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The Account Business Enablement Manager at DXC Technology leads operational support for tier one accounts, ensuring compliance to BE processes and optimizing data management. Responsibilities include coordinating with finance and sales teams, analyzing operational data, driving process improvements, and mentoring peers.

The Junior Project Manager/Controller will ensure effective monitoring and governance of projects, managing deliverables and documentation, and providing administrative support. Key responsibilities include updating project plans, financial trackers, risk logs, and preparing project reports for stakeholders.

The Data & AI Presales Solution Architect will develop complex business solutions, provide architecture recommendations, and engage with senior client executives. Responsibilities include conducting technology assessments, designing data solutions, and collaborating with sales to drive engagement while mentoring less experienced staff.

The Technical Custom Applications Sales Professional at DXC Technology will lead complex sales efforts in Custom Applications, driving growth through new business opportunities, proposals, and partnerships. Responsibilities include educating clients, maintaining pipeline data, and collaborating with account teams. The role requires a strong track record in sales and business development.

The Sisense Data Analytics Technical Consultant will become a Subject Matter Expert on the Sisense tool, providing training to clients and assisting in the creation of reports and dashboards within the Assure Claims insurance application. The role includes teaching, consulting, and coordinating with development teams and vendors.

The CyberLife Insurance Product Expert will develop software products, guide teams, ensure project delivery, and support less experienced team members. Responsibilities include managing project tasks, monitoring timelines, mitigating risks, and fostering innovation and collaboration within the team.

Lead a team of data engineers to develop scalable data pipelines and optimize workflows for advanced analytics. Collaborate with data architects and ML engineers on data preparation and model deployment. Ensure high-performance engineering processes and provide mentorship to team members.