Data Governance Senior Associate

Bain Capital Overview

Established in 1984, Bain Capital has emerged as a global leader in private investment, managing approximately $185 billion in assets. Our dedicated teams excel in creating value across private equity, public equity, fixed income, credit, venture capital, and real estate investments. With a diligence-intensive, value-added investment approach, we deliver industry-leading returns for our investors. Headquartered in Boston, Bain Capital also has offices in prominent cities around the world, including Chicago, Dublin, Guangzhou, Hong Kong, Lisbon, London, Luxembourg, Madrid, Melbourne, Mumbai, Munich, New York, Palo Alto, San Francisco, Seoul, Shanghai, Sydney, and Tokyo.

Bain Capital Credit and Special Situations Overview

Bain Capital Credit & Special Situations are independently managed affiliates of Bain Capital, overseeing a collective $67 billion in assets. Our investments span the full spectrum of credit strategies, encompassing leveraged loans, high-yield bonds, distressed debt, direct lending, structured products, non-performing loans, and equities. Through our diverse range of funds, we have the capability to invest at every level of a company’s capital structure, from secured debt to equity, providing crucial capital to growing companies with unique financing needs.

Our investment process relies on thorough business and financial analysis fostered by a culture of vigorous debate. We blend a consulting-style approach to industry, competitor, and business analysis with an in-depth examination of a target company’s financial performance and capital structure, aiming to identify the best industries, companies, and relative value among a multitude of securities. Bain Capital Credit boasts a world-class team of investment professionals with extensive experience managing high-yield investments.

About the Role

We are seeking a skilled and experienced Data Engineer to join our technology team, focusing on data governance and data quality initiatives. At Bain Capital, we view data as a critical strategic asset, and our data management capabilities are a key differentiator for sustained business success. The successful candidate will partner with our Data Management function to implement tools, frameworks, and data quality checks, enhancing the reliability, discoverability, efficiency, and quality of data across the organization.

This role is designed for someone passionate about data who understands the discipline and commitment required to improve and sustain data quality in a complex business domain. It is a fantastic opportunity to work with the latest cloud technologies and data management frameworks.

Your mandate will include the creation, implementation, and ongoing oversight of data governance frameworks, focusing on data catalogs, data lineage, and data quality. You will be responsible for onboarding data products and assets to our data governance platform and ensuring they remain current. In collaboration with data team and application engineers, you will identify and implement source system checks and process improvements as needed.

Responsibilities Include

• Development, implementation, and maintenance of enterprise-wide data governance technologies, prioritizing data quality, data lineage, and data discoverability.
• Implementing data-related standards, policies, procedures, and architectures in alignment with Central Data Governance team's strategic objectives.
• Designing and implementing technology tools and frameworks for monitoring data quality, leveraging key data quality metrics defined by the Central Data Governance team.
• Creating and integrating data quality rules into the DQ framework.
• Establishing checks in source systems and data pipelines to ensure data quality and clean data flow.
• Implementing technology solutions to define and track key performance indicators for data quality and governance processes, with tools to report these metrics automatically.
• Providing necessary tooling and systems support to the data team for data governance activities.
• Collaborating with various data and application teams to evaluate, redesign, and reimplement data and process flows as necessary.

Qualifications

Must-Have:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 3-5 years of experience in a data engineering role or similar (e.g., SQL, Python).
• Experience working in cloud environments (AWS, Azure).
• Solid understanding of data governance principles and practices.
• Familiarity with data catalog, data lineage, and data quality frameworks.
• Experience with data governance tools such as Atlan, Collibra, Alation, or Manta is highly desirable.
• Strong analytical and technical problem-solving skills.
• Excellent interpersonal and communication skills.
• A proactive, ownership-driven attitude towards the