and cross-functional business experience as well as vast experience working with large datasets. The candidate will be able cite numerous and lengthy periods of hands on effort, and results. Analytical Skills:Strong problem solving skills with an emphasis on problem ideation.A commitment to and demonstrated background incorporating analytics in frameworks such as DIKW and PDCACountless experiences working through research/analysis cycle, includingData munging/wranglingETL and quality issuesEDAFeature extractionModel selectionDiagnostic/Cross validationNext step determines and repetitionsExperience using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets.Experience working with and creating data architectures.Knowledge of a variety of machine learning techniques (supervised/unsupervised, classification/regression, e.g. clustering, decision tree learning, nearest neighbor, artificial neural networks, SVM, ensemble etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.A drive to learn and master new technologies and techniques.Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience querying databases Experience using web servicesExperience visualizing/presenting data for stakeholders using: Tableau, Periscope, Business Objects, D3, ggplot, etc.

Keywords: Management Consulting Company, Philadelphia , Head Healthcare Data Analytics, Healthcare , Philadelphia, Pennsylvania

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