Senior Data Governance Specialist (Hands-on / Business-Facing)

🏢 Growth Acceleration Partners · all Growth Acceleration Partners jobs
📍 United States
📅 Posted 2026-08-21 · via Himalayas
🏷 Data-Governance,Data-Governance-Specialist,Data-Quality,Data-Management,Data-Catalogs,Data-Governance-Analyst,Senior-Data-Management-Specialist,Senior-Data-Steward
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WHAT WE DO

Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success.

GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success.
Summary

We are looking for a Senior Data Governance Specialist to support the execution and day-to-day delivery of data governance initiatives within a financial services organization.

This role is highly hands-on and business-facing. You will work closely with business stakeholders, data owners, and technical teams to understand the current data landscape, including existing data infrastructure, resources and products, identify gaps, and help deliver concrete governance outcomes—such as enriched data catalogs, defined ownership, and actionable data quality improvements.

This is not a purely strategic role. The ideal candidate is someone who can roll up their sleeves, actively contribute to deliverables using industry-standard tools to perform exploration, orchestration and other data management tasks, and translate conversations with the business into clear actions, documentation, and execution.
Education
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Bachelor’s or Master’s degree in Data Management, Information Systems, Computer Science, Business Analytics, or a related field.

Professional Experience

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5+ years of experience in Data Governance, Data Quality, Data Management, or related roles.

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Proven hands-on experience supporting data governance execution in regulated environments (financial services, banking, insurance, or similar).

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Experience working directly with business stakeholders to understand data needs, challenges, and priorities.

Key Responsibilities

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Support the execution of data management and governance initiatives across multiple business functions.

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Work directly with business stakeholders to understand current data landscapes, challenges, and needs.

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Capture outcomes from stakeholder meetings and translate them into clear action plans and governance deliverables.

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Identify and prioritize high-impact, low-complexity opportunities to deliver immediate value and demonstrate the tangible benefits of data governance to stakeholders.

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Contribute to the enrichment and maintenance of the enterprise data catalog (definitions, ownership, metadata).

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Assist with defining, implementing, and monitoring data quality rules in collaboration with Data Quality and Engineering teams.

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Support data lineage and metadata documentation efforts.

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Help coordinate data governance activities across domains, ensuring follow-through and execution.

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Document governance processes, decisions, definitions, and artifacts clearly and consistently.

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Participate in business-facing sessions and working meetings, serving as a bridge between business and data teams.

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Support regulatory and audit-related data governance requirements through proper documentation and controls.

Required Technical Skills

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Strong understanding of data governance concepts, data ownership, stewardship, and metadata.

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Hands-on experience with data catalogs an

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