Product Management Intern - Hybrid, Data-Driven Impact

Wayne State University; Northern (KY); Hybride; USD 32 000 - 41 000; Plein temps

Résumé du poste

UKG's Intern Academy program invites students to jump-start their careers in product management within a global HR organization. Interns work on high-impact projects, receive mentorship, and participate in learning programs, team-building activities, and networking events.

As an intern in the Product Management track, you will engage cross-functionally, conduct user interviews, and learn to use product tools while contributing to the product life cycle and data-driven decisions.

Qualifications

• Pursuing a degree in business-related field.
• Strong analytical and attention to detail.
• Familiarity with the software development lifecycle.
• Ability to analyze data and make recommendations.

Responsabilités

• Conducting user interviews to map/document flows and dependencies which influence engineering decisions.
• Use product tools to gather insights, track progress, and make data-driven decisions while learning key platforms used in our product practices.
• You will build an understanding of the rhythm of product life cycle while creating a log of future development work.
• Contribute to efficiency and process enhancement projects.
• Compile, analyze and track operational data/metrics.

Connaissances

Analytical skills

Attention to detail

Software development lifecycle

Data analysis

Organizational skills

Project management

Office productivity tools

Jira familiarity

Formation

Pursuing a degree in Business, Finance, Accounting, Economics or MIS

Outils

Jira

Pendo

B360

Salesforce

Description du poste

UKG's Intern Academy program invites students to jump-start their careers in product management within a global HR organization. Interns work on high-impact projects, receive mentorship, and participate in learning programs, team-building activities, and networking events.

As an intern in the Product Management track, you will engage cross-functionally, conduct user interviews, and learn to use product tools while contributing to the product life cycle and data-driven decisions.