MS
Programme
Internship
Location
Alpharetta, GA
Duration
January 2027 through June 2027; six months
About the role
Six-month Technical Program Co-op with Parametric’s Technology Program Management organization. The role combines program management fundamentals with artificial intelligence, workflow automation, dashboarding, and data-driven insights to improve technology delivery, reporting, governance, and productivity across Engineering, Product, Business, and TPM leadership teams.
Responsibilities
- Identify TPM workflows that can be simplified, automated, or enhanced through AI-enabled solutions.
- Develop reusable AI prompts, templates, workflows, playbooks, and productivity solutions for TPM activities.
- Automate action logs, status reports, RAID logs, executive summaries, meeting documentation, and project reporting.
- Support technology planning, tracking, governance, dependency management, risk management, issue management, and milestone monitoring.
- Build dashboards and visualizations using data from Jira, SharePoint, Teams, and related platforms.
- Research AI technologies, recommend practical use cases, and support responsible AI standards and knowledge-sharing sessions.
Eligibility and Program Conditions
- This opportunity is exclusively for current students seeking a full six-month Co-op experience.
- Applicants must remain enrolled in a degree program and graduate after June 2027.
- The Co-op runs from January 2027 through June 2027 in Alpharetta, Georgia.
- Applicants must live locally or have pre-existing arrangements to live locally during the program.
- No housing, transportation, or moving assistance will be provided.
- Background and fingerprint screening are required; Co-ops are not eligible for benefits.
Required Qualifications
- Pursuing a bachelor’s or master’s degree in computer science, engineering, information systems, business technology, or a related discipline.
- Interest, coursework, or experience in program management, project management, business analysis, technology, data analytics, or artificial intelligence.
- Strong interest in artificial intelligence, generative AI, prompt engineering, and AI-assisted productivity techniques.
- Basic understanding of SDLC, Agile delivery, Scrum, or SAFe methodologies.
- Strong analytical, problem-solving, communication, and presentation skills.
- Ability to manage multiple tasks, stakeholders, and priorities in a fast-paced environment.
Preferred Qualifications
- Familiarity with Jira, Confluence, SharePoint, Microsoft Teams, Power BI, and reporting or collaboration tools.
- Exposure to Microsoft Copilot, ChatGPT, GitHub Copilot, Power Automate, Power Apps, Azure AI Services, or Jira AI.
- Experience or coursework creating automations or workflows with low-code or no-code platforms.
- Hands-on experience with AI productivity tools, workflow automation, dashboarding, or AI-assisted reporting.
- Ability to translate AI capabilities into practical business value for program management and decision support.
- Curiosity about emerging technologies and interest in improving operational efficiency through process improvement.
Success Measures
- Reduce TPM administrative workload through AI-driven improvements and workflow automation.
- Create reusable TPM AI templates, prompts, playbooks, and automation solutions.
- Improve project reporting quality, consistency, and timeliness across the organization.
- Accelerate meeting minutes, RAID logs, executive summaries, and status report creation.
- Contribute measurable productivity gains and build partnerships across delivery and leadership teams.