Data Governance Analyst II (Hybrid)
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What you'll do
- Supports and contributes to the implementation and ongoing enhancement of data governance policies, standards, and procedures.
- Executes data quality monitoring, issue management, and remediation activities with increasing ownership and accountability.
- Maintains and enhances data catalogs and metadata repositories (e.g., Atlan), ensuring accuracy, completeness, and usability.
- Leverages and helps implement automation and AI-assisted solutions to improve data quality monitoring, metadata management, and governance workflows.
- Partners directly with business data owners and stewards to define and document data elements, lineage, and usage.
- Facilitates discussions and working sessions to promote alignment on data definitions and governance practices.
- Supports and advocates for self-service analytics and AI-enabled data discovery, ensuring proper governance and control.
- Monitors and analyzes data governance metrics, including data quality trends, control effectiveness, and audit findings.
- Prepares and contributes to documentation for internal/external audits, regulatory exams, and risk assessments.
- Evaluates and supports governance controls for automated processes and AI-driven use cases, ensuring compliance with regulatory and internal standards.
- Contributes to enterprise initiatives such as data platform modernization, reporting enhancements, and regulatory change programs.
- Actively participates in cross-functional projects to embed governance into new systems, automated workflows, and AI-driven solutions.
What they're looking for
- Bachelor’s degree in Information Systems, Business, Data Analytics, Risk Management, or a related field.
- Minimum 2 years of experience in data governance, data management, analytics, or a related field.
- Working knowledge of data governance principles, data quality management, metadata, and regulatory frameworks (e.g., DCAM, FFIEC, NIST).
- Experience with or exposure to data tools such as data catalogs (e.g., Atlan), data warehouses (e.g., Snowflake), transformation tools (e.g., dbt), or reporting platforms.
- Familiarity with or interest in data automation, AI/ML concepts, and AI-assisted analytics tools, with the ability to apply them in a governed environment.
- Strong analytical and problem-solving skills, with the ability to work independently and manage multiple priorities.
- Effective communication and collaboration skills, with experience working across technical and business teams in a regulated environment.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Position Summary
***This position is available as a hybrid position in our Sioux Falls, SD office.***
At The Bancorp, we’ve spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.
Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.
The Data Governance Analyst II supports and advances The Bancorp Bank’s enterprise data governance program by driving activities that ensure accuracy, quality, and appropriate use of the bank’s data assets. This role is suited for professionals with foundational experience who can operate with increasing independence while collaborating across business, technology, and risk teams. The analyst is expected to contribute to the design, implementation, and continuous improvement of governance practices that align with regulatory expectations and internal risk management standards. This role also plays an active part in enabling data automation and AI-driven governance capabilities, helping scale data management processes and support innovation across the organization.
Key Responsibilities
- Supports and contributes to the implementation and ongoing enhancement of data governance policies, standards, and procedures.
- Executes data quality monitoring, issue management, and remediation activities with increasing ownership and accountability.
- Maintains and enhances data catalogs and metadata repositories (e.g., Atlan), ensuring accuracy, completeness, and usability.
- Leverages and helps implement automation and AI-assisted solutions to improve data quality monitoring, metadata management, and governance workflows.
- Partners directly with business data owners and stewards to define and document data elements, lineage, and usage.
- Facilitates discussions and working sessions to promote alignment on data definitions and governance practices.
- Supports and advocates for self-service analytics and AI-enabled data discovery, ensuring proper governance and control.
- Monitors and analyzes data governance metrics, including data quality trends, control effectiveness, and audit findings.
- Prepares and contributes to documentation for internal/external audits, regulatory exams, and risk assessments.
- Evaluates and supports governance controls for automated processes and AI-driven use cases, ensuring compliance with regulatory and internal standards.
- Contributes to enterprise initiatives such as data platform modernization, reporting enhancements, and regulatory change programs.
- Actively participates in cross-functional projects to embed governance into new systems, automated workflows, and AI-driven solutions.
- Identifies opportunities to improve processes through automation, standardization, and scalable data practices.
Qualification Requirements
- Bachelor’s degree in Information Systems, Business, Data Analytics, Risk Management, or a related field.
- Minimum 2 years of experience in data governance, data management, analytics, or a related field.
- Working knowledge of data governance principles, data quality management, metadata, and regulatoryframeworks (e.g., DCAM, FFIEC, NIST).
- Experience with or exposure to data tools such as data catalogs (e.g., Atlan), data warehouses (e.g.,Snowflake), transformation tools (e.g., dbt), or reporting platforms.
- Familiarity with or interest in data automation, AI/ML concepts, and AI-assisted analytics tools, with the abilityto apply them in a governed environment.
- Strong analytical and problem-solving skills, with the ability to work independently and manage multiplepriorities.
- Effective communication and collaboration skills, with experience working across technical and businessteams in a regulated environment.
Additional Information
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/
Company Culture & Background Screening
Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
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