Associate Package Consultant - Microsoft 2027

Come forge the future like an IBMer Ready to think boldly, work with some of the world's most recognized brands, and kick-start your career? Welcome to the IBM's Associate Program for university hires. From day one, you'll collaborate with global clients and contribute to projects that help organizations solve their toughest challenges across digital transformation, cloud strategy, AI adoption, and process redesign - working alongside a global cohort of diverse, ambitious peers. As an Associate, you'll have access to industry-recognized certifications, digital badges, and a minimum of 40 hours of structured learning per year on IBM's AI-driven learning platform - supported by coaches, mentors, and thriving professional communities across practices. IBM's culture of internal mobility means you'll have the freedom to explore new technologies, industries, and career paths as your interests evolve. To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly — it's the best way to get a centralized view of which roles you have active applications against As an Associate Package Consultant at IBM you will help us usher clients into a new age of future-looking technology. You'll be assisting clients in the selection, implementation, and support of applications, methodology, and tools. You'll be trained up to perform as an expert on existing and/or new applications specialized around things like Cloud, DevOp, Enterprise Applications, and Mobile. You will help our clients integrate enterprise-wide data for improved performance and efficiency. Leveraging a growth mindset, you're ready and willing to deliver business value, wherever needed. In your role you may be responsible for: Working with project teams to advise clients on enterprise-wide data integrations. Creating ways to better assess analytics, better supporting business decision making. Work as a team member with client personnel and other IBM teams to identify functional requirements and subsequently working with or in some instances leading others in the identification, justification, and design of the client's solution. Participate in a wide range of design activities, from requirements analysis through systems, application and/or process design specification and implementation. Gain knowledge across multiple platforms, processes, or architectures. These positions are anticipated to start in 2027. Passion for understanding the applications of emerging technologies, and ability to adapt modern approaches and innovative solutions to client problems. Strong problem-solving capabilities, including the desire to take ambiguous problems and deliver creative and well-structured solutions; as well as applying deep analytical skills to ensure recommendations are informed by data and insights. A high-level resilience with the ability to manage dynamic workloads in an agile environment. Powerful communication skills, successfully applying verbal and written communications to expose and defend points of view to business leaders and team members. Willingness to travel up to 100% Preferred Majors: Computer Science, MIS/IT, Computer Engineering, Data Science, SW Engineering, or related fields. Exposure to or experience working with cloud native application methodologies and tools is a plus. Exposure to multiple programming technologies (e.g. Javascript, HTML, XML, SQL) is a plus. Preferred Certifications: Azure Foundational (Cloud or AI Associate); Associate, Professional, or Specialty (Aspirational) in-progress certifications are fine. Skills/Tech: Programming fundamentals (.NET/ASP.NET, C#, Java, Python, or JavaScript/TypeScript.); SQL Basics; networking basics, Terraform/CloudFormation, Linux fundamentals Exposure to cloud and AI concepts such as Azure services, data platforms, security, and AI models through coursework, labs, internships, or personal projects, with a willingness to keep learning. Exposure to tools like Copilot, ChatGPT, or similar AI assistants to research, write, analyze, and improve productivity, while applying critical thinking and validation.