The Project Manager will drive technology and analytics delivery by: (1) managing and leading technical team members, (2) managing all facets of project execution and high-quality delivery in scope, on time, within budget, (3) managing client expectations and client satisfaction in product delivery, and (4) overseeing contractual, financial, and resourcing data and information for the client and the ERI organization. The ideal Project Manager will also have an understanding and appreciation for data, analytics, and technology, and will have involved in the design, build, test, deploy phases of data analytics and data science products and solutions. Internally, they regularly interface with technical data scientists, data engineers, data analysts, and software engineers to aid in business analysis, requirements gathering, technology design and delivery, and quality assurance. Externally, they regularly interface with clients at numerous levels of an organizationprogram managers, stakeholders, end-users, data owners, analysts, IT groups, and managementto facilitate and lead the tactical delivery of analytics projects.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees