Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You'll Do We are seeking an analytics subject matter expert to provide management, technical, and overall support to the analytics O&M team. This individual will act as a key resource to guide and support the leadership team, ensuring continuity of operations and effective knowledge transfer from the existing team. The role requires strong project oversight skills, the ability to manage shifting priorities, and excellent communication to support a seamless transition and maintain alignment with analytics O&M objectives. In addition to management responsibilities, the candidate must possess deep technical knowledge in Jupyter Notebooks, entity resolution, and Hive. They will deliver on-the-ground tactical support, helping the team design and troubleshoot analytic workflows, implement robust entity resolution solutions, and optimize data management leveraging Hive. Their hands-on expertise will ensure that the analytics O&M team maintains analytic excellence and operational efficiency throughout the engagement. The Team Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees