MS
Morgan StanleyAlpharetta, GA

Parametric - 2027 AI-Enabled Technical Co-op (Alpharetta, GA)

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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.