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Product Manager, Global Data Access Solutions
Job in
Boca Raton, Palm Beach County, Florida, 33481, USA
Listed on 2026-07-18
Listing for:
Trans Union LLC
Full Time
position Listed on 2026-07-18
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Science Manager, Business Systems & Technology Analysis
Job Description & How to Apply Below
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Team Overview
The Global Data Access Solutions team is a high-growth product management group responsible for building innovative data access and enrichment solutions that enable customers to safely analyze credit and broader datasets within their own environments. As Trans Union evolves toward a software-driven model, this team plays a critical role in transforming how data is delivered, with a strong focus on scalable, artificial intelligence (AI)-enabled products.
This role reports directly to the Vice President of Global Data Access Solutions division. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview and Core Responsibilities
- The Product Manager, Global Data Access Solutions will work closely with the Vice President of Global Data Access Solutions to bring innovative, timely, customer-informed solutions to market that will support the growth agenda for Data Enrichment, Data Extract, and Archive products
- Data Enrichment is a high growth global product that covers a variety of industries primarily, but not exclusively in financial services and consumer lending. It is offered in multiple editions including Snowflake and Google Cloud Platform (Google Cloud Platform)
- As a Product Manager, you will drive or support several high visibility strategic initiatives, including expanding Prescreen to Cloud Data Warehouse, integrating new artificial intelligence (AI) tools such as Orchestrator to Data Enrichment (DE), expanding access to the product on new platforms, and launching product availability in new global markets including the United Kingdom (UK) and India
- This role will be required to create high quality succinct and engaging presentation and discussion materials for use in engagements with executives both internal and external to Trans Union
- The role requires strong technical understanding of data delivery, management, and decision systems. Financial Services or Lending experience is preferred
- You will support leadership in defining, developing, launching and managing Global Data Access Solutions products and their go-to-market (GTM) approach as required for Consumer Lending
- 8-12 years of experience in relevant product management, including capturing requirements for and championing key Solutions initiatives for Global Data Access Solutions, and supporting Global Data Access Solutions (GDAS) leadership to size initiatives and develop three year and quarterly planning initiatives
- Creating compelling presentations that tie together the needs of the Global Data Access Solutions customer and product strategy, and developing and delivering senior level presentations to articulate strategy and business plans
- Constantly looking for ways to better serve our Global Data Access Solutions (GDAS) customers through expanded use cases of existing products and features, and engaging with peers to understand their plans and participate in realizing those plans in Global Data Access Solutions (GDAS)
- Operate in a Project Manager capacity where you can add unique value and insight, coordinating across the matrix to keep client file delivery and feature delivery on track
- Work with Sales and the Line of Business (LoB) to participate in customer meetings to gather competitive intelligence and Voice of Customer (VoC) to inform strategic Global Data Access Solutions (GDAS) priorities and effectively support the product
- Strong technical understanding of data delivery, management, and decision systems
- Experience with Cloud Data Warehouse platforms such as Snowflake and Google Cloud Platform (Google Cloud Platform)
- Understanding of data platforms supporting Data Enrichment, Data Extract, and Archive products
- Familiarity with integrating new artificial intelligence (AI) tools such as Orchestrator to Data Enrichment (DE)
- Knowledge of data access and data sharing across platforms
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