PMO Automation Intern

Actian Corporation

1d • $20 - $30

About The Position

At Actian we believe data should be a competitive advantage. Through the deployment of data technology,
underpinned by a relentless and trusted service commitment, we help business critical systems transact and integrate
at their very best. As a trusted leader in data management, integration, and analytics, our mission is to helping
businesses unlock the full potential of their data to drive better decision-making and innovation wherever it resides —
in the cloud, on-premises, or hybrid environments.
With a global team of experts and a culture of innovation, we’re dedicated to helping our customers solve their most
complex data challenges.
Internship Overview

We are looking for interns to join us for our 2026 Summer Internship Program! This 12-week program is set to begin
June 8th , so if you are looking for an incredible opportunity to partner with the best and brightest minds in the industry,
apply today. This program has been designed with our interns in mind and includes structured learning plans, a
dedicated buddy, and a focused capstone project that you will have the opportunity to present in our Internship
Showcase!

What It’s Like Interning with Us!
▪ Intern Events— just because the internship is remote, doesn’t mean we don’t have time for fun! Regular
intern events will be hosted throughout your 12-weeks with us!
▪ Time with Executives— Interns all get a chance to connect with our executive team through panel
discussions, 1:1s, Q&A meetings, and events
▪ Workshops — Interns participate in workshops geared towards helping new professionals
▪ Opportunity to travel – we will fly you out for onsite orientation at our Austin, Texas office location!
Position Overview

The Project Management Office (PMO) is seeking a high-energy, technically proficient PMO Automation Intern role focused on modernizing our project reporting infrastructure. This individual will bridge the gap between raw project
data and executive-level insights by building an automated, AI-ready ecosystem. The ideal candidate possesses a mix of data engineering skills and business acumen to help the PMO shift from manual, reactive tracking to proactive, predictive management.

Requirements

• Must be actively enrolled in a college degree program
• Must be legally authorized to work in the United States

Nice To Haves

• Education: Currently pursuing a Bachelor’s or Master’s degree in Data Science, Business Analytics, Industrial Engineering, or Computer Science.
• Technical Familiarity: Prior experience with SQL or advanced Python libraries (such as Pandas or NumPy) for data manipulation.
• Project Management Interest: A basic understanding of Agile or Waterfall methodologies and a desire to apply data science within a corporate PMO environment.
• Analytical Mindset: Previous experience or coursework in predictive modeling, statistical analysis, or machine learning.
• Communication: Ability to present technical data structures to non-technical stakeholders clearly and effectively.

Responsibilities

• Automate Data Pipelines: Design and implement automated workflows using Python and Excel to ingest, clean, and normalize data from disparate sources like Jira.
• Develop Predictive Dashboards: Build and maintain centralized KPI dashboards in Power BI or Tableau that utilize built-in AI features for trend forecasting and schedule variance analysis.
• Lead the PMO AI Capstone Project: Serve as the primary architect for the & AI-Ready KPI Dashboard; project, delivering a fully functional MVP that integrates historical project data with predictive modeling by the end of the 12-week term.
• Stakeholder Engagement: Collaborate with project managers to define reporting requirements and translate complex data findings into actionable business insights for the final presentation.
• Technical Documentation: Author a comprehensive & AI Maturity Roadmap; and technical guide to ensure the sustainability and scalability of the automated systems post-internship.

What This Job Offers

• Career Level: Intern