Assistant Director - Data Governance

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Assistant Director - Data Governance based in the United States. The Assistant Director - Data Governance will help establish trusted, consistent, and well-managed data as a strategic business asset.

You will oversee governance and data quality across critical relationship data domains, including Ownership, Individuals, and Sanctions information.

The role combines data governance, quality management, metadata, master data, and stakeholder collaboration across business and technology teams.

You will translate enterprise data strategy into practical standards, controls, definitions, and accountability frameworks.

The position offers significant exposure to data transformation initiatives supporting analytics, artificial intelligence, regulatory compliance, and business decision-making.

You will work with diverse stakeholders to identify data issues, improve processes, and drive measurable improvements in data integrity and usability.

This is an opportunity to shape how critical enterprise data is governed, understood, protected, and responsibly used at scale.

Accountabilities

• Drive data governance, quality, and integrity initiatives across critical relationship data domains, ensuring data assets remain trusted, consistent, accurate, and fit for purpose.
• Govern Ownership, Individuals, and Sanctions data by defining and maintaining data standards, business rules, critical data elements, metadata, and data quality controls.
• Partner with business and technology stakeholders to establish data requirements, definitions, ownership responsibilities, stewardship models, and accountability frameworks.
• Develop and implement data quality controls, metrics, monitoring processes, root-cause analysis, and remediation programs to address data quality issues.
• Create and maintain governance artifacts, including business glossaries, metadata, data definitions, governance documentation, and related standards.
• Support master data and reference data management practices to improve consistency, integrity, accessibility, and usability across enterprise data assets.
• Track governance issues, risks, actions, and remediation activities, ensuring appropriate follow-up, escalation, and timely resolution.
• Facilitate data governance forums and influence stakeholders to strengthen data accountability, stewardship, and adoption of governance best practices.
• Contribute to strategic data transformation and process improvement initiatives across the broader data organization.
• Collaborate across business, product, data, technology, Legal, and Risk teams to improve data discoverability, understanding, integration, protection, and responsible use.
• Explore opportunities to apply AI-enabled tools and approaches to improve governance processes, operational efficiency, and data management practices.

Requirements

• Bachelor’s degree or equivalent professional experience in Data Management, Information Management, Business, Finance, Computer Science, or a related discipline.
• Proven experience in Data Governance, Data Quality, Data Management, or a closely related field.
• Experience working with Ownership, Individuals, Sanctions, or comparable regulatory and relationship data, including complex ownership structures, entity relationships, individual/contact information, and regulatory attributes.
• Strong understanding of Data Governance, Data Quality, Metadata Management, and Master Data Management principles and practices.
• Demonstrated experience defining and implementing data quality controls, measurements, monitoring frameworks, and remediation processes.
• Experience developing or maintaining metadata, data lineage, data catalogs, business glossaries, or data quality tooling is preferred.
• Familiarity with Structured Query Language (SQL) and data analysis techniques is advantageous.
• DAMA Certified Data Management Professional or another relevant data management certification is preferred.
• Strong analytical and problem-solving abilities, with excellent communication and stakeholder-management skills.
• Ability to manage multiple priorities, navigate ambiguity, and collaborate effectively across business and technology teams.
• Demonstrated ability to influence stakeholders, facilitate governance discussions, and promote accountability without relying solely on formal authority.
• Basic understanding of artificial intelligence concepts, with curiosity about how AI tools can improve processes and efficiency.
• Interest in developing knowledge of responsible AI practices, including AI risk management, governance, and ethical use.

Benefits

• Salary: $103,800–$150,600 USD base salary for U.S.-based positions, depending on experience, education, skills, level, and location.
• Incentive compensation: Eligibility for additional incentive compensation beyond base salary.
• Healthcare: Medical, dental, and vision coverage.
• Retirement: 401(k) plan with opportunities for employee and employer contributions.
• Paid time off: Paid time off and parental leave.
• Insurance: Life, disability, and accident insurance options.
• Employee stock purchase: Access to a discounted employee stock purchase plan.
• Education: Tuition reimbursement to support continued professional development.
• Career growth: Opportunities to contribute to strategic data transformation, governance, analytics, AI, and enterprise data initiatives.
• Inclusive workplace: Commitment to equal opportunity, diverse perspectives, accessibility, and reasonable workplace accommodations.
• Mission-driven environment: Work on data capabilities that support informed decision-making, regulatory compliance, responsible AI, and globally used products and services.

How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.