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

Before we get to know you, please be sure to get to know us! Read more and learn about how Parametric fits within Morgan Stanley Investment Management. Learn more at

Who we are : Parametric is part of Morgan Stanley Investment Management, the asset management division. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We offer systematic alpha and alternative strategies to complement clients' core holdings. As a fiduciary, Parametric encourages companies to provide greater transparency around environmental, social, and governance (ESG) issues and rectify clear lapses in oversight. Clients trust us to represent their interests through our investment stewardship activities.

Important Eligibility Requirement : This role is exclusively for current students seeking a 6-month Co-op experience from January 2027 through June 2027. Applicants must remain enrolled in a degree program during the Co-op and have a graduation date after June 2027. Individuals who have already graduated or cannot commit to the full 6-month program are not eligible for consideration.

The work environment is hybrid with most jobs working in office 3 days a week and others at home.

Duration: Starts in January 2027 and ends in June 2027, 6 months Co-op experience.

Location: Alpharetta, GA

Other :

• Must live within the local area of office or have pre-existing arrangements to live in the area for the duration of the program. No housing, no transportation nor any moving assistance will be provided.
• Satisfactory results of background, and fingerprint screens/ check
• Co-ops are not eligible for benefits
• Our work environment is hybrid with most jobs working in office 3 days a week and others at home.
• Ability to commit to the duration of the program.
• Resumes will be reviewed on a rolling basis until the role is filled or the application deadline, whichever comes first. Applications must be submitted by posted deadline, to be considered.

Salary is hourly: $31.25 Other: Co-op roles are not eligible for medical or other employer benefits.

Parametric's Technology Program Management organization is focused on strengthening delivery transparency, improving execution discipline, and leveraging AI to automate, simplify, and optimize TPM processes. The team partners across Engineering, Product, Business, and leadership stakeholders to improve program governance, portfolio insights, reporting consistency, and delivery productivity.

• The organization is driving AI-enabled improvements across status reporting, RAID management, meeting summaries, workflow automation, executive summaries, portfolio reporting, prompt engineering, and TPM productivity.
• The team supports cross-functional technology delivery by improving governance practices, standardizing reporting artifacts, and enabling data-driven delivery insights.
• This role will help shape the future of AI-enabled program management by bringing together foundational TPM discipline and practical AI adoption.

Parametric is seeking an innovative and AI-savvy Technical Program Co-op to help transform how Technology Program Management is executed across the organization. This role is ideal for an early-career candidate who is passionate about Artificial Intelligence, process optimization, technology delivery, and improving business outcomes through intelligent automation.

The successful candidate will partner with senior Technical Program Managers, Engineering, Product, and Business teams to improve operational efficiency through AI-powered automation, data-driven insights, and streamlined program governance. This role blends foundational program management skills with practical AI expertise to modernize TPM processes, improve productivity, and enhance delivery transparency.

PRIMARY RESPONSIBILITIES

• Identify TPM workflows that can be simplified, automated, or enhanced through AI-enabled solutions.
• Develop and maintain AI prompts, templates, and reusable workflows for common TPM activities.
• Leverage approved AI and productivity tools, including Microsoft Copilot, ChatGPT, Jira AI capabilities, Power Platform, and related solutions, to improve team productivity.
• Automate and improve the generation of action logs, status reports, RAID logs, executive summaries, and project documentation.
• Measure and report efficiency gains resulting from AI adoption and workflow automation initiatives.
• Research emerging AI technologies and recommend practical use cases for the TPM organization.
• Assist with planning, tracking, and execution of technology initiatives across cross-functional teams.
• Support project governance processes, including status reporting, dependency tracking, risk management, issue management, and milestone monitoring.
• Coordinate cross-functional meetings and ensure follow-up actions, owners, and due dates are tracked to completion.
• Maintain project documentation, dashboards, reporting artifacts, and leadership-ready status updates.
• Build dashboards and visualizations that provide real-time program and portfolio insights.
• Aggregate data from Jira, SharePoint, Teams, and other platforms to improve reporting accuracy and consistency.
• Use AI-driven analytics to identify delivery risks, schedule impacts, dependency concerns, and portfolio health trends.
• Support TPM leadership with data-driven recommendations and portfolio health reporting.
• Partner with TPM leaders to pilot, implement, and scale innovative AI solutions.
• Document best practices and create reusable AI playbooks for the TPM organization.
• Facilitate AI knowledge-sharing sessions and continuous learning initiatives.
• Help establish standards, governance, and responsible AI practices within TPM processes.

Job Requirements

• Working towards a Bachelor's or a 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 AI-related roles.
• Strong interest in Artificial Intelligence, Generative AI, prompt engineering, and AI-assisted productivity techniques.
• Basic understanding of software development lifecycle (SDLC), Agile delivery practices, Scrum, or SAFe methodologies.
• Excellent analytical, problem-solving, communication, and presentation skills.
• Ability to manage multiple tasks, stakeholders, and priorities in a fast-paced environment.
• 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 features.
• Experience or coursework in creating automations or workflows using low-code/no-code platforms is preferred.

HIGHLY DESIRED

• Hands-on experience with AI-enabled productivity tools, workflow automation, dashboarding, or AI-assisted reporting.
• Ability to translate AI capabilities into practical business value for program management, reporting, and decision support.
• Curiosity for emerging technologies and a strong desire to become a future technology leader.
• Strong process improvement mindset with interest in reducing manual work and improving operational efficiency.
• Potential to become a recognized AI champion within the Technology Program Management function.

Success Measures

• Implement AI-driven improvements that reduce TPM administrative workload.
• Create reusable TPM AI templates, prompts, playbooks, and automation solutions.
• Improve the quality, consistency, and timeliness of project reporting.
• Accelerate creation of meeting minutes, RAID logs, executive summaries, and status reports.
• Contribute measurable productivity gains across the TPM organization.
• Build effective partnerships across Engineering, Product, Business, and TPM leadership teams.