Delivery Consultant Technology Expert Labs at IBM

Your role and responsibilities

Key responsibilities will include

• Requirements Gathering: Collaborating with clients to understand their business needs, identify pain points, and define project scope.
• Solution Design: Designing and architecting solutions that meet client needs, leveraging technology and industry expertise.
• Implementation and Configuration: Assisting in the implementation and configuration of solutions, including data ingestion, processing, and storage.
• Testing and Quality Assurance: Conducting thorough testing and quality assurance to ensure the solution meets client requirements and is free from defects.
• Training and Knowledge Transfer: Providing training and knowledge transfer to clients on the implemented solution, ensuring they can manage and maintain it effectively.
• Stakeholder Management: Collaborating with various stakeholders, including clients, project managers, and internal teams, to ensure successful project delivery.

Required education

• Bachelor's Degree

Preferred education

• Bachelor's Degree

Required technical and professional expertise

• Master’s degree in Computer Science, Engineering, or a related field. Or significant experience
• 3+ years plus experience in some of the following:
• Programming in Java, J2EE, Servlet, EJB, XML, Rest, Spring, Nodejs, SQL, Python
• Knowledge of Linux, Unix systems
• Knowledge of Cloud architecture such as Containers, Kubernetes, Openshift and Devops Methodology
• Knowledge of software architectural design, application development, integration, and testing.
• Understanding of Agile methodologies and practices in delivering IT projects.
• Excellent communication, project management, and stakeholder management skills.
• Excellent analytical and problem-solving skills.

Preferred technical and professional experience

• Knowledge/experience of data governance, data integration and related technologies
• Knowledge/experience of AI/Data Science and related technologies, e.g. data analysis, model development, or data pipeline design.  Experience in Large Language Models (LLMs), Familiarity with machine learning frameworks
• Knowledge/experience of Business Automation technologies and methodologies, e.g. Business process mining, orchestration and content management
• Ability to work with diverse technical teams and clients.