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IBM

TEL Delivery Consultant - Cognos Analytics Architect & Planning Analytics Architect

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What they do

A Software Architect develops and defines the architecture for computer software and applications projects. Oversees the entire software development process; may manage projects for multiple clients. Analyzes customer or user needs, defines system architecture, and leads team of software developers to design programs and build applications.

$139,478 / year median in Texas

+17% projected growth

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Job Description

  • Introduction
  • At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges.
Working across industries and geographies, you'll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact.

Success in Global Sales is built on curiosity, empathy, and collaboration. You'll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that's passionate about driving innovation and making a difference.
  • Your role and responsibilities
  • As a Delivery Consultant for Expert Labs Data Platform - AI, you will play a key role in implementing and delivering AI solutions to customers.
Your expertise will enable clients to successfully integrate AI technology into their operations.

Your primary responsibilities will include:
    Implement AI Solutions:
    Implement Analytics solutions for IBM customer, ensuring seamless integration and optimal performance.
      Educate Customers:
      Provide training and guidance to customers on the effective use of AI and Analytics solutions, empowering them to maximize the benefits of the technology.
        Support Production Deployment:
        Assist customers in moving solutions from development to production environments, ensuring smooth transition and minimal disruption.
        • Collaborate with
        Clients:
        Work closely with customers to understand their needs and preferences, tailoring AI and Analytics solutions to meet their specific requirements.
        • Required technical and professional expertise
        • AI Solution Implementation:
          Exposure to implementing Analytics Solutions, with an understanding of ensuring seamless integration and optimal performance.
        Requirements Gathering:
        Experience translating customer requirements into spreadsheet and OLAP solutions.
          AI Technology Education:
          Experience working with customers to provide training and guidance on the effective use of AI solutions.
            Production Deployment Support:
            Exposure to assisting customers in moving AI solutions from development to production environments.
              Client Collaboration:
              Experience working with customers to understand their needs and preferences, tailoring solutions to meet specific requirements.
                AI Integration Expertise:
                Exposure to integrating AI technology into customer operations, enabling successful adoption and utilization.
                • Preferred technical and professional experience
                • AI Solution Customization:
                  Exposure to tailoring AI and Analytics solutions to meet specific customer requirements, with an understanding of adapting technology to unique operational needs.
                Advanced AI Integration:
                Experience working with integrating AI technology into complex customer systems, enabling seamless interaction and optimal performance.
                  AI Training Development:
                  Exposure to creating customized training programs for customers, empowering them to effectively utilize AI and Analytics solutions and maximize benefits.

                  IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.