Associate Specialist - Operations
Listed on 2026-03-01
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IT/Tech
Systems Analyst, Cloud Computing, Technical Support, Data Analyst
About The Client Innovation Center (CIC)
IBM Consulting Client Innovation Centers (CICs) are high-delivery, team-based environments where technologists work onsite to build real solutions for real clients. At CIC, associates collaborate closely with peers and experienced practitioners to design, build, test, and support enterprise applications delivery centers are built for learning through delivery, combining hands‑on project work, structured training, mentorship, and teamwork to help early‑career professionals develop strong technical foundations and grow with confidence.
This role is ideal for individuals who enjoy problem‑solving, learning quickly, and working in an in‑person, collaborative delivery environment.
As An Associate Package Specialist, You Will- Support packaged application implementations across phases such as requirements gathering, configuration, testing, deployment, and production support
- Assist with application configuration, data migration activities, integrations, and environment setup
- Participate in testing, validation, and defect resolution activities
- Support production environments by helping analyze issues and contribute to resolution efforts
- Work with functional and technical team members to help integrate packaged solutions into client business environments
- Build consulting, business process, and packaged application expertise through structured training, mentorship, and hands‑on delivery experience
This role is based in an IBM Client Innovation Center (CIC) and requires regular onsite presence at the assigned delivery center. Working onsite enables hands‑on learning, real‑time collaboration, and mentorship that support faster growth and stronger delivery outcomes.
Travel may be required for up to 60% of the time or 3 days per week (home on weekends), based on project requirements.
Work Authorization- IBM will not provide visa sponsorship for this position. Candidates must be eligible to work in the U.S. without current or future sponsorship requirements.
Master's Degree
Required Technical And Professional Expertise Core Foundations- Ability to work effectively in a technology‑driven consulting environment where tools, platforms, and client needs evolve over time
- Strong analytical and problem‑solving skills, with the ability to approach complex tasks using structured, logical thinking
- Ability to learn new systems and technologies quickly and apply them in a delivery setting
- Comfortable working onsite in a collaborative, team‑based environment
- Exposure to enterprise or packaged applications through coursework, academic projects, internships, or work experience
- Familiarity with basic concepts such as:
- Business process flows
- System configuration versus customization
- Testing and validation
- Ability to translate business or functional requirements into system configurations and solutions, with guidance from senior team members
- Clear written and verbal communication skills to support collaboration with technical and non‑technical stakeholders
- Familiarity with cloud computing concepts (e.g., hosting applications, environment setup, system integrations, basic cloud services) on at least one platform such as AWS, Azure, IBM Cloud, or Google Cloud, gained through coursework, labs, projects, or self‑study
- Exposure through coursework or projects to web development concepts, APIs, or application frameworks (e.g., RESTful services, Spring Boot, .NET Core, Flask/Django, Node.js, or similar)
- Bachelor’s degree or equivalent practical experience in Computer Science, Engineering, or a related technical field
- Experience working on system implementations or configuration projects
- Exposure to packaged applications (e.g., ERP, HCM, CRM, or similar systems)
- Familiarity with data migration concepts or integration workflows
- Experience working in Agile or structured project delivery environments
- Experience collaborating with others on team‑based projects
- Exposure to databases such as MySQL, Postgre
SQL, SQL Server, Oracle, DB2, or MongoDB - Exposure to analytics or data tools such as SPSS, SAS, Tableau, Hadoop, or Spark, depending on practice needs
- Experience collaborating with others on team‑based software projects
- Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self‑study
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