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Data Product Manager

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Bank of America
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst
  • Business
    Data Analyst
Job Description & How to Apply Below

Join to apply for the Data Product Manager role at Bank of America

Join to apply for the Data Product Manager role at Bank of America



Job Description :

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.



Job Description :

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!



Job Description

Summary:

The Product Manager for Data Management Strategy Excellence will play a pivotal role in the GRA organization, leading the charge in developing and managing data-driven products and workflow solutions that assess and mitigate risks. This position calls for an individual with a strong background in data and product management, combined with a deep understanding of the product management lifecycle and the impact across all risk categories including credit, market, liquidity, strategic, operational, reputational and compliance.

The ideal candidate will be responsible for bridging the gap between technical data analysis and strategic product development, ensuring our products effectively support the identification, measurement, monitoring and control of risks, challenges, and opportunities.

In this role, you will:

  • Develop and manage innovative data products focused on risk assessment and mitigation.
  • Collaborate with cross-functional teams including business stakeholders, data scientists and engineers to define product vision and strategy.
  • Oversee the entire data and product lifecycle, from ideation through development, launch, and continuous improvement.
  • Utilize a deep understanding of risk management to inform data/product development and ensure accuracy and relevance.
  • Analyze complex datasets to be leveraged in models for risk identification, measurement, monitoring and control.
Responsibilities:

  • Lead the development and implementation of data-driven risk products.
  • Ensure products meet high standards of quality, usability, and reliability.
  • Conduct market analysis to identify new opportunities and stakeholder needs.
  • Facilitate communication between technical teams and business stakeholders.
  • Define and track key performance indicators for product success.
  • Stay abreast of the latest developments in data technology.


Required Qualifications :

  • 8+ years of experience in data/product management.
  • Strong understanding of risk analysis.
  • Strong understanding of SDLC process
  • Proven track record in developing and managing data-driven products.
  • Excellent analytical and problem-solving skills.
  • Strong communication abilities.
  • Ability to work effectively in a dynamic, cross-functional environment.
This role is an opportunity to make a significant impact in a vital and growing field, leveraging your experience to help the organization navigate the complexities of data driven risk management.



Job Description :

Manage a group or process (potentially global). Work with business data users to define the use of data within risk systems. Recommend remediation of control gaps and implements effective risk controls of our data processes and systems. Participate in and lead user acceptance testing of data control processes. Understand existing risk systems, data flows, and infrastructure to identify gaps between business usage of data and current implementations.

Recommend alternate data sources and processes to improve the control environment. Lead cross functional strategic efforts to remediate…
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