Group Data Management Office (GDMO) Graduate Talent Program – Data Management

Job Description

2027 Graduate Talent Program – Group Data Management Office – Weehawken | UBS

The Tone:
This is a 24-month Graduate Talent Program at UBS, located in Weehawken, New York/New Jersey. UBS is a leading global wealth manager and universal bank in Switzerland, with operations in over 50 markets worldwide. This program offers ambitious students the opportunity to learn fundamental data management concepts and contribute to embedding a strong data management culture across the firm. You will work within a collaborative environment to understand and optimize how critical data is governed.

The TL;DR
• Role: Graduate Talent Program
• Type: Full-time
• Location: In-person Weehawken, New York / New Jersey, United States

• Team: Group Data Management Office (GDMO) in NY/NJ.
• Mission: This person helps embed a data management culture into the firm by advocating for the firm’s strategy and proactively challenging how data is handled.
• Tech Stack:

What You’ll Actually Do
• Learn: Understand data management concepts such as Data Governance, Metadata Management, Data Quality, and Data Taxonomies.
• Optimize: Document and optimize how business divisions and functions govern their critical data in line with the firm’s data management framework.
• Analyze: Analyze complex datasets to identify patterns and observations.
• Advise: Understand business requirements and partner with subject matter experts (SMEs) and product owners to advise solutions.
• Collaborate: Establish strong working relationships with business and Technology stakeholders across the firm.

The Must-Haves
• Background: Graduating between December 2026 and June 2027 with a fully completed degree by the program start date. This position is not eligible for any employment-based immigration sponsorship, nor will UBS provide assistance for OPT or CPT.
• Experience: No specific years of prior experience required; ability to demonstrate relevant skills through extracurricular activities or challenges is valued.
• Skills: Cumulative GPA of 3.0 or above; strong analytical skills; strategic thinking; strong communication skills; ability to learn, adapt quickly, and apply technology to business challenges.
• Bonus: Can evidence how experimental and responsible use of AI can improve outcomes and efficiency.