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# Manager, Data Governance

- **Company:** Bain Capital
- **Location:** Boston, MA, United States
- **Experience:** Expert
- **Salary:** $125,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Architecture, Data Governance, Data Visualization, Data Warehousing, Machine Learning, Metadata Repositories, Power BI, Software Tools, SQL Databases, Information Technology, Data Management, Tools for Reporting
- **Published:** June 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f0e657a4de4e2176

## About the Role

Do you have experience in Technology management?, * Leadership and ability to be a change agent; can-do attitude

 * In-depth understanding of underlying data, systems and root cause analysis
 * Ability to map out, document, and rationalize processes
 * Experience / background specific to Private Credit and Equity with heavy exposure to data management and systems in either Finance, Operations or Data Governance capacity, * Proven experience collaborating effectively with multiple stakeholders/internal customers
 * Strong communication and relationship management skills across several key functions
 * Strong process discipline - ability to design new processes and improve existing ones
 * Self-starter with a deadline-driven mindset
 * A strong understanding of multiple asset classes - it is a plus to specifically have experience with fixed income, private equity, private credit, liquid credit and distressed assets
 * Comfort with a data-intensive and demanding environment
 * Experience in Finance, Operations or standing up or maintaining a data governance program at a similar firm
 * 10+ years of experience in asset management or closely related field

## Description

The successful candidate will join Bain Capital's Central Data Governance Team as a Manager and report to the Credit & Special Situations Data Governance Team Lead. This role will be responsible for the design, implementation, adoption, and maintenance of a spectrum of data governance capabilities and solutions. These capabilities include but are not limited to data process redesign/modernization projects, data issue management, data quality management, data catalog management, data health KPI's and metrics reporting, and visualization tool and AI-enablement. This role will work very closely with a variety of functions such as Investment and Trade Operations, Finance, Data Analytics & Reporting, Portfolio Management, Investor Relations and Information Technology. This is an exciting and impactful opportunity to lead and drive transformational changes for the Credit and Special Situations businesses., * Analyze and drive efficiency around end-to-end workflows

 * Map out processes from data collection to end-user reporting with enhanced quality controls
 * Prioritize and oversee key IT projects that impact data and reporting, as well as drive effective project planning and execution
 * Partner with key business stakeholders to design systems architecture and implement data strategies across systems landscape, including deal pipeline, accounting system, portfolio company monitoring system, valuation and revenue models, as well as data warehouse completeness and end user reporting consumption
 * Ensure appropriate data architecture, completeness, quality and transparency to enable automated reporting using visualization reporting tools (e.g. Power BI) and approved AI reporting tools
 * Be a change agent in reducing manual processes and developing consistent approaches to where mappings, calculations and data aggregations should be stored in the systems
 * Partner with key business stakeholders and use traditional SQL or machine learning to build reasonability tests and create alerts via a central data quality framework (e.g. Monte Carlo)
 * Document key data terms, processes and protocols to create transparency and foster appropriate data use and process efficiency and governance via a central data catalog framework (e.g. Atlan)
 * Act as a Data Management Office that identifies data and reporting challenges, track and root cause data issues, and design proper remediation controls, actions and process redesigns to avoid future occurrences
 * Serves as a sounding board for key stakeholders across functions
 * Develop and track progress of data and reporting health KPI's / metrics
 * Build scalable data and process solutions that integrate with both business-specific and firmwide reporting needs

The primary measures of success in this role are:

 * Mitigation of data errors in reporting to investors and in internal portfolio analytics/models and management reporting
 * Data and process flow redesign and automation
 * Improved data quality and transparency
 * Enablement of automated reporting via flexible visualization tools and approved AI tools
 * Integration of AI tools into processes and using AI tools to gain tangible efficiencies


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